Scientific and technological achievement data management method for industry-university-research conversion

Abstract

The invention relates to a scientific and technological achievement data management method for industry-university-research conversion, and relates to the technical field of data management, and the method comprises the steps: carrying out the distribution and fuzzy compensation of three-party contribution coefficients according to the manpower information and material information of a plurality of same-family projects in combination with the planning manpower information and planning material information of a target project, obtaining first, second and third contribution coefficient intervals; according to the project progress coefficient, a real-time first contribution coefficient, a real-time second contribution coefficient and a real-time third contribution coefficient are obtained through calculation in the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, and the first data authority, the second data authority and the third data authority are configured for management. According to the invention, the technical problem that the traditional management method cannot set the matched data access authority according to the actual investment of each party in the three parties of industry, university and research, so that the data management accuracy and flexibility are insufficient can be solved; the three parties of industry, university and research can be ensured to obtain corresponding permissions according to the actual contributions, and the efficiency, flexibility and accuracy of data management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to a method for managing scientific and technological achievement data for industry-university-research transformation. Background Art

[0002] In industry-university-research cooperation projects, enterprises, scientific research institutions and universities each play their unique advantages to jointly promote the transformation of scientific and technological achievements. However, due to the different investments of each party in terms of funds, manpower, equipment, patents, etc., how to scientifically and fairly manage the access rights to scientific and technological achievement data has always been an important technical challenge.

[0003] Traditional data management methods usually adopt a fixed permission allocation model, that is, when the cooperation agreement is signed, the access rights of each party are preset and remain unchanged throughout the project cycle. This method often relies on human subjective judgment or simple investment ratio calculation, and does not fully consider the comprehensive influence of the parties in terms of human, material, and technical contributions, resulting in unreasonable allocation of data access rights; at the same time, during the implementation of the project, the resource input of each party may change dynamically, but the fixed permission management method is difficult to adjust according to the real-time contribution situation, resulting in some parties having too high or too low permissions, affecting the flexibility and fairness of data sharing. Summary of the invention

[0004] The present invention aims to solve the technical problems that traditional data management methods cannot set matching data access rights according to the actual input of each party among the three parties of industry, academia and research, and have insufficient data management accuracy and flexibility. A scientific and technological achievement data management method for industry-university-research transformation is provided to solve the problem.

[0005] The technical solution of the present invention to solve the above-mentioned technical problems is as follows: The present invention provides a method for managing scientific and technological achievement data for industry-university-research transformation, including: collecting project characteristic information of the target project of industry-university-research transformation, and retrieving multiple similar projects in the achievement information management system according to the project characteristic information; performing contribution coefficient allocation and fuzzy compensation among the three parties of industry-university-research according to the human information and material information in the transformation process of the multiple similar projects, combined with the planned human information and planned material information of the target project, to obtain a first contribution coefficient interval, a second contribution coefficient interval and a third contribution coefficient interval; collecting real-time achievement data of the target project, updating and storing it in the achievement information management system, and obtaining a project progress coefficient; according to the project progress coefficient, calculating the real-time first contribution coefficient, the real-time second contribution coefficient and the real-time third contribution coefficient in the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, and configuring the first data authority, the second data authority and the third data authority to perform achievement data authority management.

[0006] Preferably, the scientific and technological achievement data management method for industry-university-research transformation also includes: collecting project characteristic information of target projects of industry-university-research transformation, wherein the project characteristic information includes project field, project scale and project level; and retrieving multiple projects with the same project characteristic information in the achievement information management system according to the project characteristic information as multiple similar projects.

