CN107633345B - Electronic resource utilization performance analysis and management method - Google Patents
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Abstract
The invention provides an electronic resource utilization performance analysis and management method, wherein the indexes of the electronic resource utilization performance comprise a downloading amount, a quoted amount and a museum collection amount, and the method comprises the following steps: quantitatively collecting the downloading amount, the quoted amount and the collection amount to generate a corresponding database; importing a COUNTER report and a quote data list and matching the corresponding database so as to screen and update the database; performing resource utilization performance analysis on the screened and updated database, wherein the resource utilization performance analysis comprises performance index analysis and data evaluation management based on the performance indexes. The invention helps the library to collect various quantitative data, performs performance analysis on electronic resources, provides an analysis tool and a decision support for database ordering, provides deep resource carding for subject service, and has the advantages of strong reliability of data analysis and high accuracy of resource management results.
Description
Technical Field
The invention belongs to the field of internet data analysis, and particularly relates to an electronic resource utilization performance analysis management method.
Background
With the development of computer and network technology, the networking and digitalization level of the library is gradually improved, and electronic resources become more and more convenient retrieval resources. The purchasing and construction costs of electronic resources in libraries of colleges and universities are gradually increased year by year, and the proportion of the purchasing expenses of electronic resources to the total purchasing expenses of the libraries is continuously improved. The performance analysis of the electronic resources is beneficial to scientific purchasing of the electronic resources, and the problem of how to reasonably allocate the expenses under the current large background of mass information is solved. At present, teachers and scholars in the library industry also use and analyze the performance of research on electronic resources, mostly stay in a theoretical research stage of index searching and index quantification, and no formed technical scheme exists. In addition, in the current research, most analysis indexes set the download amount as the use value and cost accounting of the investigation database, but the download amount is usually provided by a database provider, and the reliability of the download amount data is deficient, so that a precise and reliable electronic resource performance analysis result cannot be obtained, and needs to be improved.
The patent is a ubiquitous document management service platform based on cloud computing and RFID technology, and application number (CN201110240889.7) comprises the following steps: step 1, physical carrier resources and network information resources processed by traditional processes of purchasing, cataloging, classifying, classical storage, circulation and the like are processed in a local library; step 2, aiming at the practical requirements, the system supports the acquisition, description and maintenance of various collections and the discovery and transmission of resources, provides seamless and efficient novel information retrieval and utilization services, and provides an integrated and tailorable service management platform; and 3, the system also provides standard interfaces for part of the functional modules according to related standards, realizes information exchange and service among cross-platform and cross-network document information management platforms, establishes organic relation among the information management platforms, and realizes resource integration and service integration. The platform is based on a cloud computing platform, solves the communication problem in application through a middleware technology and an SOA (service oriented architecture) framework, cannot accurately position and analyze the resource utilization conditions of related documents and periodical files, and cannot obtain a reasonable evaluation mechanism according to comprehensive analysis of the resource utilization conditions.
Therefore, an electronic resource utilization performance analysis and management method with accurate data analysis, high reliability of electronic resource management results and complete evaluation mechanism is urgently needed.
Disclosure of Invention
The invention aims to provide an electronic resource utilization performance analysis and management method, which aims to solve the problems that the prior art cannot accurately position and analyze the resource utilization conditions of related documents and periodical files and cannot comprehensively analyze the resource utilization conditions to obtain a reasonable evaluation mechanism.
