A data management method for scientific research projects in universities

Abstract

The present invention relates to a method for managing scientific research project data in colleges and universities. A scientific research project management system is used to construct an information database of scientific researchers in the school, a database of experts in longitudinal project application guidance in the school, and a database of longitudinal project establishment undertaken by the college. The scientific research project management system selects the most suitable longitudinal project application guidance experts in the school to provide project application guidance to the applicants to be recommended for longitudinal project application. In addition, a verified and effective fitting longitudinal project application success rate prediction model is obtained by extracting a set of scientific research ability and quality parameters of each scientific researcher in the school and a longitudinal project application success rate value of each scientific researcher in the school when applying for longitudinal projects in the past. The scientific research project management system uses the longitudinal project application success rate prediction model to predict the longitudinal project application success rate of any scientific researcher in the school, so that the scientific researcher can consider other project application plans in advance according to the longitudinal project application success rate.

Description

Technical Field

[0001] The present invention relates to the field of scientific research project management in universities, and in particular to a method for managing scientific research project data in universities. Background Art

[0002] With the national economic development and scientific and technological progress, colleges and universities will participate in more and more scientific research in key national areas. These colleges and universities undertake various scientific research projects, including vertical scientific research projects of national departments at all levels, as well as horizontal scientific research projects in cooperation or entrusted with enterprises and institutions.

[0003] When colleges and universities apply for vertical scientific research projects at the national, provincial, and municipal levels, the scientific research project management personnel of the university's scientific research department often first obtain notification information about the vertical project application from the websites of the vertical scientific research project management agencies at all levels (including notification documents and network addresses), and then publish the vertical project application notification information for the university on the website of the university's scientific research department in the name of the university's scientific research department, so that in-service researchers can promptly grasp the relevant scientific research project application notifications and consider whether to apply for such vertical projects.

[0004] As colleges and universities undertake more and more vertical scientific research projects, the amount of data involved in various vertical scientific research projects is huge and the data type is complex, which poses a huge challenge to how the scientific research departments of colleges and universities can effectively manage the data of these scientific research projects.

[0005] Although the existing scientific research departments of various universities also have their own scientific research project management systems and scientific research project data management methods, the existing scientific research project data management methods generally use manual data processing, and the manually processed data are mainly processed for a single management need. It is impossible to better deeply mine the scientific research project data that has been managed and processed by the scientific research departments of universities, and it is difficult to use these scientific research project management data to serve the daily scientific research, vertical project application and performance management of the universities to which they belong. It is even more impossible to predict in advance the probability of the vertical scientific research projects applied by researchers being successfully reviewed and approved. These problems existing in the existing scientific research project management methods will reduce the efficiency of scientific research project management in universities, which is not conducive to the long-term development of universities. Summary of the invention

[0006] The technical problem to be solved by the present invention is to provide a method for managing university scientific research project data in view of the above-mentioned prior art.

[0007] The technical solution adopted by the present invention to solve the above technical problems is: a method for managing scientific research project data in colleges and universities, characterized by comprising the following steps:

[0008] Step 1, using the scientific research project management system to establish an information database of on-campus scientific researchers and a database of on-campus tutoring experts for longitudinal project applications; wherein the information database of on-campus scientific researchers includes a basic information database of on-campus scientific researchers, a scientific research results database of on-campus scientific researchers, and a longitudinal scientific research project database of on-campus scientific researchers;

[0009] The basic information database of on-campus researchers includes the name, age, highest degree, professional title, major, university, contact number and email address of the on-campus researchers;

[0010] The on-campus scientific research personnel achievement database includes the names of the on-campus scientific research personnel and the scientific research achievements corresponding to the names of the on-campus scientific research personnel. The scientific research achievements include publicly published journal articles, authorized patents, published works related to their majors, and various awards obtained by the on-campus scientific research personnel and related to their majors;

[0011] The longitudinal research project database of the on-campus researchers includes the names of the on-campus researchers and the longitudinal research project sub-databases corresponding to the names of the on-campus researchers. The longitudinal research project sub-databases include longitudinal research projects that have been hosted, longitudinal research projects that are being hosted, longitudinal research projects that have been participated in, and longitudinal research projects that are being participated in;

[0012] The database of on-campus tutoring experts for vertical project applications includes the name, age, highest degree, professional title, major, university of graduation, contact number, contact email, the highest level of vertical projects they have ever presided over, the highest amount of funding for vertical projects they have ever presided over, the research period of the highest level vertical project they have ever presided over, and the level of vertical projects they are best at tutoring. The level of vertical projects is a national project, a provincial or ministerial project, or a municipal or departmental project.

[0013] Step 2: Use the scientific research project management system to extract the scientific research ability and quality parameter sets of each scientific researcher in the school and the vertical project application success rate values ​​of each scientific researcher in the school when applying for vertical projects in the past, and uniformly assign corresponding weight factors to the scientific research ability and quality in each scientific research ability and quality set, so as to form a scientific research ability and quality weight factor database containing the scientific research ability and quality weight factors of all scientific researchers in the school;

[0014] Among them, the set of scientific research ability and quality parameters of on-campus researchers includes the researcher's age group, highest academic degree, professional title, the highest academic degree and graduation level of the university, the total number of vertical projects he has presided over, the highest level of vertical projects he has presided over, and the proportion of successfully completed projects. The proportion of successfully completed projects is the proportion of the total number of successfully completed vertical projects to the vertical projects he has presided over.

[0015] The weight factor for the age group of researchers is denoted as ψ Age , the weight factor for the highest academic degree of scientific researchers is marked as ψ Education , the weight factor for the researcher's title is denoted as ψ Professional , the weight factor for the highest academic degree of the scientific researcher is marked as ψ Institution The weight factor for the total number of longitudinal projects that researchers have hosted is denoted by ψ Project , the highest level weight factor for the longitudinal project that the researcher has hosted is marked as ψ Project_grade The weight factor for the proportion of successful project completion of researchers is denoted as ψ Project_end ;

[0016] The values ​​of each scientific research capability and quality in each scientific research capability and quality set are assigned as follows:

[0017]

[0018] Among them, α1∈(0,1), α2∈(0,1), α3∈(0,1), α4∈(0,1), α5∈(0,1), α6∈(0,1);

[0019]

[0020]

[0021]

[0022]

[0023]

[0024]

[0025] Step 3, the scientific research project management system adds the vertical project application success rate value of each scientific researcher to the scientific research ability quality weight factor database of the scientific researcher to form an updated scientific research ability quality weight factor database of the scientific researcher; wherein, in the updated scientific research ability quality weight factor database of the scientific researcher, the vertical project application success rate of the scientific researcher corresponds one by one to the scientific research ability quality weight factor data of the scientific researcher;

[0026] Step 4, the scientific research project management system divides the updated scientific research personnel scientific research ability quality weight factor database into three sub-databases according to the number of scientific researchers, and uses the three sub-databases as a fitting sub-database, a verification sub-database and a test sub-database respectively; wherein the ratio of the number of scientific researchers in the fitting sub-database, the verification sub-database and the test sub-database is 5:3:2;

[0027] Step 5, the scientific research project management system uses the data of each scientific research ability quality weight factor in the fitting sub-database to respectively fit the relationship between the longitudinal project application success rate of the scientific researcher and the scientific research ability quality weight factor of the scientific researcher, and obtains multiple fitting relationship models;

[0028] Step 6, the scientific research project management system uses the scientific research ability quality weight factor data in the verification sub-database to verify and adjust each obtained fitting relationship model, and selects the fitting relationship model with a fitting degree of 100% as the test relationship model;

[0029] Step 7, the scientific research project management system inputs the scientific research ability quality weight factor data in the test sub-database into the test relationship model, and when the longitudinal project application success rate output by the test relationship model is consistent with the longitudinal project application success rate of the scientific researcher in the test sub-database, the test relationship model is used as the longitudinal project application success rate prediction model and the process goes to step 8; otherwise, the process goes to step 6;

