CAJ | 학술논문

科学研究离不开数据的支持，科学数据评价是对科学数据实施有效管理、促进数据共享与重用的基础。文章借鉴引文分析方法，选取数据发布量、数据被引量、数据平均被引频次及h指数等指标，构建了基于引用的数据评价体系，并以DCI中的人口调查数据为例进行了实证研究。研究发现通过数据引用可以有效地对科学数据的发布及存储机构的影响力进行评估，而DCI虽然由于建立时间较短而不够成熟，但仍可为科学数据的定量评价提供强有力支持。
과학연구리불개수거적지지，과학수거평개시대과학수거실시유효관리、촉진수거공향여중용적기출。문장차감인문분석방법，선취수거발포량、수거피인량、수거평균피인빈차급h지수등지표，구건료기우인용적수거평개체계，병이DCI중적인구조사수거위례진행료실증연구。연구발현통과수거인용가이유효지대과학수거적발포급존저궤구적영향력진행평고，이DCI수연유우건립시간교단이불구성숙，단잉가위과학수거적정량평개제공강유력지지。
Data is the footstone of science research. The evaluation of scientific data can promote the management of scientific data, then facilitate the sharing and reuse of data. Based on the method of citation analysis, the authors propose a scientific data evaluation system which includes indices such as data publication, data citation, citation per data and h-index. An experiment is implemented with the data of population survey in DCI. The result shows this system is useful for the evaluation of institutions which published and stored scientific data. The result also shows DCI can provide strong support to the quantitative evaluation of scientific data.