The invention provides the following technical scheme:
an electronic resource utilization performance analysis management method, the indicators of the electronic resource utilization performance including a download amount, a quote amount and a museum inventory, the method comprising the steps of: quantitatively collecting the downloading amount, the quoted amount and the collection amount to generate a corresponding database; importing a COUNTER report and a quote data list and matching the corresponding database so as to screen and update the database; performing resource utilization performance analysis on the screened and updated database, wherein the resource utilization performance analysis comprises performance index analysis and data evaluation management based on the performance indexes;
the performance indicator analysis includes the steps of, S301: analyzing the collected data; s302: data grading collection management; s303: analyzing the data guarantee rate; s304: analyzing a matrix; the matrix analysis method comprises the following steps: and counting a periodical list of the database: searching and storing corresponding periodicals from the database according to preset database information; and (3) counting the journal usage amount of the database: the usage amount of the periodicals comprises a downloading amount and an quoted amount, and usage amount information of the periodicals is obtained from the database according to the periodical IDs; dividing the journal usage information by quadrants: the method comprises four quadrants of low-download high-reference, high-download high-reference, low-download low-reference and high-download low-reference, and usage information databases corresponding to the four quadrants are matched respectively;
the data evaluation management method comprises the following steps: s311: acquiring a data evaluation index from the database and setting corresponding weight; s312: selecting an intention periodical from the database, and acquiring the usage amount information of the periodical according to the periodical ID; s313: and matching the data evaluation indexes in the S311 with the usage amount information of the periodicals in the S312 according to the weights to obtain the comprehensive score and ranking of the database.
Further, the analysis of the collected data comprises the following steps: and (3) extraction of collected overview data: selecting the intentional collection year, reading all collected periodicals of the year from the database through address resolution, and displaying the periodicals; splitting periodical data: splitting the periodical into a current periodical and a past periodical according to the data of the collected periodical, storing the current periodical and the past periodical, identifying the ID of the periodical, performing repeated matching of the ID, and storing the matched repeated periodical to display the net periodical quantity and the repeated periodical quantity; matching the core periodicals: and searching a core journal list corresponding to the year from a database according to the year of the address resolution, and matching the core journal list with the split collected periodicals to obtain the corresponding core journal matching number.
Further, the data hierarchical aggregation management comprises the following steps: automatically matching periodicals of corresponding years: selecting the usage amount of the intention periodicals, performing address resolution on the year, and reading all periodicals information corresponding to the year from a database; matching usage information corresponding to the periodical: matching the usage amount information of the journal of the year according to the ID of the journal information, and storing the usage amount information; and (3) carrying out hierarchical statistics on the usage amount: and dividing the stored journal usage information according to hierarchy, and circulating all the journals to obtain the journal usage information after hierarchical summarization.
Further, the data assurance rate analysis method comprises the following steps: acquiring calendar year collection information: inquiring information corresponding to the collection from the database for past years, and storing the information; obtaining a journal list of the guarantee rate index: according to the year and the type, a periodical list of each core index in each year is searched from a database and is stored; and (3) calculating the guarantee rate: and cross-matching the stored collection information with the periodical list, and distinguishing guaranteed parts from non-guaranteed parts to obtain a data guarantee rate.
Furthermore, the guarantee rate index comprises a library core guarantee rate, an SNIP ranking guarantee rate and a subject guarantee rate.
Further, the data evaluation management method further comprises a custom evaluation method, and the custom evaluation method comprises the following steps: selecting an evaluation year and an evaluation type, comparing the information of the database, judging whether to import the database list, and if not, performing evaluation calculation according to the selected database; if so, analyzing and judging whether the imported database list meets the standard, if so, performing evaluation calculation according to the imported database list, and if not, feeding back the information which does not meet the standard and re-evaluating.
The invention has the beneficial effects that:
1. introduction of quote quantity indexes, comprehensive comparison of download quantity to obtain periodical use quantity information, no influence of subject differences and the like, and performance analysis results have higher reference value;
2. the analysis method and the management method are based on the database, and the database can be updated and screened, so that the accuracy of the overall analysis result is guaranteed;
3. performance index analysis and data evaluation management based on the performance indexes are adopted, so that the indexes of the electronic resource utilization performance evaluation analysis are multidimensional, and the reliability of the analysis result is further guaranteed;
4. the method is simple, low in operation cost and strong in operability.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow diagram of a performance analysis framework method of the present invention;
FIG. 2 is a flow chart of database analysis management;
FIG. 3 is a flow chart of performance indicator analysis steps;
FIG. 4 is a flow chart of the analysis of the collected data;
FIG. 5 is a data evaluation management flow diagram;
FIG. 6 is a sub-discipline coverage calculation flow chart;
FIG. 7 is a flow chart of a custom evaluation method.
