CN108053103A - A kind of scientific research information statistic management system - Google Patents

A kind of scientific research information statistic management system Download PDF

Info

Publication number
CN108053103A
CN108053103A CN201711270425.4A CN201711270425A CN108053103A CN 108053103 A CN108053103 A CN 108053103A CN 201711270425 A CN201711270425 A CN 201711270425A CN 108053103 A CN108053103 A CN 108053103A
Authority
CN
China
Prior art keywords
scientific research
project
information
module
management system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201711270425.4A
Other languages
Chinese (zh)
Inventor
张雪球
岳永魁
王翔
王铁军
赵明
曾广博
黄智斌
杨全宁
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Development Group Inc
Original Assignee
Guangzhou Development Group Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Development Group Inc filed Critical Guangzhou Development Group Inc
Priority to CN201711270425.4A priority Critical patent/CN108053103A/en
Publication of CN108053103A publication Critical patent/CN108053103A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/18Legal services; Handling legal documents
    • G06Q50/184Intellectual property management

Abstract

The present invention relates to a kind of scientific research information statistic management system, including:Scientific research information statistical module, for providing and the relevant report data of scientific and technological achievement;Scientific research benefit evaluation module, for the benefit of assessment technique;Scientific research information enquiry module, for inquiring about and the relevant information of scientific research project and document;Statistical report form module, for forming report according to report data.The present invention establishes the scientific research information statistic management system of complete set, especially suitable for large-scale group, because there are numerous subsidiaries under group, this may generate substantial amounts of scientific research information data, it has only and these data is managed as a whole by an effective scientific research information statistic management system, query analysis just is carried out convenient for enterprise, and good planning and guidance is carried out to development of company according to these data.

