CN105447633A - Scientific research institution integration evaluation method and system thereof - Google Patents
Scientific research institution integration evaluation method and system thereof Download PDFInfo
- Publication number
- CN105447633A CN105447633A CN201510789785.XA CN201510789785A CN105447633A CN 105447633 A CN105447633 A CN 105447633A CN 201510789785 A CN201510789785 A CN 201510789785A CN 105447633 A CN105447633 A CN 105447633A
- Authority
- CN
- China
- Prior art keywords
- scientific research
- target
- research institution
- index
- metadata
- 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
Links
- 238000011160 research Methods 0.000 title claims abstract description 163
- 238000011156 evaluation Methods 0.000 title claims abstract description 104
- 230000010354 integration Effects 0.000 title 1
- 238000000034 method Methods 0.000 claims abstract description 10
- 238000000605 extraction Methods 0.000 claims abstract description 4
- 238000004458 analytical method Methods 0.000 claims description 17
- 230000007306 turnover Effects 0.000 description 3
- 238000012552 review Methods 0.000 description 2
- 238000013077 scoring method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000012854 evaluation process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
本发明涉及一种科研机构综合评价方法及系统，其中方法包括：采集多个科研机构的属性信息，根据属性信息对多个科研机构进行分类；根据科研机构所属的类别，确定科研机构的多个指标元数据；根据多个指标元数据，生成科研机构所属的类别对应的指标体系；确定用户查询的目标科研机构所属的目标类别；根据目标类别对应的目标指标体系对目标科研机构做出评价分析，得出评价结果。所述系统包括采集分类模块、指标元数据提取模块、指标体系建立模块、科研机构评价模块。通过本发明提供的方法及系统对科研机构进行评价时，由于针对不同类别的科研机构，是采用各自对应的指标体系来对其进行评价，提高了评价结果的可靠性、准确度。
The invention relates to a method and system for comprehensive evaluation of scientific research institutions, wherein the method includes: collecting attribute information of multiple scientific research institutions, classifying the multiple scientific research institutions according to the attribute information; Index metadata; generate an index system corresponding to the category of the scientific research institution based on multiple index metadata; determine the target category of the target scientific research institution queried by the user; evaluate and analyze the target scientific research institution according to the target index system corresponding to the target category , to get the evaluation result. The system includes a collection and classification module, an index metadata extraction module, an index system establishment module, and a scientific research institution evaluation module. When evaluating scientific research institutions through the method and system provided by the present invention, since different types of scientific research institutions are evaluated using their corresponding index systems, the reliability and accuracy of the evaluation results are improved.
Description
技术领域technical field
本发明涉及科研机构评价技术领域，具体涉及一种科研机构综合评价方法及系统。The invention relates to the technical field of evaluation of scientific research institutions, in particular to a comprehensive evaluation method and system for scientific research institutions.
背景技术Background technique
科研机构是科技创新活动的主体，科研机构的选取，对国家与地方实施自主创新战略具有重要意义。为及时了解各个科研机构的情况，有必要建立一套科研机构评价系统，实现对科研机构的评价工作，使用户有限的资金和资源得到充分利用。Scientific research institutions are the main body of scientific and technological innovation activities, and the selection of scientific research institutions is of great significance to the national and local implementation of independent innovation strategies. In order to keep abreast of the situation of various scientific research institutions, it is necessary to establish a scientific research institution evaluation system to realize the evaluation of scientific research institutions and make full use of the limited funds and resources of users.
传统的科研机构评价系统一般采用单一指标元数据对科研机构进行评价，如针对高校类型的科研机构，通过其发表的代表性学术论文总数、学术论文被引用的总次数的集合，得到该高校的评价结果。传统的通过单一指标元数据得到评价结果的科研机构评价系统，考虑的因素较为单一，无法合理、可靠的评价科研机构。The traditional evaluation system of scientific research institutions generally uses a single index metadata to evaluate scientific research institutions. For example, for scientific research institutions of the university type, through the collection of the total number of representative academic papers published and the total number of citations of academic papers, the university’s Evaluation results. The traditional evaluation system of scientific research institutions, which obtains evaluation results through single index metadata, considers a single factor and cannot evaluate scientific research institutions reasonably and reliably.