[0007] Preferably, the method for managing scientific and technological achievement data for industry-university-research transformation also includes: obtaining human resource information and material information in the transformation process of the multiple similar projects, obtaining multiple similar human resource information and multiple similar material information, wherein the human resource information includes the sum of the educational levels of all staff members in the project, and the material information includes the sum of the value data of all materials in the project; obtaining the planned human resource information and planned material information of the target project; calculating the ratio of the planned human resource information to the average value of the multiple similar human resource information as the human resource coefficient, and calculating the ratio of the planned material information to the average value of the multiple similar material information as the material coefficient; obtaining the first planned human resource ratio and the first planned material ratio of the three parties of industry-university-research in the target project ratio, the second planned manpower ratio, the second planned material ratio, the third planned manpower ratio, and the third planned material ratio; according to the manpower coefficient and the material coefficient, respectively weighted calculation and allocation are performed on the first planned manpower ratio, the first planned material ratio, the second planned manpower ratio, the second planned material ratio, the third planned manpower ratio, and the third planned material ratio to obtain the first contribution coefficient, the second contribution coefficient, and the third contribution coefficient; according to the multiple same-family manpower information and the multiple same-family material information, fuzzy analysis is performed to obtain the manpower fuzzy coefficient and the material fuzzy coefficient, the first contribution coefficient, the second contribution coefficient, and the third contribution coefficient are compensated to obtain the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval.

[0008] Preferably, the method for managing scientific and technological achievement data for industry-university-research transformation further comprises: calculating a human fuzzy coefficient based on the multiple human resources information of the same family, as shown in the following formula: Among them, K P is the manpower fuzzy coefficient, P max and P min is the maximum and minimum value of multiple same-family human resources information; and the material fuzzy coefficient is calculated based on the multiple same-family material information.

[0009] Preferably, the scientific and technological achievement data management method for industry-university-research cooperation transformation further includes: calculating the average value of the human fuzzy coefficient and the material fuzzy coefficient to obtain a total fuzzy coefficient as a compensation coefficient; using the compensation coefficient to perform positive compensation calculation and negative compensation calculation on the first contribution coefficient, the second contribution coefficient, and the third contribution coefficient to obtain a first contribution coefficient interval, a second contribution coefficient interval, and a third contribution coefficient interval.

[0010] Preferably, the scientific and technological achievement data management method for industry-university-research cooperation transformation further includes: collecting real-time achievement data of the target project, obtaining the real-time time, and updating and storing the real-time achievement data into the achievement information management system; obtaining the planned time of the target project, and calculating a project progress coefficient in combination with the real-time time.

[0011] Preferably, the scientific and technological achievement data management method for industry-university-research cooperation transformation further includes: obtaining the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval; multiplying the project progress coefficient by the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval respectively, and adding the minimum endpoint values of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval to obtain a basic first contribution coefficient, a basic second contribution coefficient, and a basic third contribution coefficient; performing real-time contribution distribution on the basic first contribution coefficient, the basic second contribution coefficient, and the basic third contribution coefficient to obtain a real-time first contribution coefficient, a real-time second contribution coefficient, and a real-time third contribution coefficient.

[0012] Preferably, the scientific and technological achievement data management method for industry-university-research cooperation transformation further includes: obtaining multiple data permission levels of the achievement data, and configuring multiple contribution coefficient thresholds; respectively determining the maximum contribution coefficient thresholds satisfied by the real-time first contribution coefficient, the real-time second contribution coefficient, and the real-time third contribution coefficient, and configuring the corresponding data permission levels as the first data permission, the second data permission, and the third data permission to perform achievement data permission management.

[0013] The beneficial effects of the present invention are as follows: by collecting the project characteristic information of the target project of the industry-university-research transformation, a plurality of similar projects are retrieved in the achievement information management system according to the project characteristic information; then, according to the human information and material information in the transformation process of the plurality of similar projects, combined with the planned human information and planned material information of the target project, the contribution coefficients of the three parties of industry-university-research are allocated and fuzzy compensation is performed to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval; further, the real-time achievement data of the target project is collected, updated and stored in the achievement information management system, and the project progress coefficient is obtained; finally, according to the project progress coefficient, the real-time first contribution coefficient, the real-time second contribution coefficient and the real-time third contribution coefficient are calculated in the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, and the first data authority, the second data authority and the third data authority are configured to perform achievement data authority management. That is to say, by calculating the contribution coefficients of all parties and configuring data access rights, it can be ensured that the three parties of industry-university-research obtain corresponding permissions according to their actual contributions, and the efficiency, fairness and accuracy of data management can be improved; at the same time, by adjusting the data access rights in real time, it can be more flexible to respond to changes in project progress, ensure the reasonable allocation of resources and data, and protect the interests of all parties. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 A flow chart of the scientific and technological achievement data management method for industry-university-research transformation provided by the present invention;

[0015] Figure 2 A schematic diagram of a flow chart for obtaining a first contribution coefficient interval, a second contribution coefficient interval and a third contribution coefficient interval in the scientific and technological achievement data management method for industry-university-research transformation provided by the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0017] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0018] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0019] Examples, such as Figure 1 As shown, the embodiment of the present invention provides a method for managing scientific and technological achievement data for industry-university-research transformation, which specifically includes the following steps:

[0020] S10: Collect project characteristic information of the target project of industry-university-research transformation, and retrieve multiple similar projects in the achievement information management system based on the project characteristic information.