[0030] Step 8, the scientific research project management system establishes a vertical project establishment database undertaken by the university; wherein the vertical project establishment database at least includes the name of the project, information of the project issuing unit, information of the project application unit, information of the project applicant, information of the project leader, information of the project team members, the level of the project, the total amount of project funding, the project research period, the project start date, the project mid-term inspection date and the project completion inspection date;

[0031] Step 9, the scientific research project management system establishes a communication connection with the vertical project issuing units at all levels; wherein the vertical project issuing unit is at least one of the Ministry of Science and Technology, the Provincial Department of Science and Technology, the Municipal Science and Technology Bureau, the Ministry of Education, the Provincial Department of Education and the Municipal Education Bureau;

[0032] Step 10, the scientific research project management system obtains the latest project application notice from the vertical project issuing units at all levels, extracts the project application guide content information and the attachments of the latest project application notice;

[0033] Step 11, the scientific research project management system obtains the project application notification key information data list in the project application guide content information in accordance with the preset project application notification key information list; wherein the preset project application notification key information list includes the project application unit condition information, project applicant condition information, project application topic range information, project level, project corresponding funding, project research period, project application start date, project application deadline and the corresponding consulting contact information of the project application notification issuing unit;

[0034] Step 12, when the scientific research project management system determines that its own university conditions meet the project application unit condition information of the latest project application notice, it proceeds to step 13; otherwise, the scientific research project management system temporarily stores the latest project application notice in the local storage;

[0035] Step 13, the scientific research project management system uses the items in the key information data list of the project application notification as the comparison standard, and compares and judges them with the information in the basic information database of the on-campus scientific researchers of the university:

[0036] When there is a scientific researcher whose basic information fully meets the project applicant condition information in the key information data list of the project application notification in the basic information database of the on-campus scientific researchers, the scientific research project management system will mark the scientific researcher as a candidate for recommendation who matches the latest project application notification, and screen out the information of the on-campus counseling experts for vertical project application that matches the candidate for recommendation in the on-campus counseling experts database for vertical project application, and use the screened on-campus counseling experts for vertical project application as the recommended counseling experts for vertical project application, and then proceed to step 14; otherwise, the scientific research project management system will forward the latest project application notification in the form of a notification on the official website of the scientific research department of its campus;

[0037] Step 14, the scientific research project management system forwards the latest project application notice and the corresponding information of the vertical project application guidance and recommendation expert to the contact email address of the recommended applicant in the form of an email, and repeatedly sends the latest project application notice and the remaining days to the project application deadline to the contact email address of the recommended applicant at a preset frequency before the project application deadline of the latest project application notice;

[0038] Step 15, the scientific research project management system receives and registers the latest project information of each scientific researcher in the school; wherein the latest project information includes the name of the project, the project issuing unit information, the project application unit information, the project applicant information, the project leader information, the project team member information, the project level, the total amount of project funding, the project research period, the project start date, the project mid-term inspection date and the project completion inspection date;

[0039] Step 16, the scientific research project management system establishes a data connection with the financial system of the university, and when the financial system of the university confirms receipt of the funds for any vertical scientific research project, the financial system of the university sends a notification message of the receipt of the funds for any vertical scientific research project to the scientific research project management system;

[0040] Step 17, the scientific research project management system sends the notification information of the arrival of the funds of any vertical scientific research project sent by the university financial system to the email address of the project leader of the scientific research project, and the scientific research project management system starts the progress information tracking for any vertical scientific research project, and after receiving and storing the expenditure budget plan submitted by the project leader of any vertical scientific research project, sends the expenditure budget plan corresponding to any vertical scientific research project to the university financial system for archiving and backup;

[0041] Step 18, the scientific research project management system registers and files the scientific research results in progress under the name of any vertical scientific research project for which funds have been received, and sends the registered scientific research results information to the financial system of the university to check the expenditure of funds;

[0042] Step 19: The university financial system verifies the expenditure based on the registered research results information:

[0043] When the university financial system determines that there is a fund expenditure corresponding to the scientific research achievement and the fund expenditure does not exceed the fund expenditure budget plan listed in the scientific research project to which the scientific research achievement belongs, the university financial system sends feedback information that the fund expenditure of the scientific research achievement is verified to be correct to the scientific research project management system, and proceeds to step 20; otherwise, the university financial system sends feedback prompt information that the fund expenditure of the scientific research achievement is abnormal to the scientific research project management system, and the scientific research project management system marks the abnormal scientific research achievement information as an abnormal fund expenditure;

[0044] Step 20, the scientific research project management system sends a time node reminder to the contact email address of the person in charge of any vertical scientific research project; wherein, the scientific research project management system sends a vertical project time node reminder notification information to the contact email address of the project person in charge of any vertical scientific research project two months before the mid-term inspection date and the project final inspection date corresponding to any vertical scientific research project; the vertical project time node reminder notification information includes the project mid-term inspection date, the list of materials required for the mid-term inspection, the project final inspection date, and the list of materials required for the project final inspection;

[0045] Step 21, the scientific research project management system forms a list of longitudinal scientific research projects within one month of the project completion date, receives electronic project completion materials sent for each longitudinal scientific research project, and forms a database of longitudinal scientific research projects to be completed; wherein the database of longitudinal scientific research projects to be completed includes a plurality of folders of longitudinal scientific research projects to be completed named after the longitudinal scientific research projects to be completed, and the folders of longitudinal scientific research projects to be completed contain the submitted completion materials corresponding to the longitudinal scientific research projects to be completed;

[0046] Step 22, the scientific research project management system registers the conclusion of each longitudinal scientific research project to be concluded according to the conclusion of the expert review committee on whether to recommend the conclusion of each longitudinal scientific research project to be concluded, and classifies the longitudinal scientific research projects to be concluded that have obtained the conclusion into the longitudinal scientific research project sub-database under the name of the corresponding on-campus scientific researcher, and then uses the longitudinal scientific research project sub-database under the name of the current on-campus scientific researcher as the latest longitudinal scientific research project sub-database corresponding to the on-campus scientific researcher;

[0047] Step 23, when the scientific research project management system receives a request for predicting the success rate of longitudinal project applications sent to any on-campus scientific researcher, the scientific research project management system extracts the scientific research ability and quality weight factor of the any on-campus scientific researcher, and inputs the extracted scientific research ability and quality weight factor of the scientific researcher into the longitudinal project application success rate prediction model to obtain the longitudinal project application success rate of the any on-campus scientific researcher.

[0048] Furthermore, in step 13 of the university scientific research project data management method, the scientific research project management system screens and obtains the longitudinal project application on-campus tutoring experts who match the applicants to be recommended according to the following steps S1 to S7:

[0049] Step S1, the scientific research project management system extracts the project application topic range information, project level, corresponding funding and project research period of the candidate to be recommended; wherein the project level of the candidate to be recommended is marked as N, the national project level N=6, the provincial and ministerial project level N=3, and the municipal and departmental project level N=1; the corresponding funding amount of the project of the candidate to be recommended is marked as M, and the number of days corresponding to the research period of the project of the candidate to be recommended is marked as D;

[0050] Step S2, the scientific research project management system obtains the project application guidance difficulty index of the candidate to be recommended according to the project level, corresponding funding and project research period of the candidate to be recommended; wherein the project application guidance difficulty index of the candidate to be recommended is marked as Ω:

[0051]

[0052] Step S3, the scientific research project management system extracts the highest level of vertical projects ever presided over, the highest amount of funds ever presided over, and the research period of the highest level vertical projects ever presided over by each vertical project application on-campus counseling expert in the vertical project application on-campus counseling expert database, and obtains the project application counseling ability index of each vertical project application on-campus counseling expert for the project of the recommended applicant; wherein the total number of vertical project application on-campus counseling experts in the vertical project application on-campus counseling expert database is marked as X, and the highest level of vertical projects ever presided over by the x-th vertical project application on-campus counseling expert is marked as N x , 1≤x≤X, the highest amount of funding for the project that the on-campus tutoring expert has ever presided over for the x-th vertical project is marked as M x , the xth vertical project application, the school counseling expert has presided over the highest level of vertical project research period of D days x , the longitudinal project application tutoring ability index of the x-th longitudinal project application on-campus tutoring expert is marked as Ψ x :

