Study about Research Data Citation Based on DCI (Data Citation Index)

Data Citation Index를 기반으로 한 연구데이터 인용에 관한 연구

  • 조재인 (인천대학교 문헌정보학과)
  • Received : 2016.01.22
  • Accepted : 2016.02.11
  • Published : 2016.02.29


Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.


Research Data;Data Citation Index;ICPSR;Data Repository


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