[Purpose/significance]The forth paradigm of data-driven scientific research highlights the importance of scientific data curation.Scientific data curation is a continuing improvement process with a combination of technologies and management skills.It needs a systemic knowledge system to guide specific practices of data planning and management.[Method/process]Based on the analysis of scientific data and related curation factors, this paper classifies and streams the data management system created by the international data management association.A conceptual model of scientific data curation system is provided from the management perspective, which includes 4 core management functions, 4 auxiliary management functions and a comprehensive management function.Then the function structure with its input, output and main management activities of each management module are discussed in details.[Result/conclusion]Comparing with other curation systems, it has features of clear target, and highlights and embodies the characteristics combination of technology and management fully.The structural description method makes it more orderly, systematic, graphical and scientific for the way of thinking and working steps of scientific data curation.The result will provide a theoretical reference for scientific research institutions, libraries and enterprises to implement data curation.
Wu Jinhong
,
Chen Yongyue
. Research on Scientific Data Curation System Oriented to the Fourth Paradigm of Science[J]. Library and Information Service, 2015
, 59(16)
: 11
-17
.
DOI: 10.13266/j.issn.0252-3116.2015.16.002
[1] Hey T,Tansley S,Tolle K.第四范式:数据密集型科学发现[M].潘教峰,张晓林,译.北京:科学出版社,2012.
[2] Lord P, Macdonald A.e-Science curation report:Data curation for e-Science in the UK: An audit to establish requirements for future curation and provision[EB/OL].[2015-03-20].http://www.jisc.ac.uk/uploaded_documents/e-ScienceReportFinal.pdf.
[3] Shreeves S, Cragin M.Introduction: Institutional repositories: Current state and future[J].Library Trends, 2008,57(2):89-97.
[4] Choudhury S.Data curation: An ecological perspective[J].College & Research Libraries News,2010, 71(4): 194-196.
[5] Laughton P.OAIS functional model conformance test:A proposed measurement[J].Program:Electronic Library and Information Systems,2012,46(3) :308-320.
[6] Testi D, Quadrani P,Viceconti M.Physiome space:Digital library service for biomedical data[J].Philosophical Transactions of the Royal Society-A Mathematical Physical and Engineering Sciences,2010,368(1921):2853-2861.
[7] Shreeves S,Cragin M.Data curation profiles[EB/OL].[2014-12-03].http://www.datacurationprofiles.org.
[8] Kirkland A.A capability maturity model for scientific data management[EB/OL].[2015-04-15].http://rdm.ischool.syr.edu/xwiki/bin/view/CMM+for+RDM/WebHome.
[9] ANDS.Research data management framework capability maturity guide[EB/OL].[2015-04-15].http://ands.org.au/guides/dmframework/dmf-capability-maturity-guide.pdf.
[10] Ray L.Research data management: Practical strategies for information professionals[M].West Lafayette:Purdue University Press,2014:34-37.
[11] DataONE.What is DataONE?[EB/OL].[2014-12-09].http://www.dataone.org/.
[12] Greenberg J.Introduction metadata for scientific data: Historical considerations,current practice and prospects[J].Journal of Library Metadata, 2010,10(2/3):75-78.
[13] 时婉璐,任树怀.数据策管:图书馆服务的新创举[J].图书馆杂志,2012(10):15-18.
[14] 杨鹤林.数据监护美国高校图书馆的新探索[J].大学图书馆学报,2011(2):18-22.
[15] 沈婷婷,卢志国.数据监管在我国高校图书馆的应用展望[J].图书情报工作,2012,56(7):54-57,87.
[16] 刘雄洲,王菲.国外数据存管实施现状及其对国内高校图书馆的启示[J].图书馆,2012(5):81-83.
[17] 王芳,慎金花.国外数据管护(Data Curation)研究与实践进展[J].中国图书馆学报,2014(4):116-128.
[18] 钱鹏.高校科学数据管理研究[D].南京:南京大学信息管理学院,2012.
[19] 王晴.论科学数据开放共享的运行模式、保障机制及优化策略[J].国家图书馆学刊,2014(2):5-11.
[20] 房小可.基于关联数据的高校图书馆科学数据组织研究[J].图书馆建设,2013(10):56-61.
[21] 陈大庆.国外高校数据管理服务实施框架体系研究[J].大学图书馆学报,2013(6):10-17.
[22] 白如江,冷伏海."大数据"时代科学数据整合研究[J].情报理论与实践,2014(1): 94-99.
[23] 唐义,张晓蒙,郑燃.国际科学数据共享政策法规体系:Linked Science制度基础[J].图书情报知识,2013(5):110-114.
[24] DCC.The DCC Curation Lifecyele Model[EB/OL].[2015-04-20].http://www.dcc.ac.uk/docs/publications/DCCLifecycle.pdf.
[25] Wallis J C.Moving archival practices upstream:An exploration of the life cycle of ecological sensing data in collaborative field research[J].International Journal of Digital Curation,2008,3(1):114-126.
[26] Wilson J A J,Martinez-Uribe L,Fraser M A,et al.An institutional approach to developing research data management infrastructure[J].International Journal of Digital Curation,2011,6(2):274-287.
[27] Laughton P.OAIS functional model conformance test:A proposed measurement[J].Program:Electronic Library and Information Systems,2012,46(3):308-320.
[28] DAMA International.Body of Knowledge[EB/OL].[2015-04-05].http://www.dama.org/content/body-knowledge.
[29] IBM DeveloperWorks.大数据治理统一流程参考模型[EB/OL].[2015-04-06].http://www.ibm.com/developerworks/cn/data/library/bd-1503bigdatagovernance4/index.html.
[30] 陈明.数据密集型科研第四范式[J].计算机教育,2013(9):103-106.