[0053]

[0054] Step S4, the scientific research project management system obtains the application guidance matching coefficient between the projects of the on-campus guidance experts for each vertical project application and the projects of the applicants to be recommended according to the obtained project application guidance ability index of the on-campus guidance experts for each vertical project application and the project application guidance difficulty index of the applicants to be recommended; wherein the application guidance matching coefficient between the on-campus guidance experts for the x-th vertical project application and the projects of the applicants to be recommended is marked as δ x :

[0055]

[0056] Step S5, the scientific research project management system presets a threshold value for the application guidance matching coefficient, and obtains the application guidance matching difference between the application guidance matching coefficient corresponding to the on-campus guidance expert for each longitudinal project application and the preset application guidance matching coefficient threshold value; wherein the preset application guidance matching coefficient threshold value is marked as δ0, and the application guidance matching coefficient δ corresponding to the on-campus guidance expert for the x-th longitudinal project application is x The difference between the preset declaration guidance matching coefficient threshold δ0 and the declaration guidance matching coefficient threshold δ0 is marked as Δδ x :

[0057] Δδ x =|δ x -δ0|;

[0058] Step S6, the scientific research project management system obtains the application and guidance matching difference with the minimum difference from the preset target difference according to each application and guidance matching difference obtained, and uses the application and guidance matching difference corresponding to the application and guidance matching difference with the minimum difference as the preferred application and guidance matching difference, and searches for the longitudinal project application on-campus guidance expert corresponding to the preferred application and guidance matching difference;

[0059] Step S7, the scientific research project management system uses the found on-campus tutoring expert for the vertical project application as the screened on-campus tutoring expert for the vertical project application that matches the applicant to be recommended.

[0060] The scientific research project data management method of this university adopts a unique method for screening on-campus tutoring experts for longitudinal project applications. The scientific research project management system obtains the project application tutoring difficulty index of the applicant to be recommended according to the longitudinal project level of the applicant to be recommended, the corresponding funding for the project, and the project research period. Then, combined with the project application tutoring ability index of each longitudinal project application on-campus tutoring expert in the longitudinal project application on-campus tutoring expert database for the project of the applicant to be recommended and the project application tutoring difficulty index of the applicant to be recommended, the application tutoring matching coefficient between each longitudinal project application on-campus tutoring expert and the project of the applicant to be recommended is obtained. Therefore, by comparing the difference between the application tutoring matching coefficient and the preset application tutoring matching coefficient threshold, the longitudinal project application on-campus tutoring expert who best matches the project corresponding to the applicant to be recommended is intelligently screened out, avoiding the problem of deviation in traditional expert recommendation due to human subjective judgment.

[0061] Furthermore, in the university scientific research project data management method, in step S6, when the number of on-campus tutoring experts for longitudinal project application corresponding to the preferred application tutoring matching difference is found to be at least two, the scientific research project management system will use all the currently found on-campus tutoring experts for longitudinal project application as the screened on-campus tutoring experts for longitudinal project application that match the applicant to be recommended.

[0062] Improved, in the university scientific research project data management method, in step S6, when the number of on-campus tutoring experts for longitudinal project application corresponding to the preferred application tutoring matching difference is found to be at least two, the scientific research project management system will search for all the current on-campus tutoring experts for longitudinal project application whose major is exactly the same as that of the applicant to be recommended as the screened on-campus tutoring experts for longitudinal project application that match the applicant to be recommended.

[0063] In order to timely update the on-campus tutoring expert database for longitudinal project applications of the university, further improvement is made in the university scientific research project data management method, wherein the scientific research project management system receives the information of resigned and retired personnel sent by the personnel management system of the university at a first preset access frequency, and deletes the resigned and retired personnel who serve as on-campus tutoring experts for longitudinal project applications from the on-campus tutoring expert database for longitudinal project applications.

[0064] Furthermore, in the university scientific research project data management method, the scientific research project management system receives the newly introduced personnel information sent by the personnel management system of the university according to the second preset access frequency, and uses the newly introduced personnel who meet the requirements of the on-campus tutoring experts for the vertical project application as alternative on-campus tutoring experts for the vertical project application, and adds the alternative on-campus tutoring experts for the vertical project application to the original database of on-campus tutoring experts for the vertical project application; wherein the first preset access frequency is equal to the second preset access frequency.

[0065] Furthermore, in the university scientific research project data management method, the first preset access frequency and the second preset access frequency are both 365 days.

[0066] Furthermore, in the university scientific research project data management method, the preset frequency in step 14 is 24 hours.

[0067] Furthermore, in the university scientific research project data management method, the preset application guidance matching coefficient threshold δ0=0.01.

[0068] In order to realize data sharing with the personnel department of the university and improve the efficiency of the personnel department's performance management of scientific researchers, the university scientific research project data management method also includes: the scientific research project management system counts the latest scientific research achievements of each on-campus scientific researcher in the basic information database of the on-campus scientific researchers in the past year and the longitudinal scientific research projects they are currently hosting, and obtains the annual scientific research workload data of each on-campus scientific researcher; the scientific research project management system sends the annual scientific research workload data of each on-campus scientific researcher to the personnel management system of the university for performance work processing.

[0069] Compared with the prior art, the advantages of the present invention are:

[0070] First, the scientific research project management system builds an information database of on-campus scientific researchers, an on-campus guidance expert database for vertical project applications, and a database of vertical project approval undertaken by the university. By establishing data communication connections between itself and the issuing units of vertical projects at all levels, it can timely obtain the latest project application notifications issued by vertical projects at all levels, and automatically extract key information from the project application notification to determine whether it meets the application conditions of the project. Once it meets the application conditions of the project, the scientific research project management system will promptly send the project application notification to the scientific researchers who match the project, and automatically select the vertical project application guidance recommended experts who are most suitable for the project application guidance work from the established on-campus guidance expert database for vertical project applications, and recommend the vertical project application guidance recommended experts to the scientific researchers who match the project, so as to provide vertical project application guidance and improve the probability of vertical project application passing.

[0071] Secondly, the university's scientific research project data management method adopts a unique method for screening on-campus tutoring experts for longitudinal project applications, that is, the scientific research project management system obtains the project application tutoring difficulty index of the candidate to be recommended based on the project level of the candidate to be recommended, the corresponding funding for the project, and the project research period, and then combines the project application tutoring ability index of each longitudinal project application on-campus tutoring expert in the longitudinal project application on-campus tutoring expert database for the candidate to be recommended's project and the project application tutoring difficulty index of the candidate to be recommended to obtain the application tutoring matching coefficient between each longitudinal project application on-campus tutoring expert and the candidate to be recommended's project, thereby screening out the longitudinal project application on-campus tutoring expert who best matches the candidate to be recommended's project by comparing the difference between the application tutoring matching coefficient and the preset application tutoring matching coefficient threshold, thereby avoiding the problem of deviation in traditional expert recommendation due to subjective human judgment;

[0072] Finally, the university scientific research project data management method extracts the scientific research ability and quality parameter sets of each on-campus scientific researchers and the longitudinal project application success rate values ​​of each on-campus scientific researchers when they applied for longitudinal projects in the past, and performs weight assignment and fitting operations on the scientific research ability and quality parameters of the on-campus scientific researchers to obtain a fitting relationship model between the longitudinal project application success rate and the scientific research ability and quality parameters of the scientific researchers. After verification and testing, a longitudinal project application success rate prediction model is obtained, so that according to the longitudinal project application success rate prediction request sent to any on-campus scientific researcher, the scientific research project management system uses the longitudinal project application success rate prediction model to predict the longitudinal project application success rate of any on-campus scientific researcher, so that scientific researchers who apply for longitudinal projects can have a certain understanding of the success rate of the projects they have applied for, and it is also convenient for scientific researchers to consider other project application plans in advance based on the longitudinal project application success rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a connection diagram of the scientific research project management system in the embodiment of the present invention and the vertical project issuing unit, the university financial system and the university personnel department when sharing data;

[0074] Figure 2 The present invention is a flowchart of a scientific research project management system for selecting on-campus tutoring experts for vertical project applications. DETAILED DESCRIPTION

[0075] The present invention is further described in detail below with reference to the accompanying drawings.