[0021] Furthermore, step S10 of the present invention further includes:

[0022] S11: Collecting project characteristic information of target projects for industry-university-research transformation, wherein the project characteristic information includes project field, project scale and project level; S12: Retrieving multiple projects with the same project characteristic information in the achievement information management system according to the project characteristic information, as multiple same-family projects.

[0023] Specifically, first, the project characteristic information of the target projects for industry-university-research transformation is collected, where the project characteristic information includes project field, project scale and project level. The project field refers to the technology or industry category to which the scientific and technological achievements belong, and is closely related to its research direction and application scenarios, such as biomedicine, artificial intelligence, new materials, intelligent manufacturing, information security and other fields; the project scale is a measure of the overall investment and impact of the project, such as funding scale, R&D team size, market expectations, etc., to facilitate subsequent resource allocation and management; the project level refers to the importance of the project. The higher the level, the higher the importance. The project can be classified according to its importance and maturity, such as basic research, technology development, experimental verification, industrial promotion, etc., in order to match appropriate resource investment and management models.

[0024] The achievement information management system is an information platform specifically used for storing, managing, analyzing and distributing scientific and technological achievement data, and is designed to support the data management needs of industry-university-research cooperation projects. Next, using the project feature information as a comparison constraint, information retrieval is performed in the achievement information management system, that is, by comparing the historical project database, the project most similar to the target project is found. For example, the comparison constraint table is shown in Table 1:

[0025] Table 1: Comparison constraint table

[0026] Constraint item Target project example Retrieval strategy Project area Biomedicine Must match exactly Project scale 50 million in funds, 50-person team Allow a ±10% float Project level Test verification phase Must match exactly

[0027] Next, the cosine similarity algorithm is used to calculate the similarity scores between the target project and the projects in the database, and multiple projects with the highest scores are selected as the final same-family projects to obtain multiple same-family projects.

[0028] By retrieving and obtaining multiple similar projects, basic data support is provided for subsequent contribution coefficient calculation, data permission configuration, etc.

[0029] S20: Based on the human resources information and material information in the transformation process of the multiple similar projects, combined with the planned human resources information and planned material information of the target project, the contribution coefficients of the three parties of industry, academia and research are allocated and fuzzy compensation is performed to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval.

[0030] Further, if Figure 2 As shown, step S20 of the present invention further includes:

[0031] S21: Obtain the human resources information and material information during the transformation process of the multiple same-family projects, and obtain multiple same-family human resources information and multiple same-family material information, wherein the human resources information includes the sum of the educational levels of all staff members in the project, and the material information includes the sum of the value data of all materials in the project; S22: Obtain the planned human resources information and planned material information of the target project; S23: Calculate the ratio of the planned human resources information to the average value of the multiple same-family human resources information as the human resources coefficient, and calculate the ratio of the planned material information to the average value of the multiple same-family material information as the material coefficient; S24: Obtain the first planned human resources ratio, the first planned material ratio, the second planned human resources ratio, the second planned material ratio, the third planned human resources ratio, and the third planned material ratio of the three parties of industry, academia, and research in the target project; S25: According to the human resources coefficient and the material coefficient, respectively perform weighted calculation and allocation on the first planned human resources ratio, the first planned material ratio, the second planned human resources ratio, the second planned material ratio, the third planned human resources ratio, and the third planned material ratio to obtain the first contribution coefficient, the second contribution coefficient, and the third contribution coefficient.