随着科研机构评价系统的不断完善，也出现了通过设置多个指标元数据来实现对科研机构的评价的系统，但现有的评价系统均采用同一指标体系、设置同样的指标元数据来对不同类别的科研机构进行评价，如针对高校和企业这两种科研机构，采用同样的研发人员指标“发表的论文数”作为评价的指标元数据之一，这对企业来说，其评价结果若是等级或者排名等，均明显有失公平，造成评价结果不准确；另外，如指标“进入排行的学科数”，由于该指标元数据可以用于评价高校，却不能用于评价企业，若将该指标元数据作为评价的指标元数据之一对企业和高校统一进行评价，则也会导致评价结果不准确。With the continuous improvement of the evaluation system of scientific research institutions, there have also been systems that evaluate scientific research institutions by setting multiple index metadata, but the existing evaluation systems all use the same index system and set the same index metadata to evaluate scientific research institutions. Different types of scientific research institutions are evaluated. For example, for two scientific research institutions, universities and enterprises, the same R&D personnel indicator "number of published papers" is used as one of the evaluation index metadata. For enterprises, the evaluation results are Grades or rankings, etc., are obviously unfair, resulting in inaccurate evaluation results; in addition, as the index "number of disciplines entered the ranking", since the metadata of this index can be used to evaluate universities, but not used to evaluate enterprises, if the index If index metadata is used as one of the evaluation index metadata to evaluate enterprises and universities uniformly, it will also lead to inaccurate evaluation results.
发明内容Contents of the invention
本发明提供一种科研机构综合评价方法和系统，以解决现有技术中采用同一指标体系来对不同类别的科研机构进行评价，导致评价结果不可靠、准确度低的问题。The present invention provides a comprehensive evaluation method and system for scientific research institutions to solve the problem in the prior art that the same index system is used to evaluate different types of scientific research institutions, resulting in unreliable evaluation results and low accuracy.
为此目的，本发明提出了以下技术方案。To this end, the present invention proposes the following technical solutions.
一方面，本发明提供一种科研机构综合评价方法，包括：On the one hand, the present invention provides a comprehensive evaluation method for scientific research institutions, including:
S1，采集多个科研机构的属性信息，根据所述属性信息对所述多个科研机构进行分类；S1. Collect attribute information of multiple scientific research institutions, and classify the multiple scientific research institutions according to the attribute information;
S2，根据科研机构所属的类别，确定科研机构的多个指标元数据；S2, according to the category to which the scientific research institution belongs, determine multiple indicator metadata of the scientific research institution;
S3，根据所述多个指标元数据，生成科研机构所属的类别对应的指标体系；S3. Generate an index system corresponding to the category to which the scientific research institution belongs according to the plurality of index metadata;
S4，确定用户查询的目标科研机构所属的目标类别；S4, determining the target category to which the target scientific research institution queried by the user belongs;
S5，根据所述目标类别对应的目标指标体系对所述目标科研机构做出评价分析，得出评价结果。S5. Perform evaluation and analysis on the target scientific research institution according to the target index system corresponding to the target category, and obtain an evaluation result.
优选地，所述步骤S2还包括：设置各指标元数据的权重；Preferably, the step S2 further includes: setting the weight of each index metadata;
此时，所述步骤S3包括：At this point, the step S3 includes:
根据所述多个指标元数据和每个指标元数据的权重，生成科研机构所属的类别对应的指标体系。According to the multiple index metadata and the weight of each index metadata, an index system corresponding to the category to which the scientific research institution belongs is generated.
可选地，所述评价结果为所述目标科研机构的评分，则所述步骤S5包括：Optionally, the evaluation result is the score of the target scientific research institution, then the step S5 includes:
根据所述目标指标体系中的每个目标指标元数据和对应的权重计算每个目标指标元数据的得分，根据所述目标指标体系中所有目标指标元数据的得分之和得到所述评分。The score of each target indicator metadata is calculated according to each target indicator metadata in the target indicator system and the corresponding weight, and the score is obtained according to the sum of scores of all target indicator metadata in the target indicator system.
可选地，所述评价结果为所述目标科研机构的评语，则所述步骤S5包括：Optionally, the evaluation result is the comment of the target scientific research institution, then the step S5 includes:
根据所述目标指标体系中的每个目标指标元数据生成相应的评价，根据每个目标指标元数据对应的权重对每个评价进行排列以生成所述评语。A corresponding evaluation is generated according to each target index metadata in the target index system, and each evaluation is arranged according to the weight corresponding to each target index metadata to generate the comment.