[0076] This embodiment provides a method for managing university scientific research project data. Figure 1 and Figure 2 As shown, the university's scientific research project data management method includes the following steps:

[0077] Step 1: Use the scientific research project management system to establish an information database of on-campus scientific researchers and a database of on-campus tutoring experts for longitudinal project applications; the information database of on-campus scientific researchers includes a basic information database of on-campus scientific researchers, a scientific research results database of on-campus scientific researchers, and a longitudinal scientific research project database of on-campus scientific researchers;

[0078] The basic information database of on-campus researchers includes the name, age, highest degree, professional title, major, university, contact number and email address of on-campus researchers;

[0079] The database of achievements of on-campus researchers includes the names of on-campus researchers and the research achievements under the names of the on-campus researchers. The research achievements here include publicly published journal articles, authorized patents, published works related to their majors, and various awards related to their majors won by on-campus researchers; authorized patents are preferably invention patents in authorization announcements and invention patents in authorization announcements; of course, newly authorized invention patents and newly authorized invention patents that have gone through the registration procedures in accordance with the patent grant notice and have paid the patent annual fee, registration fee and printing fee are also regarded as authorized patents;

[0080] The longitudinal research project database of on-campus researchers includes the names of on-campus researchers and the longitudinal research project sub-databases corresponding to the names of the on-campus researchers. The longitudinal research project sub-database includes the longitudinal research projects that have been hosted, the longitudinal research projects that are being hosted, the longitudinal research projects that have been participated in, and the longitudinal research projects that are being participated in;

[0081] The database of on-campus counseling experts for vertical project applications includes the name, age, highest degree, professional title, major, university of graduation, contact number, contact email, the highest level of vertical projects they have ever presided over, the highest amount of funding for vertical projects they have ever presided over, the research period of the highest level vertical project they have ever presided over, and the level of vertical projects they are best at counseling. The level of vertical projects can be national, provincial or ministerial, or municipal projects.

[0082] Step 2: Use the scientific research project management system to extract the scientific research ability and quality parameter sets of each scientific researcher in the school and the vertical project application success rate values ​​of each scientific researcher in the school when applying for vertical projects in the past, and uniformly assign corresponding weight factors to the scientific research ability and quality in each scientific research ability and quality set, so as to form a scientific research ability and quality weight factor database containing the scientific research ability and quality weight factors of all scientific researchers in the school;

[0083] The set of research capability and quality parameters of the on-campus researchers here includes the researcher's age group, highest academic degree, professional title, the highest academic degree and graduation level of the university, the total number of vertical projects he has presided over, the highest level of vertical projects he has presided over, and the proportion of successfully completed projects. The proportion of successfully completed projects here is the proportion of the total number of successfully completed vertical projects to the vertical projects he has presided over;

[0084] The weight factor for the age group of researchers is denoted as ψ Age , the weight factor for the highest academic degree of scientific researchers is marked as ψ Education , the weight factor for the researcher's title is denoted as ψ Professional , the weight factor for the highest academic degree of the scientific researcher is marked as ψ Institution The weight factor for the total number of longitudinal projects that researchers have hosted is denoted by ψ Project , the highest level weight factor for the longitudinal project that the researcher has hosted is marked as ψ Project_grade The weight factor for the proportion of successful project completion of researchers is denoted as ψ Project_end ;

[0085] The values ​​of each scientific research capability and quality in each scientific research capability and quality set are assigned as follows:

[0086]

[0087] Among them, α1∈(0,1), α2∈(0,1), α3∈(0,1), α4∈(0,1), α5∈(0,1), α6∈(0,1);

[0088]

[0089]

[0090]

[0091]

[0092]

[0093]

[0094] Step 3, the scientific research project management system adds the vertical project application success rate value of each scientific researcher to the scientific research ability quality weight factor database of scientific researchers, forming an updated scientific research ability quality weight factor database of scientific researchers; wherein, in the updated scientific research ability quality weight factor database of scientific researchers, the vertical project application success rate of scientific researchers corresponds one by one to the scientific research ability quality weight factor data of the scientific researchers;

[0095] That is to say, for each researcher, the success rate of the researcher's vertical project application corresponds to the researcher's age group, highest academic degree, professional title, the highest academic degree and graduation level of the university, the total number of vertical projects he has presided over, the highest level of vertical projects he has presided over, and the proportion of successfully completed projects;

[0096] Step 4, the scientific research project management system divides the updated scientific research personnel scientific research ability quality weight factor database into three sub-databases according to the number of scientific researchers, and uses the three sub-databases as a fitting sub-database, a verification sub-database and a test sub-database respectively; wherein the ratio of the number of scientific researchers in the fitting sub-database, the verification sub-database and the test sub-database is preferably set to 5:3:2;

[0097] It should be noted that when the number of scientific researchers corresponding to the above-mentioned updated scientific research ability quality weight factor database is not an integer multiple of 10, some scientific researchers will be randomly eliminated so that the remaining number of scientific researchers is an integer multiple of 10;

[0098] Step 5, the scientific research project management system uses the data of each scientific research ability quality weight factor in the fitting sub-database to respectively fit the relationship between the longitudinal project application success rate of the scientific researcher and the scientific research ability quality weight factor of the scientific researcher, and obtains multiple fitting relationship models; wherein, the fitting process for the fitting relationship model here can adopt the current mature fitting method;

[0099] Step 6, the scientific research project management system uses the scientific research ability quality weight factor data in the verification sub-database to verify and adjust each obtained fitting relationship model, and selects the fitting relationship model with a fitting degree of 100% as the test relationship model;

[0100] Step 7, the scientific research project management system inputs the scientific research ability quality weight factor data in the test sub-database into the test relationship model, and when the longitudinal project application success rate output by the test relationship model is consistent with the longitudinal project application success rate of the scientific researcher in the test sub-database, the test relationship model is used as the longitudinal project application success rate prediction model and the process goes to step 8; otherwise, the process goes to step 6;

[0101] Step 8, the scientific research project management system establishes a vertical project establishment database undertaken by the university; wherein the vertical project establishment database here at least includes the name of the project establishment, information of the project issuing unit, information of the project application unit, information of the project applicant, information of the project leader, information of the project team members, the project level, the total amount of project funding, the project research period, the project start date, the project mid-term inspection date and the project completion inspection date;

[0102] Step 9, the scientific research project management system establishes a communication connection with the vertical project issuing units at all levels; wherein the vertical project issuing unit is at least one of the National Ministry of Science and Technology 21, the Provincial Department of Science and Technology 31, the Municipal Science and Technology Bureau 41, the National Ministry of Education 22, the Provincial Department of Education 32 and the Municipal Education Bureau 42; Figure 1 A schematic diagram of the connection between the scientific research project management system, the vertical project issuing unit and the personnel department of the university when sharing data is given;

[0103] Step 10, the scientific research project management system obtains the latest project application notice from the vertical project issuing units at all levels, extracts the project application guide content information and the attachments of the latest project application notice;

[0104] Step 11, the scientific research project management system obtains the project application notification key information data list in the project application guide content information in accordance with the preset project application notification key information list; wherein the preset project application notification key information list includes the project application unit condition information, project applicant condition information, project application topic range information, project level, project corresponding funding, project research period, project application start date, project application deadline and the corresponding consulting contact information of the project application notification issuing unit;

[0105] Step 12: When the scientific research project management system determines that the university conditions of the scientific research project management system meet the project application unit condition information of the latest project application notification, it proceeds to step 13; otherwise, the scientific research project management system temporarily stores the latest project application notification in the local storage, so as to facilitate the subsequent retrieval of the vertical project list of the university that does not meet the application conditions as needed;

[0106] Step 13, the scientific research project management system uses the items in the key information data list of the project application notification as the comparison standard, and compares them with the information in the basic information database of the university's on-campus scientific researchers:

