Using Data Management Plans to Explore Variability in Research Data Management Practices Across Domains
| Autor: | Jake Carlson, Brian Westra, Susan Wells Parham, Patricia Hswe, Amanda L. Whitmire |
|---|---|
| Přispěvatelé: | Institute of Museum and Library Services, National Leadership Grant LG-07-13-0328 |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Knowledge management
business.industry Computer science Data management 05 social sciences Data management plan Rubric 02 engineering and technology Plan (drawing) Data science lcsh:Z lcsh:Bibliography. Library science. Information resources Content analysis Scale (social sciences) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 0509 other social sciences 050904 information & library sciences business Management practices Research data |
| Zdroj: | International Journal of Digital Curation, Vol 11, Iss 1 (2016) International Journal of Digital Curation; Vol 11, No 1 (2016); 53-67 |
| ISSN: | 1746-8256 |
| Popis: | This paper describes an investigation into how researchers in different fields are interpreting and responding to the U.S. National Science Foundation’s data management plan (DMP) requirement. As documents written by the researchers themselves, DMPs can provide insight into researchers’ understanding of the potential value of their data to others; the environment in which their data are developed and prepared; and their willingness and ability to ensure the data are available to others now and in the long-term. With support from the Institute of Museum and Library Services, the authors conducted a content analysis of DMPs generated at their respective institutions using a shared rubric. By developing and testing a rubric designed to understand and evaluate the content of DMPs, the authors intend to develop a more complete understanding, at a larger scale, of how researchers plan for managing, sharing, and archiving their data. |
| Databáze: | OpenAIRE |
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