优选地，当所述目标科研机构为多个时，所述步骤S5包括：Preferably, when there are multiple target scientific research institutions, the step S5 includes:
根据各目标科研机构所属的目标类别，对所述多个目标科研机构进行分类；Classifying the multiple target scientific research institutions according to the target category to which each target scientific research institution belongs;
根据每类科研机构对应的指标体系分别对相应类的科研机构进行评价分析，并分别得出评价结果。According to the index system corresponding to each type of scientific research institutions, the corresponding scientific research institutions are evaluated and analyzed, and the evaluation results are obtained respectively.
另一方面，本发明还提供一种科研机构综合评价系统，包括：On the other hand, the present invention also provides a comprehensive evaluation system for scientific research institutions, including:
采集分类模块，用于采集多个科研机构的属性信息，并根据所述属性信息对所述多个科研机构进行分类，以及采集用户查询的目标科研机构，并确定所述目标科研机构所属的目标类别；The collection and classification module is used to collect attribute information of multiple scientific research institutions, classify the multiple scientific research institutions according to the attribute information, collect target scientific research institutions queried by users, and determine the target to which the target scientific research institutions belong category;
指标元数据提取模块，用于提取各科研机构所属的类别对应的指标元数据；The index metadata extraction module is used to extract the index metadata corresponding to the category to which each scientific research institution belongs;
指标体系建立模块，用于建立科研机构所属的类别对应的指标体系；The indicator system building module is used to establish the indicator system corresponding to the category to which the scientific research institution belongs;
科研机构评价模块，包括指标体系选取子模块和评价分析子模块；所述指标体系选取子模块用于根据所述目标科研机构的目标类别，选择所述目标类别对应的目标指标体系；所述评价分析子模块用于利用所述目标指标体系对目标科研机构进行评价分析，得出评价结果。The scientific research institution evaluation module includes an index system selection sub-module and an evaluation analysis sub-module; the index system selection sub-module is used to select the target index system corresponding to the target category according to the target category of the target scientific research institution; the evaluation The analysis sub-module is used to evaluate and analyze the target scientific research institution by using the target index system, and obtain the evaluation result.
优选地，所述科研机构综合评价系统还包括指标元数据权重设置模块，用于设置各指标元数据的权重；此时，所述指标体系建立模块用于根据所述多个指标元数据以及各指标元数据的权重，建立科研机构所属的类别对应的指标体系。Preferably, the comprehensive evaluation system for scientific research institutions further includes an indicator metadata weight setting module, which is used to set the weight of each indicator metadata; at this time, the indicator system establishment module is used to The weight of the metadata of the indicator establishes an indicator system corresponding to the category to which the scientific research institution belongs.
可选地，所述评价分析子模块用于根据目标体系中的每个目标指标元数据和对应的权重计算每个目标指标元数据的得分，再根据所述目标指标体系中所有目标指标元数据的得分之和得到最终评分。Optionally, the evaluation analysis sub-module is used to calculate the score of each target indicator metadata according to each target indicator metadata in the target system and the corresponding weight, and then according to all target indicator metadata in the target indicator system The sum of the scores is the final score.
可选地，所述评价分析子模块用于根据目标体系中的每个目标指标元数据生成对应的评价，再根据每个目标指标元数据对应的权重对每个评价进行排列，生成最终评语。Optionally, the evaluation analysis sub-module is used to generate corresponding evaluations according to the metadata of each target index in the target system, and then arrange each evaluation according to the weight corresponding to each target index metadata to generate a final evaluation.
优选地，所述采集分类模块还用于对用户查询的多个目标科研机构，根据所属的目标类别，对所述多个目标科研机构进行分类。Preferably, the collection and classification module is further configured to classify the multiple target scientific research institutions queried by the user according to their target categories.
本发明的有益效果为：The beneficial effects of the present invention are:
本发明提供的科研机构综合评价方法及系统，针对不同类别的科研机构，采用各自对应的指标体系来对其进行评价，使得评价结果更加合理，提高了评价结果的可靠性和准确度；The method and system for comprehensive evaluation of scientific research institutions provided by the present invention use their corresponding index systems to evaluate different types of scientific research institutions, making the evaluation results more reasonable and improving the reliability and accuracy of the evaluation results;
由于各指标体系中均设置了多个指标元数据，使得评价结果更加全面；Since multiple index metadata are set in each index system, the evaluation results are more comprehensive;
通过对指标体系中的各个指标元数据设置权重，能提高评价结果的科学性、合理性；By setting the weight of each index metadata in the index system, the scientificity and rationality of the evaluation results can be improved;
当用户查询的科研机构有多个时，通过对该多个科研机构进行分类，再分别进行评价，得出分类的评价结果，对于每个类别中的科研机构评价更为准确且直观，便于用户进行分析比对。When there are multiple scientific research institutions inquired by the user, by classifying the multiple scientific research institutions and then evaluating them separately, the classified evaluation results are obtained. The evaluation of scientific research institutions in each category is more accurate and intuitive, which is convenient for users Analyze and compare.