[0107] When there is scientific researcher basic information database in the school that fully meets the project applicant conditions in the key information data list of the project application notification, it means that the scientific researcher of the university has the hope of applying for the vertical project. At this time, the scientific research project management system will mark the scientific researcher who meets the conditions as a candidate for recommendation who matches the latest project application notification, and screen out the vertical project application on-campus counseling expert information that matches the candidate for recommendation in the vertical project application on-campus counseling expert database, and use the screened vertical project application on-campus counseling expert as the vertical project application counseling recommendation expert, and then go to step 14; otherwise, the scientific research project management system will forward the latest project application notification on the official website of the scientific research department of its school in the form of a notification; the vertical project application counseling recommendation expert can help the corresponding candidate for recommendation to do vertical project application counseling, in the hope of helping the candidate for recommendation to pass the review of the vertical project application more smoothly through counseling;

[0108] Specifically, the scientific research project management system in this embodiment selects and obtains the on-campus tutoring experts for vertical project application that match the applicant to be recommended in the manner of the following steps S1 to S7:

[0109] Step S1, the scientific research project management system extracts the project application topic range information, project level, corresponding funding and project research period of the candidate to be recommended; wherein, the project level of the candidate to be recommended is marked as N, the national project level N=6, the provincial and ministerial project level N=3, and the municipal and departmental project level N=1; the corresponding funding amount of the project of the candidate to be recommended is marked as M, and the number of days corresponding to the research period of the project of the candidate to be recommended is marked as D;

[0110] Step S2, the scientific research project management system obtains the project application guidance difficulty index of the candidate to be recommended according to the project level, corresponding funding and project research period of the candidate to be recommended; wherein the project application guidance difficulty index of the candidate to be recommended is marked as Ω:

[0111]

[0112] Step S3, the scientific research project management system extracts the highest level of vertical projects that each vertical project application school counseling expert has ever presided over, the highest amount of funds for vertical projects that he has ever presided over, and the research period of the highest level vertical project that he has ever presided over from the database of vertical project application school counseling experts, and obtains the project application counseling ability index of each vertical project application school counseling expert for the project of the recommended applicant; wherein:

[0113] The total number of on-campus counseling experts in the on-campus counseling expert database for vertical project applications is marked as X, and the highest level of vertical projects that the on-campus counseling expert who applied for vertical project applications has ever presided over is marked as N. x , 1≤x≤X, the highest amount of funding for the project that the on-campus tutoring expert has ever presided over for the x-th vertical project application is marked as M x , the xth vertical project application, the school counseling expert has presided over the highest level of vertical project research period of D days x , the longitudinal project application tutoring ability index of the x-th longitudinal project application on-campus tutoring expert is marked as Ψ x :

[0114]

[0115] Step S4, the scientific research project management system obtains the application guidance matching coefficient between the project application guidance ability index of the on-campus guidance experts for each vertical project application and the project application guidance difficulty index of the applicant to be recommended; wherein the application guidance matching coefficient between the on-campus guidance experts for the x-th vertical project application and the project of the applicant to be recommended is marked as δ x :

[0116]

[0117] Step S5, the scientific research project management system presets the application guidance matching coefficient threshold, and obtains the application guidance matching difference between the application guidance matching coefficient corresponding to the on-campus guidance expert of each vertical project application and the preset application guidance matching coefficient threshold; wherein the preset application guidance matching coefficient threshold is marked as δ0, and the application guidance matching coefficient δ corresponding to the on-campus guidance expert of the x-th vertical project application is x The difference between the preset declaration guidance matching coefficient threshold δ0 and the declaration guidance matching coefficient threshold δ0 is marked as Δδ x :

[0118] Δδ x =|δ x -δ0|;

[0119] For example, in this embodiment, the preset declaration guidance matching coefficient threshold δ0=0.01;

[0120] Step S6, the scientific research project management system obtains the application and guidance matching difference with the minimum difference from the preset target difference according to each application and guidance matching difference obtained, takes the application and guidance matching difference corresponding to the application and guidance matching difference with the minimum difference as the preferred application and guidance matching difference, and searches for the longitudinal project application on-campus guidance expert corresponding to the preferred application and guidance matching difference; wherein:

[0121] In step S6, when the number of on-campus tutoring experts for vertical project applications corresponding to the preferred application tutoring matching difference is found to be at least two, the scientific research project management system will use all the currently found on-campus tutoring experts for vertical project applications as the screened on-campus tutoring experts for vertical project applications that match the applicant to be recommended; of course, or as needed, in step S6, when the number of on-campus tutoring experts for vertical project applications corresponding to the preferred application tutoring matching difference is found to be at least two, the scientific research project management system will use the on-campus tutoring experts for vertical project applications among all the currently found on-campus tutoring experts for vertical project applications that have exactly the same major as the applicant to be recommended as the screened on-campus tutoring experts for vertical project applications that match the applicant to be recommended.

[0122] Step S7, the scientific research project management system uses the found on-campus tutoring expert for the vertical project application as the screened on-campus tutoring expert for the vertical project application that matches the applicant to be recommended;

[0123] Step 14, the scientific research project management system forwards the latest project application notification and the corresponding information of the longitudinal project application guidance and recommendation expert to the contact email of the applicant to be recommended in the form of an email, and repeatedly sends the latest project application notification and the remaining days to the project application deadline to the contact email of the applicant to be recommended according to the preset frequency before the project application deadline of the latest project application notification, so as to remind the applicant to be recommended not to forget the application work of the longitudinal project that meets the conditions due to busy work. The preset frequency here can be set to 24 hours;

[0124] Step 15, the scientific research project management system receives and registers the latest vertical project information of each scientific researcher in the school; wherein the latest vertical project information includes the name of the project, the project issuing unit information, the project application unit information, the project applicant information, the project leader information, the project team member information, the project level, the total amount of project funding, the project research period, the project start date, the project mid-term inspection date and the project completion inspection date;

[0125] Step 16, the scientific research project management system establishes a data connection with the financial system of the university, and when the financial system of the university confirms receipt of the funds for any vertical scientific research project, the financial system of the university sends a notification message of the receipt of the funds for any vertical scientific research project to the scientific research project management system;

[0126] Step 17, the scientific research project management system sends the notification information of the arrival of the funds of any vertical scientific research project sent by the university financial system to the email address of the project leader of the scientific research project, and the scientific research project management system starts the progress information tracking for any vertical scientific research project, and after receiving and storing the expenditure budget plan submitted by the project leader of any vertical scientific research project, sends the expenditure budget plan corresponding to any vertical scientific research project to the university financial system for archiving and backup;

[0127] Step 18, the scientific research project management system registers and files the scientific research results in progress under the name of any vertical scientific research project for which funds have been received, and sends the registered scientific research results information to the financial system of the university to check the expenditure of funds;

[0128] Step 19: The university financial system verifies the expenditure based on the registered research results information:

[0129] When the university financial system determines that there is a fund expenditure corresponding to the scientific research achievement and the fund expenditure does not exceed the fund expenditure budget plan listed in the scientific research project to which the scientific research achievement belongs, the university financial system sends feedback information that the fund expenditure of the scientific research achievement is verified to be correct to the scientific research project management system to ensure that the expenditure of the project funds is compliant, and then proceeds to step 20; otherwise, the university financial system sends feedback prompt information that the fund expenditure of the scientific research achievement is abnormal to the scientific research project management system, and the scientific research project management system marks the abnormal fund expenditure as abnormal to facilitate the needs of the subsequent project fund audit work;

[0130] Step 20, the scientific research project management system sends a time node reminder to the contact email address of the person in charge of any vertical scientific research project; wherein, the scientific research project management system sends a vertical project time node reminder notification information to the contact email address of the project person in charge of any vertical scientific research project two months before the mid-term inspection date and the project final inspection date corresponding to any vertical scientific research project; the vertical project time node reminder notification information here includes the mid-term inspection date, the list of materials required for the mid-term inspection, the project final inspection date, and the list of materials required for the project final inspection;

[0131] Step 21, the scientific research project management system forms a list of longitudinal scientific research projects within one month of the project completion date, receives electronic project completion materials sent for each longitudinal scientific research project, and forms a database of longitudinal scientific research projects to be completed; wherein the database of longitudinal scientific research projects to be completed here includes a plurality of folders of longitudinal scientific research projects to be completed named after the longitudinal scientific research projects to be completed, and the folders of longitudinal scientific research projects to be completed contain the submitted completion materials corresponding to the longitudinal scientific research projects to be completed;