Detailed Description
Example one
As shown in fig. 1 to 2, an electronic resource utilization performance analysis management method, for the purpose of providing an index of electronic resource utilization performance including a download amount, a quote amount, and a museum inventory, includes the steps of: quantitatively collecting the downloading amount, the quoted amount and the collection amount to generate a corresponding database; importing a COUNTER report and a quote data list and matching the corresponding database so as to screen and update the database; performing resource utilization performance analysis on the screened and updated database, wherein the resource utilization performance analysis comprises performance index analysis and data evaluation management based on the performance indexes. Where COUNTER is reported as a criterion for online electronic resource usage statistics.
As shown in fig. 3, the performance indicator analysis includes the following steps, S1: analyzing the collected data; s2: data grading collection management; s3: analyzing the data guarantee rate; s4: and (5) matrix analysis.
As shown in fig. 4, the analysis of the collected data includes the following steps: and (3) extraction of collected overview data: selecting the intentional collection year, reading all collected periodicals of the year from the database through address resolution, and displaying the periodicals; splitting periodical data: splitting the periodical into a current periodical and a past periodical according to the data of the collected periodical, storing the current periodical and the past periodical, identifying the ID of the periodical, performing repeated matching of the ID, and storing the matched repeated periodical to display the net periodical quantity and the repeated periodical quantity; matching the core periodicals: and searching a core journal list corresponding to the year from a database according to the year of the address resolution, and matching the core journal list with the split collected periodicals to obtain the corresponding core journal matching number. The data grading collection management comprises the following steps: automatically matching periodicals of corresponding years: selecting the usage amount of the intention periodicals, performing address resolution on the year, and reading all periodicals information corresponding to the year from a database; matching usage information corresponding to the periodical: matching the usage amount information of the journal of the year according to the ID of the journal information, and storing the usage amount information; and (3) carrying out hierarchical statistics on the usage amount: and dividing the stored journal usage information according to hierarchy, and circulating all the journals to obtain the journal usage information after hierarchical summarization. The current periodical is a periodical which is published in the current year and placed on a current periodical rack, or a periodical which is published in the previous year and still placed on the current periodical rack and is not bound into a bound book; the past periodical refers to a periodical published in the past year, bound into a volume and placed on a past periodical rack.
As shown in fig. 5 to 6, the data coverage analysis method includes the steps of: acquiring calendar year collection information: inquiring information corresponding to the collection from the database for past years, and storing the information; obtaining a journal list of the guarantee rate index: according to the year and the type, a periodical list of each core index in each year is searched from a database and is stored; and (3) calculating the guarantee rate: and cross-matching the stored collection information with the periodical list, and distinguishing guaranteed parts from non-guaranteed parts to obtain a data guarantee rate. The guarantee rate index comprises a collection core guarantee rate, an SNIP ranking guarantee rate and a subject guarantee rate. The SNIP is called Source Normalized Impact Paper, developed by research center of science and technology of Lailton university in the Netherlands, and used for correcting different reference methods among various fields so as to improve index capability among different subjects. In brief, because the activity of the subject is different, the citing frequency of the biomedical papers is higher, the citing frequency of the mathematic field is lower, in order to correct the problem of inconsistent citing frequency between different fields, the SNIP normalizes the IF index subject (the IF index refers to the influence factor of the journal), and the SNIP is an index which can directly compare the journals in two different fields through absolute values.
Specifically, in the method for analyzing the sub-discipline guarantee rate, a plurality of discipline departments can be introduced, whether the discipline departments are imported into an order list of a database is judged according to the selected discipline departments, if the selected discipline department guarantee rate is zero, the reselection is returned, if the selected discipline department guarantee rate meets the requirement, the information of a college department and collection list of the year is matched, each independent discipline is analyzed in a circulating mode, the discipline with the sub-discipline is picked out, a periodical list corresponding to the discipline is found, the guarantee rate of the sub-discipline is calculated, the guarantee rate of the discipline without the sub-discipline is calculated directly, and the result is obtained finally.
