Journal of the Korean Society for Library and Information Science
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- P-ISSN1225-598X
- E-ISSN2982-6292
Data Life Cycle Proposal for Research Data Management
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Abstract
Although overseas countries have already developed data life cycle for the preservation and curation of data since the 1990s, the research in Korea has been very insufficient. In this study, we analyzed the data life cycles developed in DCC, ICPSR, IWGDD, DataONE, USGS and UKDA to propose data life cycle for efficient management of research data. As a result of the analysis, the common components derived are ‘Plan’, ‘Create & Collect’, ‘Process’, ‘Preserve’, ‘Dispose’, ‘Access & Use’, ‘Describe’, ‘Assure’ and ‘Backup & Secure’. In addition, the nine components were subdivided into stages to describe the details to be carried out at that stage. It is expected that the content of this study will be applicable in the future development of data life cycle for research data management in Korea.
- keywords
- 연구 데이터, 데이터 라이프 사이클, 보존, 큐레이션, 오픈 사이언스, Research Data, Data Life Cycle, Preservation, Curation, Open Science
Reference
김주섭, 김선태, 최상기. 2019. 연구 데이터 관리 및 서비스를 위한 핵심요소의 기능적 요건. 『한국문헌정보학회지』, 53(3): 317-344.
C Jung et al. 2014. “Optimization of data life cycles.” Journal of Physics: Conference Series, 513: 1-8. [online] [cited 2019. 10. 9.] <doi:10.1088/1742-6596/513/3/032047>
Data Lifecycle. [online] [cited 2019. 10. 13.]<https://nnlm.gov/data/thesaurus/data-lifecycle>
DataONE Public Participation in Scientific Research Working Group. 2013. Data Management Guide for Public Participation in Scientific Research. [online] [cited 2019. 10. 15.]<https://www.dataone.org/sites/all/documents/DataONE-PPSR-DataManagementGuide.pdf>
Faundeen, J. L. et al. 2013. The United States Geological Survey Science Data Lifecycle Model: U.S. Geological Survey Open-File Report 2013-1265, 4 p. <http://dx.doi.org/10.3133/ofr20131265>
ICPSR. 2012. Guide to Social Science Data Preparation and Archiving. 5th edition. [online][cited 2019. 10. 14.] <https://www.icpsr.umich.edu/files/deposit/dataprep.pdf>
Interagency Working Group on Digital Data. [online] [cited 2019. 10. 14.]<https://itlaw.wikia.org/wiki/Interagency_Working_Group_on_Digital_Data>
Intro to data management. [online] [cited 2019. 10. 17.]<https://library.cmu.edu/datapub/dms/data/101>
IWGDD. 2012. HARNESSING THE POWER OF DIGITAL DATA FOR SCIENCE AND SOCIETY. Report of the Interagency Working Group on Digital Data to the Committee on Science of the National Science and Technology Council January 2009. [online] [cited 2019. 10. 15.] <https://www.nitrd.gov/About/Harnessing_Power_Web.pdf>
Kristi Miller et al. 2018. Data Management Life Cycle. Texas A&M Transportation Institute, PRC 17-84F, March 2018 [online] [cited 2019. 10. 12.]<https://static.tti.tamu.edu/tti.tamu.edu/documents/PRC-17-84-F.pdf>
Louise Corti et al. 2014. Managing and Sharing Research Data: A Guide to Good Practice. [online] [cited 2019. 10. 13.]<http://www.sagepub.com/sites/default/files/upm-binaries/61019_Corti_Managing_and_sh aring_research_data.pdf>
Maureen Pennock. 2007. Digital Curation: A Life-Cycle Approach to Managing and Preserving Usable Digital Information. Library & Archives, January 2007. [online] [cited 2019. 10. 8.]<http://www.ukoln.ac.uk/ukoln/staff/m.pennock/publications/docs/lib-arch_curation.pdf>
Mohammed El Arass, Iman Tikito, Nissrine Souissi. 2017. Data lifecycles analysis: towards intelligent cycle. IEEE ISCV, Apr 2017, Fez, Morocco. ffhal-01593851f [online] [cited 2019. 10. 11.] <https://hal.archives-ouvertes.fr/hal-01593851/document>
Open Science. [online] [cited 2019. 10. 12.] <https://en.wikipedia.org/wiki/Open_science>, <https://eua.eu/issues/21:open-science.html>
Peter Kraker et al. 2011. The case for an open science in technology enhanced learning. Int. J. Technology Enhanced Learning, 3(6): 643-654.. [online] [cited 2019. 10. 8.]<http://www.know-center.tugraz.at/download_extern/papers/open_science.pdf>
Research data lifecycle. [online] [cited 2019. 10. 14.]<https://blogs.ntu.edu.sg/lib-datamanagement/data-lifecycle/>
Research data management explained. [online] [cited 2019. 10. 12.]<https://library.leeds.ac.uk/info/14062/research_data_management/61/research_data_ma nagement_explained>
Sarah Higgins. 2008. The DCC Curation Lifecycle Model. The International Journal of Digital Curation, 1(3): 134-140.
Tanja Wissik and Matej Ďurčo. 2015. Research Data Workflows: From Research Data Lifecycle Models to Institutional Solutions. CLARIN 2015 Selected Papers․Linköping Electronic Conference Proceedings, No. 123: 94-107. [online] [cited 2019. 10. 10.]<http://www.ep.liu.se/ecp/123/008/ecp15123008.pdf>
VEERLE VAN DEN EYNDEN. 2013. DATA LIFE CYCLE & DATA MANAGEMENT PLANNING. LOOKING AFTER AND MANAGING YOUR RESEARCH DATA (GOING DIGITAL AND ESRC ATN EVENTS) UK DATA ARCHIVE, COLCHESTER, 24-25APRIL 2013. [online] [Cited 2019. 10. 15.]<https://www.ukdataservice.ac.uk/media/187718/dmplanningdm24apr2013.pdf>
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