[0032] Specifically, first, obtain the human resources information and material resources information during the transformation process of the multiple related projects. Among them, the human resources information refers to the sum of the academic degrees of all the staff within the project, that is, quantify the academic degrees and professional titles of all the personnel participating in the project (such as scientific researchers, engineers, management personnel, etc.) to obtain a total value. For example, according to the project requirements, quantify different academic levels (bachelor's degree, master's degree, doctor's degree, etc.) and professional titles (assistant researcher, associate professor, professor, etc.) according to certain standards, assign a weight to each level, quantify each staff member in the project, and accumulate the academic degree and professional title values of all the staff members to obtain the total human resources value of the project; the material resources information refers to the sum of the value data of all the materials within the project, that is, quantify the values of various materials used in the project (such as experimental equipment, technical tools, raw materials, etc.) and calculate their total value, which can include experimental equipment, scientific research materials, special tools, etc., and each material is evaluated according to its purchase value or current market value. For example, if a project includes equipment A (5 million yuan), equipment B (2 million yuan) and raw material C (0.5 million yuan), then the total material resources value of this project is 7.5 million yuan. Next, obtain the planned human resources information and planned material resources information of the target project. The planned human resources information refers to the sum of the academic degrees of all the planned staff within the project, and the planned material resources information refers to the sum of the value data of all the materials within the project, including experimental equipment, computer equipment, raw materials, technical tools, etc.

[0033] Then, calculate the ratio of the planned human resources information to the average value of the multiple related human resources information to obtain the human resources coefficient. The human resources coefficient can reflect the personnel input of the target project in the planning stage relative to the standard input level of related projects, and is used to quantify the difference between the planned human resources input of the target project in the predetermined stage and historical similar projects; on the other hand, calculate the ratio of the planned material resources information to the average value of the multiple related material resources information to obtain the material resources coefficient. The material resources coefficient can reflect the material input of the target project in the planning stage relative to the standard input level of related projects, and is used to quantify the difference between the planned material input of the target project and historical similar projects. For example, assume that the multiple related material resources information are 7 million yuan, 7.5 million yuan, 8 million yuan, 8.3 million yuan and 7.8 million yuan respectively, and the planned material resources information is 7.6 million yuan, then the material resources coefficient is 7.6 / (7 + 7.5 + 8 + 8.3 + 7.8) which is approximately equal to 0.984.

[0034] Next, obtain the first planned human resources proportion and the first planned material resources proportion of the enterprise among the three parties of industry, university and research in the target project, the second planned human resources proportion and the second planned material resources proportion of the university, and the third planned human resources proportion and the third planned material resources proportion of the research institution, that is, the proportion of the personnel input of each party planned in the target project in the total planned human resources input, and the proportion of the material input of each party in the total planned material resources input.

[0035] Further, according to the manpower coefficient and the material coefficient, the first planned manpower ratio, the first planned material ratio, the second planned manpower ratio, the second planned material ratio, the third planned manpower ratio, and the third planned material ratio are weightedly calculated and allocated, that is, the manpower coefficient and the material coefficient are multiplied by the first planned manpower ratio and the first planned material ratio, respectively, and the sum is obtained to obtain the first contribution coefficient; the manpower coefficient and the material coefficient are multiplied by the second planned manpower ratio and the second planned material ratio, respectively, and the sum is obtained to obtain the second contribution coefficient; the manpower coefficient and the material coefficient are multiplied by the third planned manpower ratio and the third planned material ratio, respectively, and the sum is obtained to obtain the third contribution coefficient, wherein the contribution coefficient table is shown in Table 2:

[0036] Table 2: Contribution coefficient table

[0037]

[0038] By calculating and obtaining the planned human resources and materials ratios of enterprises, universities, and R&D institutions, combined with subsequent weighted calculations, the contribution coefficients of each party in the project can be dynamically adjusted. These coefficients not only help to fairly allocate data access rights, but also flexibly adjust resource allocation according to project progress. The contribution coefficient table can be used to dynamically allocate data access rights. For example, enterprises with higher contribution coefficients may obtain more permissions (such as editing and downloading permissions), while universities and R&D institutions may have relatively lower permissions (such as viewing permissions); based on the contribution coefficient, project resources (such as funding, technical support, data access, etc.) can be allocated more fairly and accurately to ensure that the interests of all parties match their contributions.

[0039] S26: Perform fuzzy analysis based on the multiple same-family human resources information and the multiple same-family material information to obtain human resources fuzzy coefficients and material fuzzy coefficients, compensate the first contribution coefficient, the second contribution coefficient and the third contribution coefficient to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval.