Description

A kind of scientific research information statistic management system
Technical field
The present invention relates to computer application fields, and in particular to a kind of scientific research information statistic management system.
Background technology
At present, domestic enterprise is still at an early stage in technology innovation management information system construction face, in technological architecture There are still many deficiencies.On the basis of enterprise technique center organizational framework at different levels, operating mechanism form higher management, strengthen information Change and build, management information system is built using the present computer technology, improve enterprise technique center innovative efficiency at different levels, management water It is flat, become the important process of current enterprise technique centers at different levels.
Enterprise should be directed to the R&D course statistical analysis of enterprise, particularly possess the large-scale group of a large amount of development projects, right It is particularly important that scientific research information carries out statistical management.However the country causes still without a set of scientific research information statistic management system at present Above management, which is earnestly hoped, to fail well to realize.
The content of the invention
The defects of in order to overcome the prior art, the present invention provide a kind of scientific research letter that can effectively count a large amount of scientific research informations Cease statistic management system.
For above-mentioned technical problem, the present invention so solves:A kind of scientific research information statistic management system, bag It includes:
Scientific research information statistical module, for providing and the relevant report data of scientific and technological achievement;
Scientific research benefit evaluation module, for the benefit of assessment technique;
Scientific research information enquiry module, for inquiring about and the relevant information of scientific research project and document;
Statistical report form module, for forming report according to report data.
The scientific research information statistical module of the present invention can provide the reports such as complete personnel, project, funds, achievement and target Data provide foundation for scientific research decision-making, improve the specific aim and efficiency of decision-making;For large-scale group, numerous new technologies Benefit is difficult to track statistics, therefore, sets scientific research benefit evaluation module can be to the application of new technology, expected production capacity, economic effect Benefit and effect are assessed, and enterprise is allow according to the situation of new technology to decide whether to increase or cancels the throwing to new technology Enter, play the role of stopping loss gain;Scientific research information enquiry module and statistical report form module are particularly important for large-scale group, Substantial amounts of data carry out collating sort by the two modules, and one is easy for inquiring about, and two are easy for intuitively analyzing data, Improve Industrial Data Management analysis efficiency.
Further, the scientific research benefit evaluation module is according to research staff's accounting, scientific research project in scientific research project personnel Input and output, the intellectual property output of scientific research project evaluate the benefit of scientific research project.
Intellectual property output refers to patent right, copyright or other fruits of mental labor outputs.For in scientific research project personnel Research staff's accounting, the input of scientific research project and output, the intellectual property output of scientific research project this three evaluation, are both to meet The reference foundation gone after profits and advoided disadvantages in standard and development Process of Enterprises is assert by the new high-tech enterprise that China advocates.
Further, the scientific research benefit evaluation module includes project grading module, and project grading module is for right respectively Research staff's accounting, the input-output ratio of scientific research project, the intellectual property output of scientific research project are commented in scientific research project personnel Point.
Further, the scientific research benefit evaluation module further includes standard scores conversion module, and project grading module will be each After scientific research project is scored, standard scores conversion module for respectively by research staff's accounting score of each scientific research project, Input-output ratio score, intellectual property output score are scaled standard scores.
Standard scores can intuitively embody research staff's accounting score, input-output ratio score and intellectual property in scientific research project Output score each scientific research project ranking, and this three calculate gained standard scores can directly phase Calais assess scientific research The overall benefit of project, and the scoring for being directly added three is nonsensical, because not can know that the effect of scientific research project so Beneficial ranking.
Further, the project grading module is respectively to research staff's accounting in scientific research project personnel, scientific research project The scoring of input-output ratio, the intellectual property output of scientific research project is weighted processing.Each enterprise will to this three stresses Ask all different, it is necessary to be analyzed with reference to actual conditions, so needing to be weighted scoring.
Further, negative-feedback item is added in the weighted term of the project grading module, negative-feedback item was according to commenting in the past The trend that rises or falls divided is adjusted.
If before this to research staff's accounting in scientific research project personnel, the input-output ratio of scientific research project or scientific research project Occur rising or falling trend in the scoring of intellectual property output, then negative-feedback item is to the trend counterproductive, targetedly Ground protrudes influence of the weak tendency item to standard scores, and company manager is reminded to notice the weakness in scientific research project, and is improved.
Further, the scientific research information statistical module further includes R & D Cost and collects unit, and R & D Cost collects unit For the R & D Cost of unified different Statistical Criterias.
For large group, on the basis of financial accounting bore statistics, Statistical Criteria, high tongue and groove footpath, State Assets Administration Committee pair are realized R & D Cost is collected in enterprise independent innovation input bore, meets government statistics, state-run assets, the related requirement of the departments of science and technology.
Further, the scientific research information enquiry module includes project information retrieval unit and relevant file retrieval list Member.
Document retrieving unit is capable of providing the search inquiry function to all documents in system.
Further, the project information retrieval unit includes:
Condition selecting unit, for selecting to need the data type inquired about and information type to display;
Querying condition unit, for selecting query context;
The results show unit, for showing the information to be inquired about.
The specific operation workflow of project information retrieval unit is:First the data class inquired about is needed in the selection of condition selecting unit Type and information type to display;Then the scope for the data inquired about in querying condition Unit selection needs(If desired for inquiry Data type be the project verification year of project, then optional scope 2016-2016 in this step);Final result display unit By the scope for the data type inquired about as needed, information type to display is shown.