附图说明Description of drawings
通过参考附图会更加清楚的理解本发明的特征和优点，附图是示意性的而不应理解为对本发明进行任何限制，在附图中：The features and advantages of the present invention will be more clearly understood by referring to the accompanying drawings, which are schematic and should not be construed as limiting the invention in any way. In the accompanying drawings:
图1示出了本发明科研机构综合评价方法的流程图；Fig. 1 shows the flowchart of the comprehensive evaluation method for scientific research institutions of the present invention;
图2示出了本发明科研机构综合评价系统的原理图。Fig. 2 shows a schematic diagram of the comprehensive evaluation system for scientific research institutions of the present invention.
具体实施方式detailed description
下面将结合附图对本发明的实施例进行详细描述。Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
图1为本发明提供的科研机构综合评价方法的流程图，如图1所示，该科研机构综合评价方法包括：Fig. 1 is the flowchart of the comprehensive evaluation method for scientific research institutions provided by the present invention, as shown in Fig. 1, the comprehensive evaluation method for scientific research institutions comprises:
S1，采集多个科研机构的属性信息，根据属性信息对多个科研机构进行分类；S1, collect the attribute information of multiple scientific research institutions, and classify the multiple scientific research institutions according to the attribute information;
S2，根据科研机构所属的类别，确定科研机构的多个指标元数据；S2, according to the category to which the scientific research institution belongs, determine multiple indicator metadata of the scientific research institution;
S3，根据多个指标元数据，生成科研机构所属的类别对应的指标体系；S3, according to multiple indicator metadata, generate an indicator system corresponding to the category to which the scientific research institution belongs;
S4，确定用户查询的目标科研机构所属的目标类别；S4, determining the target category to which the target scientific research institution queried by the user belongs;
S5，根据所述目标类别对应的目标指标体系对所述目标科研机构做出评价分析，得出评价结果。S5. Perform evaluation and analysis on the target scientific research institution according to the target index system corresponding to the target category, and obtain an evaluation result.
上述步骤S1中，属性信息包括：科研机构的名称、性质、职能等。对科研机构进行分类后包括但不限于以下类别：企业、高校和科研院所。In the above step S1, the attribute information includes: the name, nature, function, etc. of the scientific research institution. The classification of scientific research institutions includes but is not limited to the following categories: enterprises, universities and research institutes.
上述步骤S2中，由于每个类别的科研机构对应的指标元数据有所差异，用于评价高校的指标元数据不一定适用于评价企业，例如与高校相关的指标元数据“进入排行的学科数”，不适于用来评价企业的科研机构，而与企业相关的指标元数据“季度营业额”，不适于评价高校的科研机构，因此，需针对科研机构所属的类别，来确定科研机构所属的类别对应的指标元数据。指标元数据中的具体数据可以通过预先采集文献数据库，如中国知网、万方数据库等获得。In the above step S2, due to the differences in the index metadata corresponding to each category of scientific research institutions, the index metadata used to evaluate universities may not be applicable to the evaluation of enterprises. ", is not suitable for evaluating scientific research institutions of enterprises, and the metadata "quarterly turnover" related to enterprises is not suitable for evaluating scientific research institutions of universities. Therefore, it is necessary to determine the category of scientific research institutions to which they belong. Metric metadata corresponding to the category. The specific data in the indicator metadata can be obtained by pre-collecting literature databases, such as CNKI and Wanfang database.
上述步骤S3中，不同类别的科研机构，所对应的指标体系也不同。作为一种实施例，本发明针对用于评价高校的指标体系进行详细描述。具体见表一。In the above step S3, different types of scientific research institutions correspond to different index systems. As an embodiment, the present invention describes in detail the index system used to evaluate colleges and universities. See Table 1 for details.
表一用于评价高校的指标体系Table 1 Index system used to evaluate colleges and universities
表一中高校的指标体系分为三层结构，包括：用于评价的一级指标、二级指标和三级指标，其中，一级指标是总的概括，二级指标是一级指标的细化，三级指标是对二级指标的进一步细化。The index system of colleges and universities in Table 1 is divided into three layers, including: first-level indicators, second-level indicators and third-level indicators for evaluation. Among them, the first-level indicators are the general summary, and the second-level indicators are the details of the first-level indicators. The third-level indicators are the further refinement of the second-level indicators.