[0132] Step 22, the scientific research project management system registers the conclusion of each longitudinal scientific research project to be concluded according to the conclusion of the expert review committee on whether to recommend the conclusion of each longitudinal scientific research project to be concluded, and classifies the longitudinal scientific research projects to be concluded that have obtained the conclusion into the longitudinal scientific research project sub-database under the name of the corresponding on-campus scientific researcher, and then uses the longitudinal scientific research project sub-database under the name of the current on-campus scientific researcher as the latest longitudinal scientific research project sub-database corresponding to the on-campus scientific researcher;

[0133] Step 23, when the scientific research project management system receives a request for predicting the success rate of longitudinal project applications sent to any on-campus scientific researcher, the scientific research project management system extracts the scientific research ability and quality weight factor of the any on-campus scientific researcher, and inputs the extracted scientific research ability and quality weight factor of the scientific researcher into the longitudinal project application success rate prediction model to obtain the longitudinal project application success rate of the any on-campus scientific researcher.

[0134] Taking into account the personnel turnover of scientific researchers in colleges and universities, in order to timely update the on-campus tutoring expert database for vertical project applications of the college and university, the scientific research project management system in this embodiment can receive the resigned and retired personnel information sent by the personnel management system of the college and university according to the first preset access frequency, and delete the resigned and retired personnel who are on-campus tutoring experts for vertical project applications from the on-campus tutoring expert database for vertical project applications. For example, the first preset access frequency here is 365 days.

[0135] In addition, in response to the new recruitment of personnel into the university, the scientific research project management system can also simultaneously receive the information of newly recruited personnel sent by the personnel management system of the university at the second preset access frequency, and select the newly recruited personnel who meet the requirements for on-campus tutoring experts for vertical project applications as alternative on-campus tutoring experts for vertical project applications, and add the alternative on-campus tutoring experts for vertical project applications to the original database of on-campus tutoring experts for vertical project applications; the second preset access frequency here is also set to 365 days.

[0136] In order to achieve data sharing with the personnel department of the university and improve the efficiency of the personnel department's performance management of scientific researchers, the scientific research project management system 11 of this embodiment will also count the latest scientific research achievements of each on-campus scientific researcher in the basic information database of on-campus scientific researchers in the past year and the vertical scientific research projects they are currently hosting, and obtain the annual scientific research workload data of each on-campus scientific researcher; then, the scientific research project management system 11 sends the annual scientific research workload data of each on-campus scientific researcher to the personnel management system 12 of the university for performance work processing.

[0137] In order to meet the scientific research cooperation between universities and enterprises, improve the efficiency of the transfer of authorized patents of universities, make the patents of universities "live", and promote the transfer of intellectual property results, the scientific research project management system of this embodiment will also perform automatic matching and recommendation operations for patent transfers based on the registered valid authorized patents and the registered cooperative enterprise information. Specifically, the scientific research project management system implements the automatic matching and recommendation operations for patent transfers in the following steps a1 to a5:

[0138] Step a1, the scientific research project management system classifies and registers the information of enterprises cooperating with the university according to industry subcategories to form a cooperative enterprise information database; wherein the cooperative enterprise information database at least includes the enterprise name, enterprise business scope, enterprise contact email address and the industry subcategories to which the enterprise belongs; the industry subcategories here are implemented in accordance with the National Economic Industry Classification (GB / T 4754-2011) standard issued by the National Bureau of Statistics;

[0139] Step a2: The scientific research project management system obtains the international patent classification number corresponding to each industry subclass number according to the "Reference Relationship Table of International Patent Classification and National Economic Industry Classification (2018)" compiled by the State Intellectual Property Office and the industry subclass number of each cooperative enterprise, and forms a list of international patent classification numbers involved in each cooperative enterprise;

[0140] Step a3, the scientific research project management system performs statistical processing on the non-confidential authorized patent results in the on-campus scientific research personnel results database of the university, obtains the inventor information, patent number and the international patent classification number corresponding to each authorized patent, and forms a transferable authorized patent information database belonging to the university;

[0141] Step a4, the scientific research project management system obtains a list of transferable authorized patent numbers matching each cooperative enterprise based on the formed list of international patent classification numbers involved in each cooperative enterprise and the above-mentioned transferable authorized patent information database;

[0142] Step a5, the scientific research project management system sends the authorized patent number that is in the list of transferable authorized patent numbers and matches the cooperative enterprise to the corporate contact email address of the cooperative enterprise based on the manual control of the scientific research project manager.

[0143] Considering the fact that universities also undertake horizontal projects and that horizontal projects often involve intellectual property ownership issues, the university scientific research project data management method of this embodiment also includes an operation in which the scientific research project management system processes the intellectual property ownership of horizontal projects. Specifically, the scientific research project management system processes the intellectual property ownership of horizontal projects according to the following steps b1 to b7:

[0144] Step b1, the scientific research project management personnel of the scientific research department installs a horizontal project management client connected to the scientific research project management system on the office computer of the school leader of the horizontal project;

[0145] Step b2, the scientific research project management system sends a request instruction for submitting an electronic version of the technical development contract and a budget list of the horizontal project to the horizontal project management client at the school person in charge of the horizontal project;

[0146] Step b3, the school leader of the horizontal project uses the horizontal project management client to send the electronic version of the technology development contract and the budget list to the scientific research project management system;

[0147] Step b4, the scientific research project management system performs keyword recognition on the electronic version of the technology development contract to identify the intellectual property clauses in the technology development contract:

[0148] When the scientific research project management system identifies the existence of intellectual property clauses in the technology development contract, the scientific research project management system marks the intellectual property clauses at the corresponding position in the electronic version of the technology development contract, and sends the marked electronic version of the technology development contract to the management system of the university's legal department;

[0149] When the scientific research project management system fails to identify the existence of intellectual property clauses in the technology development contract, the scientific research project management system automatically sends instruction information for supplementing the intellectual property clauses to the horizontal project management client, requiring the school leader of the horizontal project to supplement the intellectual property clauses for the technology development contract, and send the supplemented electronic version of the technology development contract to the scientific research project management system again for knowledge product clause identification;

[0150] Step b5: The university legal affairs management personnel conduct a legal review of the electronic version of the technology development contract with the intellectual property clauses marked through the university legal department management system, and feed back the legal review results to the scientific research project management system;

[0151] Step b6: The project management system of the Research Department summarizes and judges the legal review results:

[0152] When the electronic version of the technology development contract passes the legal review, the scientific research project management system sends the electronic version of the technology development contract to the university seal management system for electronic signature; otherwise, the scientific research project management system sends feedback information on the modification of the intellectual property terms to the horizontal project management client of the school person in charge of the horizontal project, requiring it to send the revised electronic version of the technology development contract to the scientific research project management system again, and go to step b4; the electronic signature here is registered with the public security department and has the same legal effect as the physical seal;

[0153] Step b7, the scientific research project management system obtains the electronic version of the technology development contract stamped by both parties of the project entrusting party and sent by the school leader of the horizontal project through its horizontal project management client, and retains the electronic version of the technology development contract. At the same time, the scientific research department of the university archives the paper version of the technology development contract sent by the school leader of the horizontal project.

