[目的/意义] 在数据期刊同行评议的视角下识别并构建科学数据质量评价指标，增强对科学数据质量评价的理解，为数据论文同行评议实践提供参考。[方法/过程] 利用扎根理论的研究方法，选取20个数据期刊的数据同行评议指南作为质性研究的原始资料，并使用NVivo质性分析软件对资料进行开放式编码、关联式编码和选择性编码，通过理论饱和度检验对编码结果进行检验。[结果/结论] 最终构建数据论文同行评议情境下的科学数据质量评价指标体系，识别出数据内在质量、数据表达质量、数据访问质量和数据效用质量4个主范畴和14个评价指标，并具体分析指标的含义及分类，帮助数据论文作者和评审者深入了解科学数据质量的内在结构。
[Purpose/significance] From the perspective of peer review on data journals, this paper identifies and puts forward scientific data quality evaluation indicators to improve the understanding of scientific data quality evaluation and provide a reference for the practice of peer review of data papers.[Method/process] Data review guidelines for 20 data journals were selected as source material for qualitative research. This paper used grounded theory and qualitative analysis software NVivo to openly encode, correlate and selectively encode the data, and finally tested the encoding results through the theoretical saturation test.[Result/conclusion] Finally, in the context of peer review of data papers, a scientific data quality evaluation index system was established, including four categories of data internal quality, data expression quality, data access quality, and data utility quality and 14 evaluation indicators. Then this article analyzed the specific meaning and classification of the indicators in detail to help the authors and reviewers of data papers understand the internal structure of scientific data quality.
[1] GREGORY K, GROTH P, COUSIJN H, et al. Searching data:a review of observational data retrieval practices in selected disciplines[J]. Journal of the Association for Information Science and Technology, 2019, 70(5):419-432.
[2] PRICE G. Figshare releases"the state of open data 2019"report[EB/OL].[2020-04-14].https://www.infodocket.com/2019/10/23/figshare-releases-the-state-of-open-data-2019/.
[3] 王丹丹.科学数据出版过程中的数据质量控制[J].图书情报工作,2015,59(23):124-129.
[4] CARPENTER T A. What constitutes peer review of data:a survey of published peer review guidelines[DB/OL].[2020-06-07].https://arxiv.org/abs/1704.02236.
[5] WAAIJERS L, VANDERGRAAF M. Quality of research data, an operational approach[DB/OL].[2020-03-11].http://www.dlib.org/dlib/january11/waaijers/01waaijers.html.
[6] LUSH V, BASTIN L, LUMSDEN J. Geospatial data quality indicators[C]//Proceeding of the 10th international symposium on spatial accuracy assessment in natural resources and environmental sciences.Washington:International Spatial Accuracy Research Association, 2012:121-126.
[7] GAMBLE M, GOBLE C. Quality, trust, and utility of scientific data on the Web:towards a joint model[C]//Proceedings of the 3rd international Web science conference.New York:ACM, 2011:1-8.
[8] 崔旭,韩子鹤,王铮,等.科学数据管理中的数据选择与评价关键要素研究[J].情报理论与实践,2018,41(3):78-82,100.
[9] 屈文建,唐晶,陈旦芝.高校科研数据质量控制架构与机制研究[J].情报理论与实践,2018,41(11):45-50.
[10] 刘传玺.数据论文概念辨析及其同行评审研究[J]. 图书馆杂志, 2016,35(9):76-80.
[11] 涂志芳.科学数据出版的基础问题综述与关键问题识别[J]. 图书馆, 2018, (6):86-92,100.
[12] 孔丽华,习妍,郎杨琴,等.数据期刊中科学数据的同行评议方法研究[J].编辑学报,2019,31(3):262-266.
[13] 李晓蕾,齐钒宇,孟洁,等.地质科学数据出版的质量控制及公开化审查研究[J].中国矿业,2019,28(6):65-68.
[14] WANG R Y, STRONG D M. Beyond accuracy:what data quality means to data consumers[J]. Journal of management information systems, 1996, 12(4):5-33.
[15] KATERATTANAKUL P, SIAU K. Measuring information quality of Web sites:development of an instrument[C]//Proceedings of the 20th international conference on information systems.Atlanta:Association for Information Systems, 1999:279-285.
[16] KLEIN B. When do users detect information quality problems on the World Wide Web?[C]//Proceedings of the 8th Americas conference on information systems.Atlanta:AIS Electronic Library, 2002:1101-1103.
[17] WILKINSON M D, DUMONTIER M, AALBERSBERG I J J, et al. The FAIR guiding principles for scientific data management and stewardship[J]. Scientific data, 2016, 3:160018.
[18] KRATZ J E, STRASSER C. Researcher perspectives on publication and peer review of data[J]. Plos one, 2015, 10(2):e0117619.
[19] GLASER B G, STRAUSS A L. The discovery of grounded theory; strategies for qualitative research[M]. Chicago:Aldine, 1967.
[20] CANDELA L, CASTELLI D, MANGHI P, et al. Data journals:a survey[J]. Journal of the Association for Information Science and Technology, 2015, 66(9):1747-1762.
[21] 刘凤红,彭琳.国际数据期刊的发展现状调查与分析[J].中国科技期刊研究,2019,30(11):1129-1134.
[22] 陈欣,叶凤云,汪传雷.基于扎根理论的社会科学数据共享驱动因素研究[J].情报理论与实践,2016,39(12):91-98.
[23] HOLSTI O R. Content analysis for the social sciences and humanities[J]. New Jersey:Addison-Wesley, 1969, 14(11):137-141.
[24] WALLIS J C, BORGMAN C L, MAYERNIK M S, et al. Know thy sensor:trust, data quality, and data integrity in scientific digital libraries[C]//Proceedings of the 11th European conference on research and advanced technology for digital libraries. Berlin:Springer-Verlag, 2007:380-391.
[25] WENDELBO M. Perspectives on peer review of data:framing standards and questions[J]. College & research libraries, 2017, 78(3):262-266.
[26] AUSTIN C C, BLOOM T, DALLMEIER-TIESSEN S, et al. Key components of data publishing:using current best practices to develop a reference model for data publishing[J]. International journal on digital libraries, 2017, 18(2):77-92.
