Device and method for revealing unused high-value resource data of university library

Abstract

The invention discloses a device and method for revealing unused high-value resource data of a university library, and belongs to the technical field of high-value resource data. Importing a database use report of the library; corresponding references are collected according to posted documents of colleges and universities every year; deducing which library ordering resources are not used by combining library ordering resources imported by a user, a use report and reference data; screening out high-value resources from the unused library ordering resources, wherein the high-value resources are silent resources; therefore, unused high-value periodicals and books are disclosed for electronic periodicals and book data purchased by university libraries.

Description

Technical Field

[0001] The present invention belongs to the technical field of high-value resource data, and in particular relates to a device and method for revealing unused high-value resource data of a university library. Background Art

[0002] As mentioned in the prior art solution with patent publication number "CN118261754A", the services for university libraries are diverse. With the implementation of the "Double First-Class" construction strategy by the country, higher education has entered a new stage of connotation-based development. As an important supporting department for school education, teaching and scientific research, university libraries are responsible for the mission of providing strong support for the school to cultivate world-class talents, create world-class disciplines, and build world-class universities. Under the background of "Double First-Class" construction, the development of characteristic and advantageous disciplines in colleges and universities is more important. The construction of digital resources in university libraries is an important factor in supporting the development of disciplines. Therefore, university libraries purchase a large number of digital resources every year. Only 60% of these purchased resources are used, and a large number of high-value resources are not used. How to reveal and utilize these high-value resources has become an urgent problem to be solved. The specific defects and deficiencies are as follows:

[0003] The existing library database navigation system only displays the database subscribed by the school, and does not disclose the resources in the database in detail. Users can only search for resources by themselves, resulting in a large number of high-value resources not being used. The present invention is to solve the problem of how to disclose these unused high-value resources (dormant resources). Summary of the invention

[0004] In order to solve the defects existing in the prior art, the present invention proposes a device and method for revealing the unused high-value resource data of university libraries, which includes the import of library subscription resources; the import of library database usage reports; the collection of corresponding references according to the annual publication of the university; the deduction of which library subscription resources are unused by combining the library subscription resources, usage reports and reference data imported by users; the screening of high-value resources from these unused library subscription resources, which are also dormant resources; thereby revealing the unused high-value journals and books with respect to the electronic journals and book data purchased by the university library.

[0005] The present invention uses the following technical solutions.

[0006] A method for revealing unused high-value resource data of university libraries, comprising:

[0007] Step 1: Import of library subscription resources;

[0008] Step 2: Import the library's database usage report;

[0009] Step 3: Collect corresponding references based on the papers published by universities each year;

[0010] Step 4: Combine the library subscription resources, usage reports and reference data imported by users to deduce which library subscription resources are not used;

[0011] Step 5: Filter out high-value resources from these unused library subscription resources. High-value resources are also dormant resources.

[0012] Preferably, in step 1, the user imports the periodicals and books data subscribed by the library according to the template provided by the library management system, thereby realizing the import of the library's subscribed resources. The periodicals and books data subscribed by the library are the library's subscribed resources.

[0013] Preferably, in step 1, the template provided by the library management system is the database storing the data of periodicals and books ordered by the library.

[0014] Preferably, the library is a university library.

[0015] Preferably, in step 2, the user imports a usage report of the library's database according to the COUNTER standard.

[0016] Preferably, in step 4, based on the information of the library-subscribed resources that have not been downloaded and cited in the past three years in the usage reports and reference data, it is deduced that these library-subscribed resources are not used.

[0017] Preferably, in step 5, library subscription resources whose dormancy values ​​are higher than a critical value are screened out from unused library subscription resources as high-value resources.

[0018] Preferably, in step 5, dormant resources are high-value resources that have not been downloaded and cited in the past three years; the dormant value of an unused journal is the sum of the SNIP values ​​corresponding to all dormant journals; the dormant value of an unused book is the sum of the BCR values ​​corresponding to all dormant books.

[0019] Preferably, in step 5, the SNIP value is Source Normalized Impact per Paper;

[0020] The BCR value uses the number of citations of global books to reflect the scientific research value of books.

[0021] A device for revealing unused high-value resource data of a university library, comprising:

[0022] Import module 1, which is used to import library subscription resources;

[0023] Import module 2, which is used to import library database usage reports;

[0024] The collection module is used to collect corresponding references based on the papers published by universities each year;

[0025] A derivation module, which is used to combine the library subscription resources, usage reports and reference data imported by the user to deduce which library subscription resources are not used;

[0026] The screening module is used to screen out high-value resources from these unused library-subscribed resources. High-value resources are also dormant resources.