为了提高评价结果的科学性、合理性，优选地，上述步骤S2还包括：设置各指标元数据的权重，此时，所述步骤S3包括：根据所述多个指标元数据和每个指标元数据的权重，生成科研机构所属的类别对应的指标体系。通过设置每个指标元数据的权重，以区别每个指标元数据在整体评价过程中的相对重要程度，能使得对科研机构的评价结果更加科学性、合理性。In order to improve the scientificity and rationality of the evaluation results, preferably, the above step S2 further includes: setting the weight of each index metadata, at this time, the step S3 includes: according to the plurality of index metadata and each index element The weight of the data generates an index system corresponding to the category to which the scientific research institution belongs. By setting the weight of each index metadata to distinguish the relative importance of each index metadata in the overall evaluation process, the evaluation results of scientific research institutions can be made more scientific and reasonable.
根据实际需求，上述步骤S5中的评价结果可以是目标科研机构的具体评分，当然，也可以采用评语的方式展现评价结果。According to actual needs, the evaluation result in the above step S5 may be a specific score of the target scientific research institution, and of course, the evaluation result may also be presented in the form of comments.
当步骤S5中的评价结果为具体评分时，步骤S5具体为：根据目标指标体系中的每个目标指标元数据和对应的权重计算每个目标指标元数据的得分，再根据目标指标体系中所有目标指标元数据的得分之和得到最终评分。When the evaluation result in step S5 is a specific score, step S5 is specifically: calculate the score of each target index metadata according to the target index metadata and the corresponding weight in the target index system, and then calculate the score of each target index metadata according to the target index system. The sum of the scores of the target indicator metadata obtains the final score.
例如对于两所高校科研机构A和B，其指标元数据包括科研实验室属性，对应的权重为10，科研人员数量，对应的权重为9，论文发表数，对应的权重为8。评分方式可以是，当上述指标元数据达到一定标准时，在评分中加上与权重相同的分值。For example, for two university scientific research institutions A and B, the index metadata includes scientific research laboratory attributes, the corresponding weight is 10, the number of scientific researchers, the corresponding weight is 9, and the number of papers published, the corresponding weight is 8. The scoring method may be that when the above-mentioned indicator metadata reaches a certain standard, a score equal to the weight is added to the scoring.
例如对于科研实验室属性，若包含省级或部级以及以上的科研实验室，那么可以判定达到得分标准；对于科研人员数量，若包含50人以上可以判定达到得分标准；对于论文发表数，若达到100篇以上，那么可以判定达到得分标准。For example, for the scientific research laboratory attribute, if it includes scientific research laboratories at the provincial or ministerial level or above, then it can be judged that the scoring standard has been met; for the number of scientific research personnel, if it includes more than 50 people, it can be judged that the scoring standard has been met; for the number of papers published, if If there are more than 100 articles, then it can be determined that the scoring standard has been met.
对于科研机构A，其包含省级或部级以及以上的科研实验室，科研人员数量为36人，论文发表数为110篇；对于研究机构B，其包含省级或部级以及以上的科研实验室，研究人员数量为66人，论文发表数为77篇。从而可以得出对于科研机构A的评分为10+0+8＝18，科研机构B的评分为10+9+0＝19。For scientific research institution A, it includes scientific research laboratories at the provincial or ministerial level and above, with 36 scientific researchers and 110 papers published; for research institution B, it includes scientific research laboratories at the provincial or ministerial level and above The number of researchers is 66, and the number of papers published is 77. Therefore, it can be obtained that the score of scientific research institution A is 10+0+8=18, and the score of scientific research institution B is 10+9+0=19.
当然除了上述评分方式，也可以针对一个指标元数据下具体的指标元数据分别设置权重，例如对于科研实验室属性，国家重点实验室的权重为10，教育部重点实验室的权重为9，省重点实验室的权重为8，从而对于科研机构可以做出更加细致和准确的评分。Of course, in addition to the above scoring methods, weights can also be set for specific indicator metadata under an indicator metadata. The weight of key laboratories is 8, so that more detailed and accurate scores can be made for scientific research institutions.