The matrix analysis method comprises the following steps: and counting a periodical list of the database: searching and storing corresponding periodicals from the database according to preset database information; and (3) counting the journal usage amount of the database: the usage amount of the periodicals comprises a downloading amount and an quoted amount, and usage amount information of the periodicals is obtained from the database according to the periodical IDs; dividing the journal usage information by quadrants: the method comprises four quadrants of low-download high-reference, high-download high-reference, low-download low-reference and high-download low-reference, and usage information databases corresponding to the four quadrants are matched respectively. The data evaluation management method comprises the following steps: s311: acquiring a data evaluation index from the database and setting corresponding weight; s312: selecting an intention periodical from the database, and acquiring the usage amount information of the periodical according to the periodical ID; s313: and matching the data evaluation indexes in the S311 with the usage amount information of the periodicals in the S312 according to the weights to obtain the comprehensive score and ranking of the database.
As shown in fig. 7, the data evaluation management method further includes a custom evaluation method, and the custom evaluation method includes the following steps: selecting an evaluation year and an evaluation type, comparing the information of the database, judging whether to import the database list, and if not, performing evaluation calculation according to the selected database; if so, analyzing and judging whether the imported database list meets the standard, if so, performing evaluation calculation according to the imported database list, and if not, feeding back the information which does not meet the standard and re-evaluating.
Example two
As shown in fig. 1 to 2, an electronic resource utilization performance analysis management method, for the purpose of providing an index of electronic resource utilization performance including a download amount, a quote amount, and a museum inventory, includes the steps of: quantitatively collecting the downloading amount, the quoted amount and the collection amount to generate a corresponding database; importing a COUNTER report and a quote data list and matching the corresponding database so as to screen and update the database; performing resource utilization performance analysis on the screened and updated database, wherein the resource utilization performance analysis comprises performance index analysis and data evaluation management based on the performance indexes.
As shown in fig. 2, the management of the database includes database list management, and the purpose of the database list management is to manage the databases of the picking and ordering, and the periodicals, the ordering price and the ordering status in the databases. The specific management steps are as follows: newly adding a database; screening according to the name to complete new addition; inputting a database price parameter; selecting ordered periodical sub-packages; if no suitable periodical subpackage exists, uploading a list which can be carried out; uploading a periodical list; and (6) analyzing and processing.
EXAMPLE III
As shown in fig. 1 to 2, an electronic resource utilization performance analysis management method, for the purpose of providing an index of electronic resource utilization performance including a download amount, a quote amount, and a museum inventory, includes the steps of: quantitatively collecting the downloading amount, the quoted amount and the collection amount to generate a corresponding database; importing a COUNTER report and a quote data list and matching the corresponding database so as to screen and update the database; performing resource utilization performance analysis on the screened and updated database, wherein the resource utilization performance analysis comprises performance index analysis and data evaluation management based on the performance indexes.
