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Practices of research data curation in institutional repositories: A qualitative view from repository staff
- Source :
- PLoS ONE, Vol 12, Iss 3, p e0173987 (2017), PLoS ONE
- Publication Year :
- 2017
- Publisher :
- Public Library of Science (PLoS), 2017.
-
Abstract
- The importance of managing research data has been emphasized by the government, funding agencies, and scholarly communities. Increased access to research data increases the impact and efficiency of scientific activities and funding. Thus, many research institutions have established or plan to establish research data curation services as part of their Institutional Repositories (IRs). However, in order to design effective research data curation services in IRs, and to build active research data providers and user communities around those IRs, it is essential to study current data curation practices and provide rich descriptions of the sociotechnical factors and relationships shaping those practices. Based on 13 interviews with 15 IR staff members from 13 large research universities in the United States, this paper provides a rich, qualitative description of research data curation and use practices in IRs. In particular, the paper identifies data curation and use activities in IRs, as well as their structures, roles played, skills needed, contradictions and problems present, solutions sought, and workarounds applied. The paper can inform the development of best practice guides, infrastructure and service templates, as well as education in research data curation in Library and Information Science (LIS) schools.
- Subjects :
- Computer and Information Sciences
Research Facilities
Knowledge management
Sociotechnical system
Science Policy
Best practice
Data management
Libraries
lcsh:Medicine
02 engineering and technology
Research and Analysis Methods
Information Centers
Graduates
Librarians
020204 information systems
Political science
0202 electrical engineering, electronic engineering, information engineering
lcsh:Science
Data Curation
Data Management
Statistical Data
Multidisciplinary
Data curation
business.industry
Research
Workaround
05 social sciences
lcsh:R
Software Development
Academies and Institutes
Software Engineering
United States
Metadata
Professions
Research Design
People and Places
Physical Sciences
Educational Status
Engineering and Technology
Population Groupings
Science policy
lcsh:Q
0509 other social sciences
050904 information & library sciences
business
Mathematics
Statistics (Mathematics)
Research Article
Qualitative research
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....d6bf80e9192d49a44e610088f71c741d