Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park.
A comprehensive record of research data provenance is essential for the successful curation, management, and reuse of data over time. However, creating such detailed metadata can be onerous, and there are few structured methods for doing so. In this case study of data curation in support of geobiolo...
| Publicado en: | Journal of the Association for Information Science & Technology Vol. 69; no. 10; pp. 1234 - 1246 |
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| Autores principales: | , , , , |
| Formato: | case study research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132045088&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132045088 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23301635 H6JN jtl: Journal of the Association for Information Science & Technology issn: 23301635 maglogo: N pubinfo: dt: Oct2018 vid: 69 iid: 10 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 132045088 132045088 132045088 10.1002/asi.24039 132045088 ppf: 1234 ppct: 12 formats: tig: atl: Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park. aug: au: Thomer, Andrea K. Wickett, Karen M. Baker, Karen S. Fouke, Bruce W. Palmer, Carole L. affil: School of Information, University of Michigan, 105 S. State Street, Ann Arbor, Michigan 48109 USA sug: subj: Documentation Workflow Data Analytics Methods Data Curation Human Systems Analysis Metadata Interprofessional Relations Research Personnel Information Management Research Methodology Field Studies Funding Source ab: A comprehensive record of research data provenance is essential for the successful curation, management, and reuse of data over time. However, creating such detailed metadata can be onerous, and there are few structured methods for doing so. In this case study of data curation in support of geobiology research conducted at Yellowstone National Park, we describe a method of “Research Process Modeling” for documenting noncomputational data provenance in a structured yet flexible way. The method combines systems analysis techniques to model research activities, the World Wide Web Consortium Provenance (PROV) ontology to illustrate relationships between data products, and simple inventory methods to account for research processes and data products. It also supports collaborative data curation between information professionals and researchers, and is therefore a significant step toward producing more useable and interpretable research data. We demonstrate how this method describes data provenance more robustly than “flat” metadata alone and fills a critical gap in the documentation of provenance for field‐based and noncomputational workflows. We discuss potential applications of this approach to other research domains. pubtype: Academic Journal doctype: case study research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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