TY - JOUR
T1 - A study on scholars’ perceptions and practices of research data management
AU - Lu, Yi Ching
AU - Ke, Hao Ren
N1 - Funding Information:
Chowdhury, G., Boustany, J., Kurbanoğlu, S., Ünal, Y., & Walton, G. (2017). Preparedness for research data sharing: A study of university researchers in three European countries. In S. Choemprayong, F. Crestani, & S. Cunningham (Eds.), Digital libraries: Data, information, and knowledge for digital live (pp. 104-116). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-70232-2_9 Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017). Developments in research data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Science & Technology, 68(9), 2182-2200. doi: 10.1002/asi.23781 DataONE. (n.d.). Data life cycle. Retrieved from https://www.dataone.org/data-life-cycle Data Curation Centre. (n.d.). Data management plans. Retrieved from http://www.dcc. ac.uk/resources/data-management-plans Eindhoven University of Technology Library. (n.d.). What is research data management? Retrieved from https://www.tue.nl/en/ our-university/library/education-research-support/scientific-publishing/data-coach/ general-terms-and-background/what-is-research-data-management/ Hey, T., Tansley, S., & Tolle, K. (Eds.). (2009). The fourth paradigm: Data-intensive scientific discovery. Retrieved from http://research.microsoft.com/en-us/ collaboration/fourthparadigm/ Joint Information Systems Committee. (2011). Developing digital literacies: Briefing paper in support of JISC grant funding 4/11. Retrieved from http://www.jisc. ac.uk/media/documents/funding/2011/04/ Briefingpaper.pdf Krosnick, J. A. (1999). Survey research. Annual Review of Psychology, 50(1), 537-567. doi: 10.1146/annurev.psych.50.1.537 Massey University Library. (2020). Introduction to research data management (RDM). Retrieved from http://www.massey.ac.nz/ massey/research/library/library-services/ research-services/manage-data/manage-data_home.cfm National Science Board. (2005). Long-lived digital data collections: Enabling research and education in the 21st century. Retrieved from https://www.nsf.gov/ pubs/2005/nsb0540/ National Science Foundation. (2017). Proposal & award policies & procedures guide: Chapter II - Proposal preparation instructions. Retrieved from https://www.nsf.gov/pubs/policydocs/ pappg17_1/pappg_2.jsp Organization for Economic Co-operation and Development. (2007). OECD principles and guidelines for access to research data from public funding. Retrieved from http:// www.oecd.org/dataoecd/9/61/38500813.pdf Perrier, L., & Barnes, L. (2018). Developing research data management services and support for researchers: A mixed methods study. Partnership: The Canadian Journal
Publisher Copyright:
© 2020, National Taiwan University, Department of Library and Information Science. All rights reserved.
PY - 2020/12
Y1 - 2020/12
N2 - The trends of digital scholarship, the fourth-paradigm, and data sharing attract attention to issues on research data management (RDM). RDM involves a series of activities throughout the whole research life cycle, including the production, description, storing, backing-up, processing, analyzing, preserving, sharing and reusing of research data. RDM assures scientific research affordable, accessible, fair, re-producible, verifiable, and sustainable. This study explores Taiwanese scholars’ perceptions and practices of RDM via a questionnaire survey. It investigated issues including sources and types of research data, data storage and search, metadata of research data, data management plan (DMP) mandates or requirements, training and support, and data sharing and reuse. Furthermore, it attempts to understand if scholars’ perceptions and practices reveal significant differences regarding subject disciplines, years of research experiences, and profession titles.
AB - The trends of digital scholarship, the fourth-paradigm, and data sharing attract attention to issues on research data management (RDM). RDM involves a series of activities throughout the whole research life cycle, including the production, description, storing, backing-up, processing, analyzing, preserving, sharing and reusing of research data. RDM assures scientific research affordable, accessible, fair, re-producible, verifiable, and sustainable. This study explores Taiwanese scholars’ perceptions and practices of RDM via a questionnaire survey. It investigated issues including sources and types of research data, data storage and search, metadata of research data, data management plan (DMP) mandates or requirements, training and support, and data sharing and reuse. Furthermore, it attempts to understand if scholars’ perceptions and practices reveal significant differences regarding subject disciplines, years of research experiences, and profession titles.
KW - Data management plan (DMP)
KW - Digital scholarship
KW - Metadata
KW - Research data management (RDM)
UR - http://www.scopus.com/inward/record.url?scp=85099259619&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099259619&partnerID=8YFLogxK
U2 - 10.6182/jlis.202012_18(2).103
DO - 10.6182/jlis.202012_18(2).103
M3 - Article
AN - SCOPUS:85099259619
SN - 1606-7509
VL - 18
SP - 103
EP - 137
JO - Journal of Library and Information Studies
JF - Journal of Library and Information Studies
IS - 2
ER -