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Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits

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  • Andrea K. Thomer

Abstract

Scientifically significant sites are the source of, and long‐term repository for, considerable amounts of data—particularly in the natural sciences. However, the unique data practices of the researchers and resource managers at these sites have been relatively understudied. Through case studies of two scientifically significant sites (the hot springs at Yellowstone National Park and the fossil deposits at the La Brea Tar Pits), I developed rich descriptions of site‐based research and data curation, and high‐level data models of information classes needed to support integrative data reuse. Each framework treats the geospatial site and its changing natural characteristics as a distinct class of information; more commonly considered information classes such as observational and sampling data, and project metadata, are defined in relation to the site itself. This work contributes (a) case studies of the values and data needs for researchers and resource managers at scientifically significant sites, (b) an information framework to support integrative reuse at these sites, and (c) a discussion of data practices at scientifically significant sites.

Suggested Citation

  • Andrea K. Thomer, 2022. "Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1155-1170, August.
    • Handle: RePEc:bla:jinfst:v:73:y:2022:i:8:p:1155-1170
    DOI: 10.1002/asi.24620
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    1. Peter T. Darch & Ashley E. Sands & Christine L. Borgman & Milena S. Golshan, 2021. "Do the stars align?: Stakeholders and strategies in libraries' curation of an astronomy dataset," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(2), pages 239-252, February.
    2. Shelley Stall & Lynn Yarmey & Joel Cutcher-Gershenfeld & Brooks Hanson & Kerstin Lehnert & Brian Nosek & Mark Parsons & Erin Robinson & Lesley Wyborn, 2019. "Make scientific data FAIR," Nature, Nature, vol. 570(7759), pages 27-29, June.
    3. Christine L. Borgman, 2012. "The conundrum of sharing research data," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(6), pages 1059-1078, June.
    4. Christine L. Borgman, 2012. "The conundrum of sharing research data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(6), pages 1059-1078, June.
    5. Carol Tenopir & Natalie M Rice & Suzie Allard & Lynn Baird & Josh Borycz & Lisa Christian & Bruce Grant & Robert Olendorf & Robert J Sandusky, 2020. "Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-26, March.
    6. Andrea K. Thomer & Karen M. Wickett & Karen S. Baker & Bruce W. Fouke & Carole L. Palmer, 2018. "Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(10), pages 1234-1245, October.
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