The electronic resource utilization performance analysis also comprises subject service analysis, the subject service analysis comprises ESI subject service analysis, the ESI is a basic scientific index database (ESI for short), which is a basic analysis evaluation tool for measuring scientific research performance and tracking scientific development trend, which is introduced in 2001 by U.S. scientific information institute (ISI) of world-known academic information publishing institution, and the ESI subject service aims to find the relevance of the introduced quantity and entering ESI subject, and the specific analysis steps are as follows:
(1) acquiring the year of an input parameter;
(2) reading a baseline list of the years corresponding to the ESI from the database according to the years obtained in the step 1;
(3) acquiring all the subjects of ESI from a database;
(4) acquiring information of all the subjects of ESI in the step 3 one by one;
(5) acquiring the original amount and the introduced amount of a single ESI subject from a database according to the year obtained in the step 1;
(6) returning to the step 4 until all ESI disciplines acquire the original amount and the introduced amount;
(7) and (3) combining the complete ESI subject text amount, the introduced amount and the ESI baseline list in the step (2) obtained in the step (4-6) to obtain a comparison graph of the text amount, the introduced amount and the baseline.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. An electronic resource utilization performance analysis management method, characterized in that the indicators of the electronic resource utilization performance include download amount, quote amount and museum inventory, the method comprises the following steps:
s1: quantitatively collecting the downloading amount, the quoted amount and the collection amount to generate a corresponding database;
s2: importing a COUNTER report and a quote data list and matching the corresponding database so as to screen and update the database;
s3: performing resource utilization performance analysis on the screened and updated database, wherein the resource utilization performance analysis comprises performance index analysis and data evaluation management based on the performance indexes;
the performance indicator analysis includes the steps of: s301, analyzing the collected data; s302, carrying out hierarchical aggregation management on data; s303, analyzing data guarantee rate; s304, matrix analysis;
the matrix analysis method comprises the following steps:
and counting a periodical list of the database: searching and storing corresponding periodicals from the database according to preset database information;
and (3) counting the journal usage amount of the database: the usage amount of the periodicals comprises a downloading amount and an quoted amount, and usage amount information of the periodicals is obtained from the database according to the periodical IDs;
dividing the journal usage information by quadrants: the method comprises four quadrants of low-download high-reference, high-download high-reference, low-download low-reference and high-download low-reference, and usage information databases corresponding to the four quadrants are matched respectively;
the data evaluation management method comprises the following steps:
s311: acquiring a data evaluation index from the database and setting corresponding weight;
s312: selecting an intention periodical from the database, and acquiring the usage amount information of the periodical according to the periodical ID;
s313: and matching the data evaluation indexes in the S311 with the usage amount information of the periodicals in the S312 according to the weights to obtain the comprehensive score and ranking of the database.
2. The method for managing electronic resource utilization performance analysis according to claim 1, wherein the collected data analysis includes the steps of:
and (3) extraction of collected overview data: selecting the intentional collection year, reading all collected periodicals of the year from the database through address resolution, and displaying the periodicals;
splitting periodical data: splitting the periodical into a current periodical and a past periodical according to the data of the collected periodical, storing the current periodical and the past periodical, identifying the ID of the periodical, performing repeated matching of the ID, and storing the matched repeated periodical to display the net periodical quantity and the repeated periodical quantity;
matching the core periodicals: and searching a core journal list corresponding to the year from a database according to the year of the address resolution, and matching the core journal list with the split collected periodicals to obtain the corresponding core journal matching number.
3. The method for analyzing and managing the performance of electronic resource utilization as claimed in claim 1, wherein said hierarchical data collection management comprises the steps of:
automatically matching periodicals of corresponding years: selecting the usage amount of the intention periodicals, performing address resolution on the year, and reading all periodicals information corresponding to the year from a database;
matching usage information corresponding to the periodical: matching the usage amount information of the journal of the year according to the ID of the journal information, and storing the usage amount information;
and (3) carrying out hierarchical statistics on the usage amount: and dividing the stored journal usage information according to hierarchy, and circulating all the journals to obtain the journal usage information after hierarchical summarization.
4. The electronic resource utilization performance analysis management method according to claim 1, wherein the data securing rate analysis method includes the steps of:
acquiring calendar year collection information: inquiring information corresponding to the collection from the database for past years, and storing the information;
obtaining a journal list of the guarantee rate index: according to the year and the type, a periodical list of each core index in each year is searched from a database and is stored;
calculating the guarantee rate: and cross-matching the stored collection information with the periodical list, and distinguishing guaranteed parts from non-guaranteed parts to obtain a data guarantee rate.
5. The method of claim 4, wherein the assurance rate indicators include curated core assurance rate, SNIP ranking assurance rate, and discipline assurance rate.
6. The electronic resource utilization performance analysis management method according to claim 1, wherein the data evaluation management method further includes a custom evaluation method, the custom evaluation method including the steps of:
selecting the evaluation year and the evaluation category, comparing the database information, judging whether to import the database list or not,
if not, carrying out evaluation calculation according to the selected database;
if so, analyzing and judging whether the imported database list meets the standard, if so, performing evaluation calculation according to the imported database list, and if not, feeding back the information which does not meet the standard and re-evaluating.
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