[0040] Further, step S26 of the present invention further includes:

[0041] S261: Calculate the manpower fuzzy coefficient according to the plurality of same-family manpower information, as shown in the following formula: Among them, K P is the manpower fuzzy coefficient, P max and P min is the maximum value and the minimum value in multiple same-family human resources information; S262: according to the multiple same-family material information, calculate and obtain the material fuzzy coefficient.

[0042] Specifically, the human fuzzy coefficient is calculated based on the multiple human information of the same family, that is, the human fuzzy coefficient is the ratio of the difference between the maximum and minimum values in the multiple human information of the same family to the average of the maximum and minimum values. The human fuzzy coefficient is used to measure the discreteness of the human input data, that is, the fuzziness of the difference in human input between projects. For example, assuming that the maximum and minimum values in the multiple human information of the same family are 58 and 75 respectively, the average of the maximum and minimum values is 66.5, and the human fuzzy coefficient is (75-58) / 66.5, which is approximately equal to 0.255. On the other hand, based on the multiple material information of the same family, the ratio of the difference between the maximum and minimum values in the multiple material information of the same family to the average of the maximum and minimum values is set as the material fuzzy coefficient, which is used to measure the discreteness of the material input data and represent the difference in material input between projects.

[0043] Further, step S26 of the present invention further includes:

[0044] S263: Calculate the average of the manpower fuzzy coefficient and the material fuzzy coefficient to obtain the total fuzzy coefficient as the compensation coefficient; S264: Use the compensation coefficient to perform positive compensation calculation and negative compensation calculation on the first contribution coefficient, the second contribution coefficient and the third contribution coefficient to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval.

[0045] Specifically, the manpower fuzzy coefficient and the material fuzzy coefficient are averaged to obtain a total fuzzy coefficient. For example, assuming that the manpower fuzzy coefficient and the material fuzzy coefficient are 0.25 and 0.15 respectively, the total fuzzy coefficient is 0.2, and the total fuzzy coefficient is used as the compensation coefficient.

[0046] Next, the compensation coefficient is used to perform positive compensation calculation on the first contribution coefficient, the second contribution coefficient and the third contribution coefficient, that is, 1 plus the compensation coefficient is used, and the sum of the two is multiplied by the first contribution coefficient, the second contribution coefficient and the third contribution coefficient respectively to obtain the first contribution coefficient upper limit, the second contribution coefficient upper limit and the third contribution coefficient upper limit; the compensation coefficient is used to perform negative compensation calculation on the first contribution coefficient, the second contribution coefficient and the third contribution coefficient, that is, 1 minus the compensation coefficient is used, and the difference between the two is multiplied by the first contribution coefficient, the second contribution coefficient and the third contribution coefficient respectively to obtain the first contribution coefficient lower limit, the second contribution coefficient lower limit and the third contribution coefficient lower limit. Finally, the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval are constructed according to the combination of the first contribution coefficient upper limit, the second contribution coefficient upper limit, the third contribution coefficient upper limit, the first contribution coefficient lower limit, the second contribution coefficient lower limit and the third contribution coefficient lower limit, wherein the contribution coefficient interval table is shown in Table 3:

[0047] Table 3: Contribution coefficient interval table

[0048] Contribution coefficient Original value Positive compensation Negative compensation Contribution coefficient range First contribution coefficient 0.3 0.36 0.24 [0.24,0.36] Second contribution coefficient 0.4 0.48 0.32 [0.32,0.48] Third contribution coefficient 0.5 0.6 0.4 [0.40,0.60]

[0049] Through the above steps, the intervals of each contribution coefficient can be obtained, and these intervals will dynamically adjust the data access rights during the project process to ensure that the rights and interests of all parties are fairly and reasonably distributed.

[0050] S30: Collect the real-time result data of the target project, update and store it in the result information management system, and obtain the project progress coefficient.

[0051] Furthermore, step S30 of the present invention further includes:

[0052] S31: Collect the real-time result data of the target project, obtain the real-time time, and update and store the real-time result data in the result information management system; S32: Obtain the planned time of the target project, and calculate the project progress coefficient in combination with the real-time time.

