收稿日期: 2015-11-06
修回日期: 2015-11-23
网络出版日期: 2015-12-05
基金资助
本文系国家社会科学基金项目"数字图书馆用户数据资源化管理研究"(项目编号:2013CTQ012)和河南省高校创新人才以及河南省科技计划软科学项目"数据密集型科学环境下科学数据服务研究"(项目编号:152400410082)研究成果之一。
Research on the Data Quality Control in Scientific Data Publishing
Received date: 2015-11-06
Revised date: 2015-11-23
Online published: 2015-12-05
[目的/意义] 梳理不同科学数据出版过程中数据质量控制的特点,总结数据质量控制当前面临的挑战,分析相关责任者现状,以利于更好地理解数据质量控制的发展趋势与特征。[方法/过程] 从数据出版模式入手,选取每一种出版模式下的典型案例,归纳总结其数据质量控制的实践、标准,进行不同模式之间的对比分析,总结异同,并发现问题。[结果/结论] 展示、出版和存储数据的方法不同,导致质量控制方法也存在较大差别。大多数期刊未提出与数据质量控制相关的建议和要求;数据知识库从技术方面完成数据集的质量控制,将质量控制作为数据存储、保存和服务开发过程的一部分;数据期刊拥有最详细的数据质量控制过程,并且与数据知识库合作进行数据的获取和存储。随着数据出版机构的发展,数据质量控制将会出现更有效的建议和最佳实践,但前提是必须解决可获取性、数据格式及评议模式等方面的问题。
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 . DOI: 10.13266/j.issn.0252-3116.2015.23.018
[Purpose/significance] This paper comparatively analyzes the quality control practice of research data used by different types of data publishing, and focuses on the current challenges and responsibilities of the research data's quality controlling to better understand the development trend and characteristics of this process.[Method/process] Based on different kinds of data publishing, this paper selected the typical cases to sum up the evaluation practice, the standards, compared them, and summarized the similarities, differences and problems.[Result/conclusion] There are differences in evaluation methods because of the different ways to display, publish and store data. Most journals do not provide suggestions and requirements related to data evaluation. As a part of the process of data storage, storage, and service development, data repository is focused on the technical aspect. The data periodical has the most detailed review process for data and cooperates with data repository for data acquisition and storage. Along with the development of data publishing organization, the most effective recommendations and practice for data quality control will come out, but the problems of access, data format and evaluation model must be solved.
Key words： scientific data; data publishing; quality control; peer review
[1] 吴立宗,王亮绪,南卓铜,等. 科学数据出版现状及其体系框架[J].遥感技术与应用,2013,28(3):383-385.
[2] 王丹丹. 科学数据规范引用关键问题探析[J].图书情报工作,2015,59(8):42-47.
[3] 杜伟,张静. 科学研究数据的出版与获取[J].出版科学,2013,21(6):86-90.
[4] Miller G, Couzin J. Peer review under stress[J]. Science, 2007,316(5823):358-359.
[5] Golden M, Schultz D M. Quantifying the volunteer effort of scientific peer reviewing[J]. Bulletin of the American Meteorological Society,2012,93(3):337-345.
[6] Pampel H, Pfeiffenberger H, Schäfer A, et al.Report on peer review of research data in scholarly communication[EB/OL].[2015-11-20].http://www.researchgate.net/publication/224922538_Report_on_Peer_Review_of_Research_Data_in_Scholarly_Communication.
[7] Callaghan S. Data without peer:Examples of data peer review in the Earth sciences[EB/OL].[2015-11-20]. http://dlib.org/dlib/january15/callaghan/01callaghan.html.
[8] 顾立平.科学数据权益分析的基本框架[J].图书情报知识,2014(1):34-52.
[9] Silva L. PLOS' new data policy:Public access to data[EB/OL].[2015-08-07]. http://www.plos.org/plos-data-policy-faq.
[10] Callaghan S, Donegan S, Pepler S, et al. Making data a first class scientific output:Data citation and publication by NERC's environmental data centres[J]. International Journal of Digital Curation,2012,7(1):107-113.
[11] NOAA's National Centers for Environmental Information.Archiving your data at NCEI[EB/OL].[2015-11-20]. www.ncdc.noaa.gov/customer-support/archiving-your-data-ncdc.
[12] CMIP5. Quality control[EB/OL].[2015-11-20]. https://redmine.dkrz.de/collaboration/projects/cmip5-qc/wiki.
[13] Newman P, Corke P. Data papers-peer reviewed publication of high quality datasets[J]. International Journal of Robot Research,2009,28(5):587.
[14] 欧阳峥峥,青秀玲,顾立平,等. 国际数据期刊出版的案例分析及其特征[J].中国科技期刊研究,2015,25(5):437-444.
[15] 王丹丹. 数据论文:数据集独立出版与共享模式研究[J].情报资料工作,2015(5):95-98.
[16] Penev L, Mietchen D, Chavan V, et al. Pensoft data publishing policies and guidelines for biodiversity data[EB/OL].[2015-06-20].http://www.pensoft.net/J_FILES/Pensoft_Data_Publishing_Policies_and_Guidelines.pdf.
[17] Earth System Science Data. Review criteria[EB/OL].[2015-11-20].http://www.earth-system-science-data.net/review/ms_evaluation_criteria.html.
[18] Geoscience Data Journal. Guidelines for reviewers[EB/OL].[2015-11-20].http://onlinelibrary.wiley.com/journal/10.1002/%28ISSN%292049-6060/homepage/guidelines_for_reviewers.htm.
[19] Scientific Data. Guide for referees[EB/OL].[2015-11-20]. http://www.nature.com/scientificdata/guide-to-referees/.
[20] Dryad.About[EB/OL].[2015-11-20].http://datadryad.org/.
[21] Costello M J, Michener W K, Gahegan M, et. al. Biodiversity data should be published, cited, and peer reviewed[J]. Trends in Ecology & Evolution,2013,28(8):454-461.
/
| 〈 |
|
〉 |