当步骤S5中的评价结果为目标科研机构的评语时，步骤S5具体为：根据目标指标体系中的每个目标指标元数据生成相应的评价，根据每个目标指标元数据对应的权重对每个评价进行排列以生成详细评语。When the evaluation result in step S5 is the comment of the target scientific research institution, step S5 is specifically: generate a corresponding evaluation according to the metadata of each target index in the target index system, and evaluate each target according to the weight corresponding to the metadata of each target index Reviews are ranked to generate detailed reviews.
例如对于企业科研机构评语包括：知名度，权重为10，年度营业额，权重为9，公司规模，权重为8，那么在做出评语时，可以将评价知名度的语段放在最前，其次放置评价年度营业额的语段，再次放置评价公司规模的语段。便于用户最先看到权重最大(最重要)的评语。For example, the comments of a scientific research institution of an enterprise include: popularity, with a weight of 10, annual turnover, with a weight of 9, and company size, with a weight of 8, then when making a comment, you can put the phrase that evaluates the popularity first, followed by the evaluation For the segment of annual turnover, place the segment for evaluating the size of the company again. It is convenient for users to see the comments with the highest weight (most important) first.
当用户查询的目标科研机构为多个时，评价结果可以根据用户查询的多个目标科研机构的排列顺序逐个展现，当然，作为优选的方式，还可以先对用户查询的多个目标科研机构根据其目标类别进行分类，具体的，上述步骤S5包括：When there are multiple target scientific research institutions queried by the user, the evaluation results can be displayed one by one according to the arrangement order of the multiple target scientific research institutions queried by the user. The target category is classified, specifically, the above step S5 includes:
根据各目标科研机构所属的目标类别，对用户查询的多个目标科研机构进行分类；According to the target category to which each target scientific research institution belongs, classify multiple target scientific research institutions queried by the user;
根据每类科研机构对应的指标体系分别对相应类的科研机构进行评价分析，并分别得出评价结果。According to the index system corresponding to each type of scientific research institutions, the corresponding scientific research institutions are evaluated and analyzed, and the evaluation results are obtained respectively.
通过分类，能得出分类的评价结果，直观性强，便于用户分类对比。如当用户查询的科研机构有十二个：三个高校、四个企业、五个科研院所。此时，先对该十二个科研机构进行分类，即三个高校、四个企业、五个科研院所，再分别通过高校相对应的高校指标体系对该三个高校进行评价分析，通过企业相对应的企业指标体系对该四个企业进行评价分析，通过科研院所相对应的科研院所指标体系对该四个科研院所进行评价分析，最后，评价结果以三个表格的方式呈现，分别为高校评价结果、企业评价结果、科研院所评价结果，直观性强，且方便用户对其查询的三个高校等同类别的科研机构的评价结果进行对比。Through the classification, the evaluation results of the classification can be obtained, which is intuitive and convenient for users to compare and classify. For example, there are 12 scientific research institutions inquired by the user: three universities, four enterprises, and five scientific research institutes. At this time, first classify the twelve scientific research institutions, that is, three universities, four enterprises, and five research institutes, and then evaluate and analyze the three universities through the university index system corresponding to the universities. The corresponding enterprise index system evaluates and analyzes the four enterprises, and the four scientific research institutes are evaluated and analyzed through the corresponding scientific research institute index system. Finally, the evaluation results are presented in three tables. They are the evaluation results of universities, enterprises, and scientific research institutes respectively, which are highly intuitive and convenient for users to compare the evaluation results of the three universities and scientific research institutions of the same category that they inquire.
如图2所示，本发明还提供一种科研机构综合评价系统，包括：As shown in Figure 2, the present invention also provides a comprehensive evaluation system for scientific research institutions, including:
采集分类模块，用于采集多个科研机构的属性信息，并根据属性信息对多个科研机构进行分类；以及用于采集用户查询的目标科研机构，并确定目标科研机构所属的目标类别；The collection and classification module is used to collect attribute information of multiple scientific research institutions, and classify multiple scientific research institutions according to the attribute information; and is used to collect target scientific research institutions queried by users, and determine the target category to which the target scientific research institutions belong;
指标元数据提取模块，用于提取各科研机构所属的类别对应的指标元数据；The index metadata extraction module is used to extract the index metadata corresponding to the category to which each scientific research institution belongs;
指标体系建立模块，用于建立科研机构所属的类别对应的指标体系；The indicator system building module is used to establish the indicator system corresponding to the category to which the scientific research institution belongs;
科研机构评价模块，包括指标体系选取子模块和评价分析子模块。其中，指标体系选取子模块用于根据目标科研机构的目标类别，选择目标类别对应的目标指标体系；评价分析子模块用于利用目标指标体系对目标科研机构进行评价分析，得出评价结果。The scientific research institution evaluation module includes the index system selection sub-module and the evaluation analysis sub-module. Among them, the index system selection sub-module is used to select the target index system corresponding to the target category according to the target category of the target scientific research institution; the evaluation analysis sub-module is used to evaluate and analyze the target scientific research institution by using the target indicator system to obtain the evaluation results.