[0053] Specifically, first, collect the real-time result data of the target project. The real-time result data includes but is not limited to the current progress of the project, the completion degree of each task, the consumption of resources, etc. These data will reflect the current state of the project, and update and store the real-time result data in the result information management system to ensure that the data in the system always reflects the current state of the project; and obtain the real-time time. The real-time time refers to the progress time of the current time point relative to the project planned time. By obtaining the current time and the project planned time, the progress ratio of the project can be calculated.

[0054] Next, obtain the planned time of the target project. The planned time refers to the completion time set at the start of the project. For example, the planned time of the project may be set to 180 days; further subtract the project start time from the real-time time to obtain the project running duration, and set the ratio of the project running duration to the planned time as the project progress coefficient. For example, assuming the project planned time is 180 days and the project running duration is 90 days, then the project progress coefficient is 90 / 180 which is equal to 0.5.

[0055] S40: Calculate the real-time first contribution coefficient, real-time second contribution coefficient, and real-time third contribution coefficient in the first contribution coefficient interval, second contribution coefficient interval, and third contribution coefficient interval according to the project progress coefficient, and configure the first data right, second data right, and third data right to perform the result data right management.

[0056] Furthermore, step S40 of the present invention further includes:

[0057] S41: Obtain the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval; S42: Multiply the project progress coefficient by the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval respectively, and add the minimum endpoint values of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval to obtain the basic first contribution coefficient, the basic second contribution coefficient, and the basic third contribution coefficient; S43: Perform real-time contribution allocation on the basic first contribution coefficient, the basic second contribution coefficient, and the basic third contribution coefficient to obtain the real-time first contribution coefficient, the real-time second contribution coefficient, and the real-time third contribution coefficient.

[0058] Specifically, first, calculate and obtain the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval respectively. Among them, the interval length is the difference between the upper limit of the contribution coefficient and the lower limit of the contribution coefficient within the contribution coefficient interval. For example, assuming the first contribution coefficient interval is [0.24, 0.36], then the first interval length is 0.36 - 0.24 which equals 0.12; calculate the first interval length, the second interval length, and the third interval length in sequence. Then, multiply the project progress coefficient by the first interval length, the second interval length, and the third interval length respectively, and add the minimum endpoint values (the lower limit of the contribution coefficient) of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval to obtain the basic first contribution coefficient, the basic second contribution coefficient, and the basic third contribution coefficient. For example, assuming the first contribution coefficient interval is [0.24, 0.36] and the project progress coefficient is 0.5, then the basic first contribution coefficient is 0.5 * 0.12 + 0.24 which equals 0.3. Among them, the basic contribution coefficient table is shown in Table 4:

[0059] Table 4: Basic Contribution Coefficient Table

[0060]

[0061] Through the above calculations, it is possible to dynamically adjust the contribution coefficients of each participant according to the progress of the project, ensure that the allocation of data access rights is consistent with the actual progress of the project, and further safeguard the interests of all parties.

[0062] Then, real-time contribution allocation is performed on the basic first contribution coefficient, basic second contribution coefficient, and basic third contribution coefficient. First, add the basic first contribution coefficient, basic second contribution coefficient, and basic third contribution coefficient to obtain their total sum. Then, for each basic contribution coefficient, calculate its ratio to the sum of the three to obtain the real-time contribution coefficient of each party. For example, assume that the basic first contribution coefficient, basic second contribution coefficient, and basic third contribution coefficient are 0.3, 0.4, and 0.5 respectively, and the sum of the three is 1.2. Then the real-time first contribution coefficient is 0.3 / 1.2 = 0.25; the real-time second contribution coefficient is 0.4 / 1.2 ≈ 0.33, and the real-time third contribution coefficient is 0.5 / 1.2 ≈ 0.42; thus, the real-time first contribution coefficient, real-time second contribution coefficient, and real-time third contribution coefficient are obtained.

[0063] Furthermore, step S40 of the present invention further includes:

[0064] S44: Obtain multiple data permission levels of the achievement data and configure multiple contribution coefficient thresholds; S45: Respectively determine the maximum contribution coefficient threshold satisfied by the real-time first contribution coefficient, real-time second contribution coefficient, and real-time third contribution coefficient, and configure the corresponding data permission levels as the first data permission, second data permission, and third data permission for achievement data permission management.

