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Assessing the uptake of persistent identifiers by research infrastructure users
- Source :
- PLoS ONE, Vol 12, Iss 4, p e0175418 (2017), PLoS ONE
- Publication Year :
- 2017
- Publisher :
- Public Library of Science (PLoS), 2017.
-
Abstract
- Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting citations to data sets, software, and other research infrastructures like computing facilities. Open questions remain, however, about the extent to which referencing practices of authors of scholarly publications are changing in ways desired by these initiatives. This paper uses four focused case studies to evaluate whether research infrastructures are being increasingly identified and referenced in the research literature via persistent citable identifiers. The findings of the case studies show that references to such resources are increasing, but that the patterns of these increases are variable. In addition, the study suggests that citation practices for data sets may change more slowly than citation practices for software and research facilities, due to the inertia of existing practices for referencing the use of data. Similarly, existing practices for acknowledging computing support may slow the adoption of formal citations for computing resources.
- Subjects :
- Computer and Information Sciences
Atmospheric Science
Time Factors
Research Facilities
Knowledge management
Inertia
010504 meteorology & atmospheric sciences
Climate Change
Data management
Science
Information Dissemination
Datasets as Topic
Documentation
Research and Analysis Methods
01 natural sciences
Computer Software
Motion
Citation analysis
Data Management
0105 earth and related environmental sciences
Publishing
Climatology
Multidisciplinary
Computers
business.industry
Physics
05 social sciences
Classical Mechanics
Research Assessment
Supercomputers
Identifier
Physical Sciences
Earth Sciences
Medicine
0509 other social sciences
Research Laboratories
050904 information & library sciences
business
Citation
Software
Research Article
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....82c31a196fd75a9b65ef320cab2fa8c5