[0154] Although the preferred embodiments of the present invention are described in detail above, it should be clearly understood that various modifications and variations are possible for those skilled in the art. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for managing university scientific research project data, characterized in that: The steps include: Step 1, using the scientific research project management system to establish an information database of on-campus scientific researchers and a database of on-campus tutoring experts for longitudinal project applications; wherein the information database of on-campus scientific researchers includes a basic information database of on-campus scientific researchers, a scientific research results database of on-campus scientific researchers, and a longitudinal scientific research project database of on-campus scientific researchers; The basic information database of on-campus researchers includes the name, age, highest degree, professional title, major, university, contact number and email address of the on-campus researchers; The research achievement database of the on-campus researchers includes the names of the on-campus researchers and the research achievements corresponding to the names of the on-campus researchers. The research achievements include publicly published journal articles, authorized patents, published works related to their majors, and various awards related to their majors won by the on-campus researchers; The longitudinal research project database of the on-campus researchers includes the names of the on-campus researchers and the longitudinal research project sub-databases corresponding to the names of the on-campus researchers. The longitudinal research project sub-databases include longitudinal research projects that have been hosted, longitudinal research projects that are being hosted, longitudinal research projects that have been participated in, and longitudinal research projects that are being participated in; The database of on-campus tutoring experts for vertical project applications includes the name, age, highest degree, professional title, major, university of graduation, contact number, contact email, the highest level of vertical projects they have ever presided over, the highest amount of funding for vertical projects they have ever presided over, the research period of the highest level vertical project they have ever presided over, and the level of vertical projects they are best at tutoring. The level of vertical projects is a national project, a provincial or ministerial project, or a municipal or departmental project. Step 2: Use the scientific research project management system to extract the scientific research ability quality parameter sets of each on-campus scientific researcher and the longitudinal project application success rate values ​​of each on-campus scientific researcher when applying for longitudinal projects in the past, and uniformly assign corresponding weight factors to the scientific research ability quality in each scientific research ability quality parameter set, so as to form a scientific research ability quality weight factor database for scientific researchers that includes the scientific research ability quality weight factors of all scientific researchers in the school; Among them, the set of scientific research ability and quality parameters of on-campus researchers includes the researcher's age group, highest academic degree, professional title, the highest academic degree and graduation level of the university, the total number of vertical projects he has presided over, the highest level of vertical projects he has presided over, and the proportion of successfully completed projects. The proportion of successfully completed projects is the proportion of the total number of successfully completed vertical projects to the vertical projects he has presided over. The weight factor for the age group of researchers is denoted as ψ Age , the weight factor for the highest academic degree of scientific researchers is marked as ψ Education , the weight factor for the researcher's title is denoted as ψ Professional , the weight factor for the highest academic degree of the scientific researcher is marked as ψ Institution The weight factor for the total number of longitudinal projects that researchers have hosted is denoted by ψ Project , the highest level weight factor for the longitudinal project that the researcher has hosted is marked as ψ Project_grade The weight factor for the proportion of successful project completion of researchers is denoted as ψ Project_end ; The values ​​of each scientific research capability and quality in each scientific research capability and quality parameter set are respectively assigned as follows: Among them, α1∈(0,1), α2∈(0,1), α3∈(0,1), α4∈(0,1), α5∈(0,1), α6∈(0,1); Step 3, the scientific research project management system adds the vertical project application success rate value of each scientific researcher to the scientific research ability quality weight factor database of the scientific researcher to form an updated scientific research ability quality weight factor database of the scientific researcher; wherein, in the updated scientific research ability quality weight factor database of the scientific researcher, the vertical project application success rate of the scientific researcher corresponds one by one to the scientific research ability quality weight factor data of the scientific researcher; Step 4, the scientific research project management system divides the updated scientific research personnel scientific research ability quality weight factor database into three sub-databases according to the number of scientific researchers, and uses the three sub-databases as a fitting sub-database, a verification sub-database and a test sub-database respectively; wherein the ratio of the number of scientific researchers in the fitting sub-database, the verification sub-database and the test sub-database is 5:3:2; Step 5, the scientific research project management system uses the data of each scientific research ability quality weight factor in the fitting sub-database to respectively fit the relationship between the longitudinal project application success rate of the scientific researcher and the scientific research ability quality weight factor of the scientific researcher, and obtains multiple fitting relationship models; Step 6, the scientific research project management system uses the scientific research ability quality weight factor data in the verification sub-database to verify and adjust each obtained fitting relationship model, and selects the fitting relationship model with a fitting degree of 100% as the test relationship model; Step 7, the scientific research project management system inputs the scientific research ability quality weight factor data in the test sub-database into the test relationship model, and when the longitudinal project application success rate output by the test relationship model is consistent with the longitudinal project application success rate of the scientific researcher in the test sub-database, the test relationship model is used as the longitudinal project application success rate prediction model and the process goes to step 8; otherwise, the process goes to step 6; Step 8, the scientific research project management system establishes a vertical project establishment database undertaken by the university; wherein the vertical project establishment database at least includes the name of the project, information of the project issuing unit, information of the project application unit, information of the project applicant, information of the project leader, information of the project team members, the level of the project, the total amount of project funding, the project research period, the project start date, the project mid-term inspection date and the project completion inspection date; Step 9, the scientific research project management system establishes a communication connection with the vertical project issuing units at all levels; wherein the vertical project issuing unit is at least one of the Ministry of Science and Technology, the Provincial Department of Science and Technology, the Municipal Science and Technology Bureau, the Ministry of Education, the Provincial Department of Education and the Municipal Education Bureau; Step 10, the scientific research project management system obtains the latest project application notice from the vertical project issuing units at all levels, extracts the project application guide content information and the attachments of the latest project application notice; Step 11, the scientific research project management system obtains the project application notification key information data list in the project application guide content information in accordance with the preset project application notification key information list; wherein the preset project application notification key information list includes the project application unit condition information, project applicant condition information, project application topic range information, project level, project corresponding funding, project research period, project application start date, project application deadline and the corresponding consulting contact information of the project application notification issuing unit; Step 12, when the scientific research project management system determines that its own university conditions meet the project application unit condition information of the latest project application notice, it proceeds to step 13; otherwise, the scientific research project management system temporarily stores the latest project application notice in the local storage; Step 13, the scientific research project management system uses the items in the key information data list of the project application notification as the comparison standard, and compares and judges them with the information in the basic information database of the on-campus scientific researchers of the university: When there is a scientific researcher whose basic information fully meets the project applicant condition information in the key information data list of the project application notification in the basic information database of the on-campus scientific researchers, the scientific research project management system will mark the scientific researcher as a candidate for recommendation who matches the latest project application notification, and screen out the information of the on-campus counseling experts for vertical project application that matches the candidate for recommendation in the on-campus counseling experts database for vertical project application, and use the screened on-campus counseling experts for vertical project application as the recommended counseling experts for vertical project application, and then proceed to step 14; otherwise, the scientific research project management system will forward the latest project application notification in the form of a notification on the official website of the scientific research department of its campus; Step 14, the scientific research project management system forwards the latest project application notice and the corresponding information of the vertical project application guidance and recommendation expert to the contact email address of the recommended applicant in the form of an email, and repeatedly sends the latest project application notice and the remaining days to the project application deadline to the contact email address of the recommended applicant at a preset frequency before the project application deadline of the latest project application notice; Step 15, the scientific research project management system receives and registers the latest project information of each scientific researcher in the school; wherein the latest project information includes the name of the project, the project issuing unit information, the project application unit information, the project applicant information, the project leader information, the project team member information, the project level, the total amount of project funding, the project research period, the project start date, the project mid-term inspection date and the project completion inspection date; Step 16, the scientific research project management system establishes a data connection with the university financial system, and when the university financial system confirms receipt of the funds for any vertical scientific research project, the university financial system sends a notification message of the receipt of the funds for any vertical scientific research project to the scientific research project management system; Step 17, the scientific research project management system sends the notification information of the arrival of the funds of any vertical scientific research project sent by the university financial system to the email address of the project leader of the scientific research project, and the scientific research project management system starts the progress information tracking for any vertical scientific research project, and after receiving and storing the expenditure budget plan submitted by the project leader of any vertical scientific research project, sends the expenditure budget plan corresponding to any vertical scientific research project to the university financial system for archiving and backup; Step 18, the scientific research project management system registers and files the scientific research results in progress under the name of any vertical scientific research project for which funds have been received, and sends the registered scientific research results information to the financial system of the university to check the expenditure of funds; Step 19: The university financial system verifies the expenditure based on the registered research results information: When the university financial system determines that there is a fund expenditure corresponding to the scientific research achievement and the fund expenditure does not exceed the fund expenditure budget plan listed in the scientific research project to which the scientific research achievement belongs, the university financial system sends feedback information that the fund expenditure of the scientific research achievement is verified to be correct to the scientific research project management system, and proceeds to step 20; otherwise, the university financial system sends feedback prompt information that the fund expenditure of the scientific research achievement is abnormal to the scientific research project management system, and the scientific research project management system marks the abnormal scientific research achievement information as an abnormal fund expenditure; Step 20, the scientific research project management system sends a time node reminder to the contact email address of the project leader of any longitudinal scientific research project; wherein, the scientific research project management system sends longitudinal project time node reminder notification information to the contact email address of the project leader of any longitudinal scientific research project two months before the project mid-term inspection date and project final inspection date corresponding to any longitudinal scientific research project; the longitudinal project time node reminder notification information includes the project mid-term inspection date, the list of materials required for the project mid-term inspection, the project final inspection date, and the list of materials required for the project final inspection; Step 21, the scientific research project management system forms a list of longitudinal scientific research projects within one month of the project completion date, receives electronic project completion materials sent for each longitudinal scientific research project, and forms a database of longitudinal scientific research projects to be completed; wherein the database of longitudinal scientific research projects to be completed includes a plurality of folders of longitudinal scientific research projects to be completed named after the longitudinal scientific research projects to be completed, and the folders of longitudinal scientific research projects to be completed contain the submitted completion materials corresponding to the longitudinal scientific research projects to be completed; Step 22, the scientific research project management system registers the conclusion of each longitudinal scientific research project to be concluded according to the conclusion of the expert review committee on whether to recommend the conclusion of each longitudinal scientific research project to be concluded, and classifies the longitudinal scientific research projects to be concluded that have obtained the conclusion into the longitudinal scientific research project sub-database under the name of the corresponding on-campus scientific researcher, and then uses the longitudinal scientific research project sub-database under the name of the current on-campus scientific researcher as the latest longitudinal scientific research project sub-database corresponding to the on-campus scientific researcher; Step 23, when the scientific research project management system receives a request for predicting the success rate of longitudinal project applications sent to any on-campus scientific researcher, the scientific research project management system extracts the scientific research ability and quality weight factor of the any on-campus scientific researcher, and inputs the extracted scientific research ability and quality weight factor of the scientific researcher into the longitudinal project application success rate prediction model to obtain the longitudinal project application success rate of the any on-campus scientific researcher.