Further, statistical report form module includes:Information table unit, for drawing and being formed the inquiry of required report data Form;Table unit is counted, for generating statistical analysis figure according to report data.
The convenient disposable a large amount of satisfactory data of extraction of information table unit are into form, to carry out at next step Reason improves efficiency;The statistical analysis figure of statistics table unit generation improves Industrial Data Management convenient for intuitively analyzing data Analysis efficiency.
Further, the statistical analysis figure includes grouping sheet, block diagram, cake chart and line chart.
The beneficial effects of the present invention are, the scientific research information statistic management system of complete set is established, especially suitable for Large-scale group, because there is numerous subsidiaries under group, this may generate substantial amounts of scientific research information data, have only by one Effective scientific research information statistic management system manages these data as a whole, just carries out query analysis, and root convenient for enterprise Good planning and guidance is carried out to development of company according to these data.
Description of the drawings
Fig. 1 is the module frame chart of this patent.
Specific embodiment
The present invention is described in detail below according to specific embodiment and attached drawing.
A kind of scientific research information statistic management system as shown in Figure 1, including:
Scientific research information statistical module, for providing and the relevant report data of scientific and technological achievement;
Scientific research benefit evaluation module, for the benefit of assessment technique;
Scientific research information enquiry module, for inquiring about and the relevant information of scientific research project and document;
Statistical report form module, for forming report according to report data.
The scientific research information statistical module of the present invention can provide the reports such as complete personnel, project, funds, achievement and target Data provide foundation for scientific research decision-making, improve the specific aim and efficiency of decision-making;For large-scale group, numerous new technologies Benefit is difficult to track statistics, therefore, sets scientific research benefit evaluation module can be to the application of new technology, expected production capacity, economic effect Benefit and effect are assessed, and enterprise is allow according to the situation of new technology to decide whether to increase or cancels the throwing to new technology Enter, play the role of stopping loss gain;Scientific research information enquiry module and statistical report form module are particularly important for large-scale group, Substantial amounts of data carry out collating sort by the two modules, and one is easy for inquiring about, and two are easy for intuitively analyzing data, Improve Industrial Data Management analysis efficiency.
The scientific research benefit evaluation module is according to research staff's accounting, the input of scientific research project and production in scientific research project personnel Go out, the intellectual property output of scientific research project this three indexs evaluate the benefit of scientific research project.The scientific research benefit evaluation module Including project grading module, project grading module is for respectively to research staff's accounting in scientific research project personnel, scientific research project Input-output ratio, the intellectual property output of scientific research project score.
The scientific research benefit evaluation module further include standard scores conversion module, project grading module by each scientific research project into After row scoring, standard scores conversion module is used for respectively by research staff's accounting score, the input-output ratio of each scientific research project Score, intellectual property output score are scaled standard scores, and specific formula is:Standard scores, x is some specific section Grind the research staff's accounting score, input-output ratio score or intellectual property output score of project;It is corresponding with x, it is specially each The average or each of the average of research staff's accounting score of scientific research project, the input-output ratio score of each scientific research project The average of the intellectual property output score of scientific research project;σ is corresponding with x, is specially research staff's accounting of each scientific research project The intellectual property output of the standard deviation of score, the standard deviation of the input-output ratio score of each scientific research project or each scientific research project The standard deviation of score;It for adjustable sampling factor, is engaged with basis point β so that sections of the standard scores Z 0 to 100 It is interior, it is easier to which that the scientific research project directly perceived that embodies is in research staff's accounting score, input-output ratio score or intellectual property output score On ranking;Further, the scope of basis point β is 40 to 60, and data are excessive and too small can all influence sampling factor α simultaneously Setting so that data bias distortion, ranking lose meaning.
Standard scores can intuitively embody research staff's accounting score, input-output ratio score and intellectual property in scientific research project Output score each scientific research project ranking, and this three calculate gained standard scores can directly phase Calais assess scientific research The overall benefit of project, and the scoring for being directly added three is nonsensical, because not can know that the effect of scientific research project so Beneficial ranking.Because the characteristic of standard scores is little in basis point more than fraction drop, but there will be larger below basis point Fraction drop, and the overall benefit in the basis point scientific research project indicated above is pretty good, indices balanced growth, if Because fraction drop is big below basis point, it is easier to be highlighted, enterprise is made to find in time and improves present situation.
The project grading module input and output to research staff's accounting, scientific research project in scientific research project personnel respectively Scoring than the intellectual property output of, scientific research project is weighted processing.
Add in negative-feedback item in the weighted term of the project grading module, negative-feedback item according to the rising scored in the past or Downward trend is adjusted.Each enterprise to this three to stress requirement different, it is necessary to be analyzed with reference to actual conditions, institute To need to be weighted scoring.If before this to occurring rising or falling in any scoring of three indexs of scientific research project Gesture, then negative-feedback item is to the trend counterproductive, and targetedly prominent influence of the weak tendency item to standard scores, reminds enterprise to manage Reason person notices the weakness in scientific research project, and is improved.
Assuming that research staff's accounting score a in scientific research project1, input-output ratio score a2And intellectual property output score a3 Weighted term be respectively, negative-feedback item by the sequential growth rate with a upper scientific research project and with upper one year The year-on-year growth rate of same time scientific research project is averagely drawn, is considered short-term and long term factor, is made the effect of negative-feedback item more Prominent, the scoring drawn is more reasonable, is more conducive to enterprise and makes correct decisions, and therefore, research staff's accounting is actual in scientific research project The actual score of score, input-output ratio and the actual score of intellectual property output are respectively And, whereinRespectively different indexs are compared to the sequential growth rate of a upper scientific research project Rate,Respectively different indexs are compared to the year-on-year growth rate of same time upper one year scientific research project.