优选地，科研机构综合评价系统还包括指标元数据权重设置模块，用于设置各指标元数据的权重。此时，上述指标体系建立模块用于根据多个指标元数据以及各指标元数据的权重，建立科研机构所属的类别对应的指标体系。Preferably, the comprehensive evaluation system for scientific research institutions further includes an indicator metadata weight setting module, which is used to set the weight of each indicator metadata. At this time, the above-mentioned index system establishment module is used to establish an index system corresponding to the category to which the scientific research institution belongs according to multiple index metadata and the weight of each index metadata.
可选地，当评价结果为具体得分时，评价分析子模块用于根据目标体系中的每个目标指标元数据和对应的权重计算每个目标指标元数据的得分，再根据目标指标体系中所有目标指标元数据的得分之和得到最终评分。Optionally, when the evaluation result is a specific score, the evaluation and analysis sub-module is used to calculate the score of each target index metadata according to the metadata of each target index in the target system and the corresponding weight, and then according to all The sum of the scores of the target indicator metadata obtains the final score.
可选地，当评价结果为评语时，评价分析子模块用于根据目标体系中的每个目标指标元数据生成对应的评价，再根据每个目标指标元数据对应的权重对每个评价进行排列，生成最终评语。Optionally, when the evaluation result is a comment, the evaluation analysis sub-module is used to generate a corresponding evaluation according to the metadata of each target index in the target system, and then arrange each evaluation according to the weight corresponding to each target index metadata , to generate the final comment.
当用户查询的科研机构有多个时，优选地，采集分类模块还用于对用户查询的多个目标科研机构，根据所属的目标类别，对多个目标科研机构进行分类。When there are multiple scientific research institutions queried by the user, preferably, the collection and classification module is also used to classify the multiple target scientific research institutions queried by the user according to their target categories.
虽然结合附图描述了本发明的实施方式，但是本领域技术人员可以在不脱离本发明的精神和范围的情况下做出各种修改和变型，这样的修改和变型均落入由所附权利要求所限定的范围之内。Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention. within the bounds of the requirements.
Claims (10)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510789785.XA CN105447633A (en) | 2015-11-17 | 2015-11-17 | Scientific research institution integration evaluation method and system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510789785.XA CN105447633A (en) | 2015-11-17 | 2015-11-17 | Scientific research institution integration evaluation method and system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105447633A true CN105447633A (en) | 2016-03-30 |
Family
ID=55557781
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510789785.XA Pending CN105447633A (en) | 2015-11-17 | 2015-11-17 | Scientific research institution integration evaluation method and system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105447633A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295962A (en) * | 2016-07-28 | 2017-01-04 | 中国农业大学 | Personnel evaluation model generating method and device |
| CN107563119A (en) * | 2017-09-11 | 2018-01-09 | 合肥工业大学 | Suitable for the QoS evaluating method and device of multidisciplinary minimally-invasive treatment |
| CN108629489A (en) * | 2018-04-12 | 2018-10-09 | 科技部科技评估中心 | The computational methods of scientific research institution's technical research forward position index towards cutting edge technology |
| CN109299892A (en) * | 2018-08-22 | 2019-02-01 | 中国平安人寿保险股份有限公司 | A kind of recommended method of logistics channel, storage medium and server |
| CN110210735A (en) * | 2019-05-21 | 2019-09-06 | 上海软科教育信息咨询有限公司 | Department's merit rating system, method, terminal and medium suitable for unit of running a school |
| CN111723119A (en) * | 2019-03-18 | 2020-09-29 | 北京京东尚科信息技术有限公司 | A screening method and device, and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268720A (en) * | 2014-10-17 | 2015-01-07 | 重庆市科学技术研究院 | Scientific-and-technological-talent job-title classification evaluation method |
| CN104599062A (en) * | 2015-01-13 | 2015-05-06 | 中国农业大学 | Classification based value evaluation method and system for agricultural scientific and technological achievements |
| CN104636426A (en) * | 2014-12-22 | 2015-05-20 | 河海大学 | Multi-factor comprehensive quantitative analysis and sorting method for academic influences of scientific research institutions |
-
2015
- 2015-11-17 CN CN201510789785.XA patent/CN105447633A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268720A (en) * | 2014-10-17 | 2015-01-07 | 重庆市科学技术研究院 | Scientific-and-technological-talent job-title classification evaluation method |