2. The method for managing university scientific research project data according to claim 1, characterized in that: The scientific research project management system selects and obtains the on-campus tutoring experts for vertical project application that match the applicant to be recommended in the following steps S1 to S7: Step S1, the scientific research project management system extracts the project application topic range information, project level, corresponding funding and project research period of the candidate to be recommended; wherein the project level of the candidate to be recommended is marked as N, the national project level N=6, the provincial and ministerial project level N=3, and the municipal and departmental project level N=1; the corresponding funding amount of the project of the candidate to be recommended is marked as M, and the number of days corresponding to the research period of the project of the candidate to be recommended is marked as D; Step S2, the scientific research project management system obtains the project application guidance difficulty index of the candidate to be recommended according to the project level, corresponding funding and project research period of the candidate to be recommended; wherein the project application guidance difficulty index of the candidate to be recommended is marked as Ω: Step S3, the scientific research project management system extracts the highest level of vertical projects ever presided over, the highest amount of funds ever presided over, and the research period of the highest level vertical projects ever presided over by each vertical project application on-campus counseling expert in the vertical project application on-campus counseling expert database, and obtains the project application counseling ability index of each vertical project application on-campus counseling expert for the project of the recommended applicant; wherein the total number of vertical project application on-campus counseling experts in the vertical project application on-campus counseling expert database is marked as X, and the highest level of vertical projects ever presided over by the x-th vertical project application on-campus counseling expert is marked as N x , 1≤x≤X, the highest amount of funding for the project that the on-campus tutoring expert has ever presided over for the x-th vertical project is marked as M x , the xth vertical project application, the school counseling expert has presided over the highest level of vertical project research period of D days x , the longitudinal project application tutoring ability index of the x-th longitudinal project application on-campus tutoring expert is marked as Ψ x : Step S4, the scientific research project management system obtains the application guidance matching coefficient between the projects of the on-campus guidance experts for each vertical project application and the projects of the applicants to be recommended according to the obtained project application guidance ability index of the on-campus guidance experts for each vertical project application and the project application guidance difficulty index of the applicants to be recommended; wherein the application guidance matching coefficient between the on-campus guidance experts for the x-th vertical project application and the projects of the applicants to be recommended is marked as δ x : Step S5, the scientific research project management system presets a threshold value for the application guidance matching coefficient, and obtains the application guidance matching difference between the application guidance matching coefficient corresponding to the on-campus guidance expert for each longitudinal project application and the preset application guidance matching coefficient threshold value; wherein the preset application guidance matching coefficient threshold value is marked as δ0, and the application guidance matching coefficient δ corresponding to the on-campus guidance expert for the x-th longitudinal project application is x The difference between the preset declaration guidance matching coefficient threshold δ0 and the declaration guidance matching coefficient threshold δ0 is marked as △δ x : △δ x =|δ x -δ0|; Step S6, the scientific research project management system obtains the application and guidance matching difference with the minimum difference from the preset target difference according to each application and guidance matching difference obtained, and uses the application and guidance matching difference corresponding to the application and guidance matching difference with the minimum difference as the preferred application and guidance matching difference, and searches for the longitudinal project application on-campus guidance expert corresponding to the preferred application and guidance matching difference; Step S7, the scientific research project management system uses the found on-campus tutoring expert for the vertical project application as the screened on-campus tutoring expert for the vertical project application that matches the applicant to be recommended.

3. The method for managing university scientific research project data according to claim 2, characterized in that: In step S6, when the number of on-campus tutoring experts for longitudinal project applications corresponding to the preferred application tutoring matching difference is found to be at least two, the scientific research project management system will use all the currently found on-campus tutoring experts for longitudinal project applications as the screened on-campus tutoring experts for longitudinal project applications that match the applicant to be recommended.

4. The method for managing university scientific research project data according to claim 2, characterized in that: In step S6, when the number of on-campus tutoring experts for vertical project application corresponding to the preferred application tutoring matching difference is found to be at least two, the scientific research project management system will search for all current on-campus tutoring experts for vertical project application whose major is exactly the same as that of the applicant to be recommended as the screened on-campus tutoring experts for vertical project application that match the applicant to be recommended.

5. The method for managing university scientific research project data according to claim 2, characterized in that: Also includes: The scientific research project management system receives information on resigned and retired personnel sent by the personnel management system of the university at a first preset access frequency, and deletes resigned and retired personnel who are applied for on-campus tutoring experts for vertical projects from the database of on-campus tutoring experts for vertical project applications.

6. The method for managing university scientific research project data according to claim 5, characterized in that: Also includes: The scientific research project management system receives the information of newly introduced personnel sent by the personnel management system of the university according to the second preset access frequency, and uses the newly introduced personnel who meet the requirements of on-campus tutoring experts for vertical project applications as alternative on-campus tutoring experts for vertical project applications, and adds the alternative on-campus tutoring experts for vertical project applications to the original database of on-campus tutoring experts for vertical project applications; wherein the first preset access frequency is equal to the second preset access frequency.

7. The method for managing university scientific research project data according to claim 6, characterized in that: The first preset access frequency and the second preset access frequency are both 365 days.

8. The method for managing university scientific research project data according to claim 7, characterized in that: The preset frequency in step 14 is 24 hours.

9. The method for managing university scientific research project data according to claim 8, characterized in that: The preset declaration guidance matching coefficient threshold δ0=0.

01.

10. The method for managing university scientific research project data according to claim 9, characterized in that: Also includes: The scientific research project management system counts the latest scientific research achievements and the longitudinal scientific research projects being hosted by each on-campus scientific researcher in the basic information database of the on-campus scientific researchers in the past year, and obtains the annual scientific research workload data of each on-campus scientific researcher; The scientific research project management system sends the annual scientific research workload data of each on-campus scientific researcher to the personnel management system of the university for performance work processing.

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