Controlled Vocabularies for Scientific Data: Users and Desired Functionalities
Rowell, Chelcie Juliet
Item Files
Item Details
- title
- Controlled Vocabularies for Scientific Data: Users and Desired Functionalities
- author
- Zhang, Yue
- author
- Ogletree, Adrian
- author
- Greenberg, Jane
- author
- Rowell, Chelcie Juliet
- abstract
- Controlled vocabularies have great applicability for organizing and providing access to scientific data. This paper presents research examining the controlled vocabulary use and desired application features specific to scientific data. A survey was conducted, gathering data from U.S. DataNet participants and other data stakeholder communities. Results indicate that participants see controlled vocabularies as valued tools. Participants also reported an interest in repository technology that provides access to multiple vocabularies for scientific data.
- description
- This is an accepted manuscript of an article published in the Proceedings of the Annual Meeting of the Association for Information Science and Technology on November 6, 2015 available online at http://dl.acm.org/citation.cfm?id=2857070.2857124.
- National Science Foundation Grant Numbers #OCI-0830944 and #OCI-0940841 (sponsorship)
- subject
- controlled vocabularies
- ontologies
- scientific data
- data repositories
- citation
- 52 (issue)
- date
- 2015-07-22T16:36:37Z (accessioned)
- 2015-07-22T16:36:37Z (available)
- 2015-11-16 (issued)
- identifier
- Zhang, Yue, Ogletree, Adrian, Greenberg, Jane, & Rowell, Chelcie. (2015) Controlled Vocabularies for Scientific Data: Users and Desired Functionalities. Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community, article no. 54. (citation)
- 0-87715-547-X (isbn)
- http://hdl.handle.net/10339/57209 (uri)
- language
- en_US (iso)
- publisher
- Association for Information Science and Technology (ASIS&T)
- source
- Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community
- type
- Preprint