| 摘要: |
| 针对大数据、云服务和“互联网+”特点，绘制了由数据源层、数据仓库、数据处理层（数据分析和数据挖掘）和服务层四部分构成的基于数据支持的学科评估路径。并以东华大学2015 年SCI-E 收录期刊分区数据监测为案例，基于数据探讨了学科评估问题，以期为大数据时代决策服务提供理论基础和数据支持，最终突破学科服务发展瓶颈。 |
| 关键词: 学科评估 期刊分区 数据支持 决策服务 |
| DOI： |
| Received:November 08, 2016Revised:December 08, 2016 |
| 基金项目:基金项目：教育部人文社会科学规划项目“纺织史研究资源保障及其服务体系构建研究”（13YJA870001）；上海市高等教育学会项目“大数据运用于高校发展研究”（ZCGJ07-15）；中央高校基本科研业务费专项资金资助项目“大数据时代图书馆基于ESI、InCites 和DII 数据库支持学科发展的服务路径实践研究”（14D123702）；东华大学终身教育研究所2015 年度课题研究项目（2015LE0092）；ISTIC-ELSEVIER 期刊评价研究中
心开放基金项目“基于SCOPUS和SCIVAL的决策支持服务模式研究”。 |
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| Subject Evaluation Practice Based on Data Support—A Case Study of Prediction on Quartile in Category Indexed by Science Citation Index Expanded in 2015 at Donghua University |
| Chen Huilan， Dong Zheng’e, Ren Ruirong |
| (Library, Donghua University, Shanghai 201620) |
| Abstract: |
| Based on features of big data, cloud services and the Internet，the path of the subject evaluation based on data analysis which consists of four parts such as data source layer,data house, data processing layer（data analysis and data mining） and decision service layer was drawn. Prediction on quartile in category indexed by Science Citation Index Expanded in7 2015 at Donghua University was taken as an example, in which the subject evaluation was practiced based on the data to provide a theoretical basis and data support for decision service7 under the big data era, and to breakthrough bottleneck of subject service finally. |
| Key words: Subject evaluation Quartile in category Data support Decision service |