The scientific research information statistical module further includes R & D Cost and collects unit, R & D Cost collect unit for it is unified not With the R & D Cost of Statistical Criteria.
For large group, the accounting bore of each subsidiary is all different, and is possibly used for not working together The accounting bore of the expense of item is also not quite similar, and brings extreme difficulties to the calculating of total R & D Cost, just needs research and development expense at this time Unify the R & D Cost of different Statistical Criterias with unit is collected, draw accurate R & D Cost sum.
The scientific research information enquiry module includes project information retrieval unit and relevant document retrieving unit.
Document retrieving unit is capable of providing the search inquiry function to all documents in system.
User can search for various different keywords, no according to keyword, uplink time, affiliated unit and affiliated stage Same uplink time, the different units and the document in different transaction phases.
The project information retrieval unit includes:
Condition selecting unit, for selecting to need the data type inquired about and information type to display;
Querying condition unit, for selecting query context;
The results show unit, for showing the information to be inquired about.
The specific operation workflow of project information retrieval unit is:
1st, the data type inquired about is needed in the selection of condition selecting unit first, such as set up the project year, carrier, professional domain Deng and information type to display, such as project number, project name, time started, end time;
2nd, the scope for the data then inquired about in querying condition Unit selection needs, such as:Project verification year is 2014-2016;It undertakes Unit is:A groups, B groups;Professional domain is:Fuel engine power generation technology, advanced energy technology;
3rd, the scope for the data type inquired about as needed is shown information type to display by final result display unit, Such as display:2014-2016 year Power Groups, Gas Group, professional domain is fuel engine power generation technology, advanced energy technology owns The project number of project, project name, time started, end time.
If need to refine query result again, the data class that other needs are inquired about can be chosen in condition selecting unit Type can carry out deep inquiry again after choosing;As query result there are other demands, such as expect that project category, funds are pre- The information such as calculation, can choose information type to display again in condition selecting unit, project will be shown in the results show unit The information such as classification, appropriation budget.
Statistical report form module includes:Information table unit, for being drawn the inquiry of required report data and forming form;Statistics Table unit, for generating statistical analysis figure according to report data.
The convenient disposable a large amount of satisfactory data of extraction of information table unit are into form, to carry out at next step Reason improves efficiency;The statistical analysis figure of statistics table unit generation improves Industrial Data Management convenient for intuitively analyzing data Analysis efficiency.
The statistical analysis figure includes grouping sheet, block diagram, cake chart and line chart isotype, and wherein grouping sheet is set It is as follows:
Grouping sheet can realize the statistical report form of various dimensions, multi objective, including selection area, statistical indicator, row gauge outfit, list head, sieve Option and query result area.
Area is selected to provide all items, funds, achievement, reward, the field of person related information, such as:Carrier stands Item year, item source, funds master budget, achievement type, reward classification etc..
Row gauge outfit:For setting statistical report form transverse direction content, field can be dragged in one's respective area in selection area, and most Three fields can only mostly be selected.First character section is the first row content of statistical form.Second field is the secondary series of statistical form Content, and be the subitem of first character section.Row are such as:Carrier, year are selected from elder generation of selection area rear dragging, then the table sample realized is such as Under:
List head:For setting the content of statistical report form each column, field can be dragged in one's respective area in selection area, and at most It can only select three fields.It is shown successively in report according to dilatory order.Such as it draws content in list head and is:Project is come Source, innovation area, the then table sample realized are as follows:
Statistical indicator:For setting the statistical content of statistical report form, the field that can will be counted in selection area is dragged to one's respective area It is interior, and can only at most select three fields.Such as statistical indicator content is:Funds master budget, funds total expenditure, then realize Effect is as follows:
Screen item:The main screening conditions that statistics is set, and there is no in row gauge outfit, list head, statistical indicator region Field.Such as sieve option content is:Related product, then user can pass through the information of related product reduce data area.
The setting of block diagram is as follows:
Block diagram mainly generates column diagram according to report data, embodies between the distribution situation of data and data and compares as far as possible Situation.Block diagram is divided into four pieces, selects field, longitudinal axis value, transverse axis value, screening item, statistical chart.
Longitudinal axis value:The meaning of the numerical value of main setting block diagram, such as:Funds master budget, funds total expenditure.
Transverse axis value:The numerical value of the transverse axis of main setting block diagram, such as:Carrier.
Screen item:It is main that screening conditions is set to be inquired about, such as screen item and be:Year, and selected 2015- 2016.Funds master budget, the funds of 2015 to 2016 each carriers will be counted according to the above condition statistical chart The block diagram of total expenditure.
The setting of cake chart is as follows:
Cake chart mainly generates pie chart according to report data, reflects the distribution situation of data.
Numerical value:The meaning of the numerical value of main setting cake chart, such as:Funds master budget.
Classification:The main column that cake chart is set, such as:Carrier.
Screen item:It is main that screening conditions is set to be inquired about, such as screen item and be:Year, and selected 2015- 2016.The funds master budget for counting 2015 to 2016 each carriers is distributed by feelings according to the above condition statistical chart Condition.
The setting of line chart is as follows:
Line chart mainly generates line chart according to report data, reflects the trend of data movement.
Longitudinal axis value:The meaning of the numerical value of main setting line chart, such as:Funds master budget, funds total expenditure.
Transverse axis value:The main transverse axis numerical value that line chart is set, such as:Year.
Screen item:It is main that screening conditions is set to be inquired about, such as screen item and be:Item source, and selected group Project.Funds master budget, the funds total expenditure tendency chart of annual group's project will be counted according to the above condition statistical chart.