[0065] Specifically, first, obtain multiple data permission levels of the achievement data and configure multiple contribution coefficient thresholds. For example, the data permission levels include view permission, download permission, edit permission, etc. According to different projects and data types, the setting of the permission levels may vary, and usually, corresponding permissions are assigned according to the importance and sensitivity of the data; the contribution coefficient threshold is used to determine whether a party can obtain a certain level of data access permission. Each contribution coefficient will have different thresholds, and the corresponding permission level is determined based on the size of the contribution coefficient. For example, for the view permission, the contribution coefficient is between 0.2 and 0.3; for the edit permission, the contribution coefficient is between 0.3 and 0.4; for the download permission, the contribution coefficient is between 0.4 and 0.5.

[0066] Next, judge the real-time first contribution coefficient, real-time second contribution coefficient, and real-time third contribution coefficient respectively according to the multiple contribution coefficient thresholds, and configure the corresponding data permission levels as the first data permission, second data permission, and third data permission according to the judgment results. That is, for each participating party, check the maximum contribution coefficient threshold satisfied by its real-time contribution coefficient, allocate the corresponding data permissions, and perform achievement data permission management according to the allocated first data permission, second data permission, and third data permission. Among them, the data permission comparison table is shown in Table 5:

[0067] Table 5: Data Permission Comparison Table

[0068] Participating party Real-time contribution coefficient Contribution coefficient threshold Data permission level Enterprise 0.25 0.2-0.3 View University 0.35 0.3-0.4 View, edit R & D institution 0.45 0.4-0.5 View, edit, download

[0069] In this way, data rights can be dynamically allocated based on the actual contribution of each participant, ensuring the scientificity, fairness and flexibility of data management.

[0070] The scientific and technological achievement data management method for industry-university-research transformation provided by the embodiment of the present invention has at least the following technical effects:

[0071] By collecting the project characteristic information of the target project of the industry-university-research transformation, a plurality of similar projects are retrieved in the achievement information management system according to the project characteristic information; then, according to the human information and material information in the transformation process of the plurality of similar projects, combined with the planned human information and planned material information of the target project, the contribution coefficients of the three parties of industry-university-research are allocated and fuzzy compensation is performed to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval; further, the real-time achievement data of the target project is collected, updated and stored in the achievement information management system, and the project progress coefficient is obtained; finally, according to the project progress coefficient, the real-time first contribution coefficient, the real-time second contribution coefficient and the real-time third contribution coefficient are calculated in the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, and the first data permission, the second data permission and the third data permission are configured to perform achievement data permission management. In other words, by calculating the contribution coefficients of all parties and configuring data access rights, it can ensure that the three parties of industry-university-research obtain corresponding permissions according to their actual contributions, and improve the efficiency, fairness and accuracy of data management; at the same time, by adjusting the data access rights in real time, it can more flexibly respond to changes in project progress, ensure the reasonable allocation of resources and data, and protect the interests of all parties.

[0072] Although preferred embodiments of the present invention have been described, additional changes and modifications may occur to these embodiments once those skilled in the art understand the basic inventive concepts.

[0073] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and variations.

Claims

1. A scientific and technological achievement data management method for industry-university-research transformation, characterized in that the method include: Collect the project characteristic information of the target project of industry-university-research transformation, and search for multiple similar projects in the achievement information management system based on the project characteristic information; According to the human resources information and material information in the transformation process of the plurality of same family projects, combined with the planned human resources information and planned material information of the target project, the contribution coefficients of the three parties of industry, academia and research are allocated and fuzzy compensation is performed to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval; Collecting real-time achievement data of the target project, updating and storing it in the achievement information management system, and obtaining the project progress coefficient; According to the project progress coefficient, the real-time first contribution coefficient, real-time second contribution coefficient and real-time third contribution coefficient are calculated in the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, and the first data permission, the second data permission and the third data permission are configured to perform achievement data permission management.

2. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 1, wherein, Collect the project characteristic information of the target project of industry-university-research transformation, and search for multiple similar projects in the achievement information management system based on the project characteristic information, including: Collecting project characteristic information of target projects of industry-university-research transformation, wherein the project characteristic information includes project field, project scale and project level; According to the project characteristic information, a plurality of projects having the same project characteristic information are retrieved in the achievement information management system as a plurality of same-family projects.

3. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 1, wherein According to the human resources information and material information in the transformation process of the plurality of same family projects, combined with the planned human resources information and planned material information of the target project, the contribution coefficients of the three parties of industry, academia and research are allocated and fuzzy compensation is performed, including: Acquire the human resources information and material information of the multiple projects of the same family during the conversion process, and obtain multiple pieces of human resources information and multiple pieces of material information of the same family, wherein the human resources information includes the sum of the educational levels of all staff members in the project, and the material information includes the sum of the value data of all materials in the project; Acquire planned human resources information and planned material information of the target project; Calculate the ratio of the planned manpower information to the average value of the plurality of manpower information of the same family as the manpower coefficient, and calculate the ratio of the planned material information to the average value of the plurality of material information of the same family as the material coefficient; Obtain the first planned human resources ratio, first planned material ratio, second planned human resources ratio, second planned material ratio, third planned human resources ratio, and third planned material ratio of the three parties of industry, academia, and research in the target project; According to the manpower coefficient and the material coefficient, weighted calculation and allocation are performed on the first planned manpower ratio, the first planned material ratio, the second planned manpower ratio, the second planned material ratio, the third planned manpower ratio, and the third planned material ratio, respectively, to obtain a first contribution coefficient, a second contribution coefficient, and a third contribution coefficient; Fuzzy analysis is performed based on the multiple same-family human resources information and multiple same-family material information to obtain human resources fuzzy coefficients and material fuzzy coefficients, and the first contribution coefficient, the second contribution coefficient and the third contribution coefficient are compensated to obtain the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval.

4. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 3, wherein, According to the plurality of same-family manpower information and the plurality of same-family material information, fuzzy analysis is performed to obtain manpower fuzzy coefficients and material fuzzy coefficients, including: According to the plurality of same-family manpower information, the manpower fuzzy coefficient is calculated as follows: Among them, K P is the manpower fuzzy coefficient, P max and P min It is the maximum and minimum value among multiple human resources information of the same ethnic group; The material fuzzy coefficient is calculated based on the multiple materials of the same family.

5. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 3, wherein Compensating the first contribution coefficient, the second contribution coefficient, and the third contribution coefficient includes: Calculate the average of the manpower fuzzy coefficient and the material fuzzy coefficient to obtain a total fuzzy coefficient as a compensation coefficient; The compensation coefficient is used to perform positive compensation calculation and negative compensation calculation on the first contribution coefficient, the second contribution coefficient and the third contribution coefficient to obtain a first contribution coefficient interval, a second contribution coefficient interval and a third contribution coefficient interval.

6. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 1, characterized in that, Collect the real-time achievement data of the target project, update and store it in the achievement information management system, and obtain the project progress coefficient, including: Collecting real-time achievement data of the target project and obtaining real-time time, and updating and storing the real-time achievement data in the achievement information management system; The planned time of the target project is obtained, and the project progress coefficient is calculated in combination with the real time.

7. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 1, wherein According to the project progress coefficient, a real-time first contribution coefficient, a real-time second contribution coefficient and a real-time third contribution coefficient are calculated in the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, including: Obtaining the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval, and the third contribution coefficient interval; The project progress coefficient is multiplied by the interval lengths of the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval, respectively, and the minimum endpoint values of the first contribution coefficient interval, the second contribution coefficient interval and the third contribution coefficient interval are added to obtain a basic first contribution coefficient, a basic second contribution coefficient and a basic third contribution coefficient; The basic first contribution coefficient, the basic second contribution coefficient and the basic third contribution coefficient are allocated in real time to obtain a real-time first contribution coefficient, a real-time second contribution coefficient and a real-time third contribution coefficient.

8. The method for managing scientific and technological achievement data for industry-university-research transformation according to claim 1, characterized in that, Configure the first data permission, the second data permission and the third data permission to manage the achievement data permission, including: Acquire multiple data permission levels of achievement data and configure multiple contribution coefficient thresholds; respectively determine the maximum contribution coefficient thresholds satisfied by the real-time first contribution coefficient, the real-time second contribution coefficient and the real-time third contribution coefficient, configure corresponding data permission levels as the first data permission, the second data permission and the third data permission, and perform achievement data permission management.

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