[0027] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0028] Relying on the resource lists, usage reports and references provided by university libraries, these three types of data are innovatively combined together to reveal the school's unused high-value resources, improve the utilization efficiency of electronic resources, and improve the efficiency of fund utilization of university libraries. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a flow chart of the method for revealing the unused high-value resource data of the university library described in the present invention;

[0030] Figure 2 It is a partial structural diagram of the device for revealing the unused high-value resource data of the university library described in the present invention. DETAILED DESCRIPTION

[0031] The existing library database navigation system only displays the database subscribed by the school, and does not disclose the resources in the database in detail. Users can only search for resources by themselves, resulting in a large number of high-value resources not being used. The present invention is to solve the problem of how to disclose these unused high-value resources (dormant resources); the present invention mainly targets the electronic journals and book data purchased by university libraries, and discloses unused high-value journals and books.

[0032] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will be combined with the drawings in the embodiments of the present invention to clearly and completely express the technical solution of the present invention. The embodiments expressed in the present invention are only some embodiments of the present invention, not all embodiments. According to the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the protection scope of the present invention.

[0033] like Figure 1As shown, the method for revealing unused high-value resource data of a university library according to the present invention comprises:

[0034] Step 1: Import of library subscription resources;

[0035] In a preferred but non-limiting embodiment of the present invention, in step 1, the user imports the periodicals and book data subscribed by the library according to the template provided by the library management system, thereby realizing the import of the library's subscribed resources. The periodicals and book data subscribed by the library are the library's subscribed resources.

[0036] In a preferred but non-limiting embodiment of the present invention, in step 1, the template provided by the library management system is the database storing the data of periodicals and books ordered by the library.

[0037] In a preferred but non-limiting embodiment of the present invention, the library is a university library.

[0038] Step 2: Import the library's database usage report;

[0039] In a preferred but non-limiting embodiment of the present invention, in step 2, the user imports the usage report of the library's database according to the COUNTER standard.

[0040] Step 3: The device for revealing the unused high-value resource data of the university library collects the corresponding references (citations) according to the annual publications of the university;

[0041] Step 4: Combine the library subscription resources, usage reports and reference data imported by users to deduce which library subscription resources are not used;

[0042] In a preferred but non-limiting embodiment of the present invention, in step 4, based on the information of library-subscribed resources (library journals and books) that have not been downloaded and cited in the past three years in the usage reports and reference data, it is deduced that these library-subscribed resources are not used.

[0043] Step 5: The device for revealing the data of unused high-value resources of university libraries selects high-value resources from these unused library subscription resources. High-value resources are also dormant resources.

[0044] In a preferred but non-limiting embodiment of the present invention, in step 5, library subscription resources whose silence value is higher than a critical value are selected from unused library subscription resources as high-value resources. The critical value can be set according to actual needs of users.

[0045] The device for revealing the unused high-value resource data of university libraries reveals these high-value resources through the silence value and the silence resource, and users can view and download these high-value resources. The present invention mainly realizes the process of importing, screening, recording, revealing and calculating the silence value of the silence resource data.

[0046] In a preferred but non-limiting implementation of the present invention, in step 5, dormant resources are high-value resources (journals, books) that have not been downloaded and cited in the past three years; the dormant value of an unused journal is the sum of the SNIP values ​​corresponding to all dormant journals; the dormant value of an unused book is the sum of the BCR values ​​corresponding to all dormant books.

[0047] In a preferred but non-limiting embodiment of the present invention, in step 5, the SNIP value, i.e., Source Normalized Impact per Paper, is a journal evaluation indicator proposed by Dutch scholar Henk Moed in 2010. This indicator is intended to evaluate the influence of journals in different subject areas, and evaluates the impact of journals by considering factors such as the number of citations and citations and the relevant characteristics of citations. The SNIP value provides a relatively objective indicator to measure the influence of a journal in a specific subject area by correcting the differences in citation behavior of journals in different subject areas;

[0048] BCR value: BCR uses the number of citations of global books to reflect the scientific research value of books. The higher the BCR, the higher the scientific research value of the book. However, there will be some differences in the scientific research outputs of different disciplines. For example, the scientific research output of medicine is active, while the scientific research output of mathematics and physics-related disciplines is relatively weak. The absolute value of BCR will show a large difference. By normalizing the disciplines, the BCR values ​​of books in different disciplines can be directly compared.