Claims (10)

1. a kind of scientific research information statistic management system, which is characterized in that including:
Scientific research information statistical module, for providing and the relevant report data of scientific and technological achievement;
Scientific research benefit evaluation module, for the benefit of assessment technique;
Scientific research information enquiry module, for inquiring about and the relevant information of scientific research project and document;
Statistical report form module, for forming report according to report data.
A kind of 2. scientific research information statistic management system according to claim 1, which is characterized in that the scientific research benefit evaluation Module is produced according to research staff's accounting, the input of scientific research project and output, the intellectual property of scientific research project in scientific research project personnel Out evaluate the benefit of scientific research project.
A kind of 3. scientific research information statistic management system according to claim 2, which is characterized in that the scientific research benefit evaluation Module includes project grading module, and project grading module is used for respectively to research staff's accounting, scientific research item in scientific research project personnel Purpose input-output ratio, the intellectual property output of scientific research project score.
A kind of 4. scientific research information statistic management system according to claim 3, which is characterized in that the scientific research benefit evaluation Module further includes standard scores conversion module, after project grading module is scored each scientific research project, standard scores conversion mould Block is used to respectively change the research staff's accounting score, input-output ratio score, intellectual property output score of each scientific research project It calculates as standard scores.
A kind of 5. scientific research information statistic management system according to claim 3, which is characterized in that the project grading module Respectively to the intellectual property output of research staff's accounting, the input-output ratio of scientific research project, scientific research project in scientific research project personnel Scoring be weighted processing.
6. a kind of scientific research information statistic management system according to claim 5, which is characterized in that in project scoring mould Negative-feedback item is added in the weighted term of block, negative-feedback item is adjusted according to the trend that rises or falls to score in the past.
A kind of 7. scientific research information statistic management system according to claim 1, which is characterized in that the scientific research information statistics Module further includes R & D Cost and collects unit, and R & D Cost collects R & D Cost of the unit for unified different Statistical Criterias.
8. according to a kind of scientific research information statistic management system of claim 1 any one of them, which is characterized in that the scientific research letter Ceasing enquiry module includes project information retrieval unit and relevant document retrieving unit.
A kind of 9. scientific research information statistic management system according to claim 1, which is characterized in that the project information retrieval Unit includes:
Condition selecting unit, for selecting to need the data type inquired about and information type to display;
Querying condition unit, for selecting query context;
The results show unit, for showing the information to be inquired about.
A kind of 10. scientific research information statistic management system according to claim 1, which is characterized in that statistical report form module bag It includes:Information table unit, for being drawn the inquiry of required report data and forming form;Table unit is counted, for according to report number According to generation statistical analysis figure.
CN201711270425.4A 2017-12-05 2017-12-05 A kind of scientific research information statistic management system Pending CN108053103A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711270425.4A CN108053103A (en) 2017-12-05 2017-12-05 A kind of scientific research information statistic management system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711270425.4A CN108053103A (en) 2017-12-05 2017-12-05 A kind of scientific research information statistic management system