| CN104636426A (en) * | 2014-12-22 | 2015-05-20 | 河海大学 | Multi-factor comprehensive quantitative analysis and sorting method for academic influences of scientific research institutions |
| CN104599062A (en) * | 2015-01-13 | 2015-05-06 | 中国农业大学 | Classification based value evaluation method and system for agricultural scientific and technological achievements |
Non-Patent Citations (3)
| Title |
|---|
| 共青团上海市委员会: "《生态文明与当代青年 》", 31 January 2014 * |
| 尹中一: "《状元坊 高考总复习 语文》", 30 June 2006 * |
| 杨淇蘥 等: "基于模糊综合评价法的贵州省科研机构创新绩效评价指标体系", 《科技情报开发与经济》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106295962A (en) * | 2016-07-28 | 2017-01-04 | 中国农业大学 | Personnel evaluation model generating method and device |
| CN107563119A (en) * | 2017-09-11 | 2018-01-09 | 合肥工业大学 | Suitable for the QoS evaluating method and device of multidisciplinary minimally-invasive treatment |
| CN108629489A (en) * | 2018-04-12 | 2018-10-09 | 科技部科技评估中心 | The computational methods of scientific research institution's technical research forward position index towards cutting edge technology |
| CN108629489B (en) * | 2018-04-12 | 2022-08-02 | 科技部科技评估中心 | Calculation method for leading-edge index of technological research of leading-edge technology-oriented scientific research institution |
| CN109299892A (en) * | 2018-08-22 | 2019-02-01 | 中国平安人寿保险股份有限公司 | A kind of recommended method of logistics channel, storage medium and server |
| CN111723119A (en) * | 2019-03-18 | 2020-09-29 | 北京京东尚科信息技术有限公司 | A screening method and device, and storage medium |
| CN110210735A (en) * | 2019-05-21 | 2019-09-06 | 上海软科教育信息咨询有限公司 | Department's merit rating system, method, terminal and medium suitable for unit of running a school |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105447633A (en) | Scientific research institution integration evaluation method and system thereof | |
| Özköse et al. | Bibliometric analysis and mapping of management information systems field | |
| Zhang et al. | The diffusion of H-related literature | |
| Valadkhani et al. | Ranking and clustering Australian university research performance, 1998–2002 | |
| CN111126865B (en) | Technology maturity judging method and system based on technology big data | |
| CN104598450A (en) | Popularity analysis method and system of network public opinion event | |
| CN108763490A (en) | Patent information management analysis system | |
| CN105989540A (en) | Stock selecting method and system | |
| CN102779143A (en) | Visualizing method for knowledge genealogy | |
| KR101823463B1 (en) | Apparatus for providing researcher searching service and method thereof | |
| Barnes | The emperor’s new clothes: the h-index as a guide to resource allocation in higher education | |
| WO2023130774A1 (en) | Data acquisition system for scientific research capability assessment based on subject development | |
| Kudryavtseva et al. | Modeling cluster development using programming methods: Case of Russian arctic regions | |
| CN111382948A (en) | Method and device for quantitatively evaluating enterprise development potential | |
| Franceschini et al. | Analysis of the ch-index: an indicator to evaluate the diffusion of scientific research output by citers | |
| CN109636682A (en) | A kind of teaching resource auto-collection system | |
| KR101401225B1 (en) | System for analyzing documents | |
| Nica et al. | Triple Bottom Line in Sustainable Development: A Comprehensive Bibliometric Analysis | |
| US20120191725A1 (en) | Document ranking system with user-defined continuous term weighting | |
| CN103559585A (en) | Method and system for achieving library comprehensive performance evaluation | |
| CN111415081A (en) | Enterprise data processing method and device | |
| CN116644102A (en) | Intelligent selection method, system terminal and computer-readable storage medium for investment object | |
| CN115795052A (en) | Industrial chain map construction method and device and electronic equipment | |
| Katsaliaki et al. | A profile of OR research and practice published in the Journal of the Operational Research Society | |
| CN108053103A (en) | A kind of scientific research information statistic management system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160330 |
|
| RJ01 | Rejection of invention patent application after publication |