[0049] For example, the calculation formula for the silence value of a journal is:

[0050]

[0051] There is a set S that contains all dormant journals, and each journal i has a corresponding SNIP value, denoted as SNIPi

[0052] This formula represents the sum of the SNIP values ​​of all dormant journals in set S. Among them, ∑ is the summation symbol, and i∈S means iterating over each element i in set S (i.e., each dormant journal) and adding their SNIPi values ​​together.

[0053] For example, if the set S contains three dormant journals with SNIP values ​​of 0.5, 0.8, and 1.2, then the dormancy value is the sum of these three numbers:

[0054] Silent value = 0.5 + 0.8 + 1.2 = 2.5.

[0055] like Figure 2 As shown, the device for revealing unused high-value resource data of a university library according to the present invention comprises:

[0056] Import module 1, which is used to import library subscription resources;

[0057] Import module 2, which is used to import library database usage reports;

[0058] The collection module is used to collect corresponding references based on the papers published by universities each year;

[0059] A derivation module, which is used to combine the library subscription resources, usage reports and reference data imported by the user to deduce which library subscription resources are not used;

[0060] The screening module is used to screen out high-value resources from these unused library-subscribed resources. High-value resources are also dormant resources.

[0061] The beneficial effects of the present invention are that, compared with the prior art, the technical effects of the present invention include:

[0062] Relying on the resource lists, usage reports and references provided by university libraries, these three types of data are innovatively combined together to reveal the school's unused high-value resources, improve the utilization efficiency of electronic resources, and improve the efficiency of fund utilization of university libraries.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not deviate from the spirit and scope of the present invention should be included in the protection scope of the claims of the present invention.

Claims

1. A method for revealing unused high-value resource data in university libraries, characterized in that: include: Step 1: Import of library subscription resources; Step 2: Import the library's database usage report; Step 3: Collect corresponding references based on the papers published by universities each year; Step 4: Combine the library subscription resources, usage reports and reference data imported by users to deduce which library subscription resources are not used; Step 5: Filter out high-value resources from these unused library subscription resources. High-value resources are also dormant resources.

2. The method for revealing unused high-value resource data of university libraries according to claim 1, characterized in that: In step 1, the user imports the periodicals and books data ordered by the library according to the template provided by the library management system, thereby realizing the import of the library's ordered resources. The periodicals and books data ordered by the library are the library's ordered resources.

3. The method for revealing unused high-value resource data of university libraries according to claim 2, characterized in that: In step 1, the template provided by the library management system is the database where the data of journals and books ordered by the library are stored.

4. The method for revealing unused high-value resource data of university libraries according to claim 3, characterized in that: The library is a university library.

5. The method for revealing unused high-value resource data of university libraries according to claim 4 is characterized in that: In step 2, the user imports the usage report of the library's database according to the COUNTER standard.

6. The method for revealing unused high-value resource data of university libraries according to claim 5, characterized in that: In step 4, based on the information of library-subscribed resources that have not been downloaded and cited in the past three years in the usage reports and reference data, it is deduced that these library-subscribed resources are not used.

7. The method for revealing unused high-value resource data of university libraries according to claim 6 is characterized in that: In step 5, library subscription resources whose dormancy values ​​are higher than a critical value are screened out from unused library subscription resources as high-value resources.

8. The method for revealing unused high-value resource data of university libraries according to claim 7, characterized in that: In step 5, dormant resources are high-value resources that have not been downloaded and cited in the past three years; the dormant value of unused journals is the sum of the SNIP values ​​corresponding to all dormant journals; the dormant value of unused books is the sum of the BCR values ​​corresponding to all dormant books.

9. The method for revealing unused high-value resource data of university libraries according to claim 8, characterized in that: In step 5, the SNIP value is Source Normalized Impact per Paper; The BCR value uses the number of citations of global books to reflect the scientific research value of books.

10. A device for revealing unused high-value resource data in a university library, characterized in that: include: Import module 1, which is used to import library subscription resources; Import module 2, which is used to import library database usage reports; The collection module is used to collect corresponding references based on the papers published by universities each year; A derivation module, which is used to combine the library subscription resources, usage reports and reference data imported by the user to deduce which library subscription resources are not used; The screening module is used to screen out high-value resources from these unused library-subscribed resources. High-value resources are also dormant resources.

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