Publications (1)

Publication Number Publication Date
CN108053103A true CN108053103A (en) 2018-05-18

Family

ID=62122230

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711270425.4A Pending CN108053103A (en) 2017-12-05 2017-12-05 A kind of scientific research information statistic management system

Country Status (1)

Country Link
CN (1) CN108053103A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109165377A (en) * 2018-06-11 2019-01-08 玖富金科控股集团有限责任公司 Generate the method and tabulating equipment of form data
CN113298399A (en) * 2021-05-31 2021-08-24 西南大学 Scientific research project analysis method based on big data

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104050545A (en) * 2014-07-04 2014-09-17 复旦大学附属眼耳鼻喉科医院 Scientific research teaching management information system
CN104200325A (en) * 2014-09-05 2014-12-10 新汶矿业集团有限责任公司 Management system and method of enterprise technology center
US20160269438A1 (en) * 2014-05-06 2016-09-15 Synack, Inc. Computer system for distributed discovery of vulnerabilities in applications

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160269438A1 (en) * 2014-05-06 2016-09-15 Synack, Inc. Computer system for distributed discovery of vulnerabilities in applications
CN104050545A (en) * 2014-07-04 2014-09-17 复旦大学附属眼耳鼻喉科医院 Scientific research teaching management information system
CN104200325A (en) * 2014-09-05 2014-12-10 新汶矿业集团有限责任公司 Management system and method of enterprise technology center

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109165377A (en) * 2018-06-11 2019-01-08 玖富金科控股集团有限责任公司 Generate the method and tabulating equipment of form data
CN113298399A (en) * 2021-05-31 2021-08-24 西南大学 Scientific research project analysis method based on big data

Similar Documents

Publication Publication Date Title
Yang et al. Analysis of the trend in the knowledge of environmental responsibility research
Feng et al. Performance evaluation for airlines including the consideration of financial ratios
CN104199830B (en) Search engine optimization big data management method
Liu et al. Key indices of the remanufacturing industry in China using a combined method of grey incidence analysis and grey clustering
CN102779143A (en) Visualizing method for knowledge genealogy
CN115018453B (en) Automatic post talent portrait generation method
Hong et al. Structural changes and growth factors of the ICT industry in Korea: 1995–2009
CN109377049A (en) A kind of " industry-industry-enterprise " whole process development zone industrial selection method
CN106611016B (en) A kind of image search method based on decomposable word packet model
CN105260849A (en) Scientific researcher evaluation method across social networks
CN108053103A (en) A kind of scientific research information statistic management system
CN106169032A (en) A kind of computational methods of industry cluster Innovation Index
CN106980639B (en) Short text data aggregation system and method
CN103971000A (en) Industrial park agglomeration degree quantitative evaluation method based on multiple indicators
CN105447633A (en) Scientific research institution integration evaluation method and system thereof
CN115099678A (en) AI-based enterprise financial analysis and diagnosis system, method, device and medium
CN110322166A (en) A kind of control method and system towards business administration dimension
Chang Tracking scientometric research in Taiwan using bibliometric and content analysis
KR101264898B1 (en) Apparatus and method for extracting prospective business items from information of technology and market trends
CN106485466A (en) A kind of project management system
JP2001028018A (en) Method for evaluating circulation value of right and device used for the method
CN106611339A (en) Seed user screening method, and method and apparatus for evaluating user influence of product
CN109544337A (en) A kind of equity estimation method
CN109101631A (en) Data Modeling Method and device
CN106909691A (en) A kind of efficient revenue data analysis method based on caching

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180518