Data Rescue at the U.S. National Agricultural Library: Case Studies of 3 Hybrid Collections

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dc.contributor.authorShiue, Hilary Szu Yin
dc.contributor.authorClarke, Cooper
dc.contributor.authorFenlon, Katrina
dc.date.accessioned2021-01-24T19:19:35Z
dc.date.available2021-01-24T19:19:35Z
dc.date.issued2020-11-09
dc.description.abstractWhile the open science movement facilitates discussions in managing, preserving and curating data from active and ongoing research, data rescue efforts respond to the growing recognition of the value and reuse potential of data biding in unpublished records and collections of legacy research materials. Making data embedded in these records available for reuse may support longitudinal analysis, meta-analysis, and cross-disciplinary research. The data rescue project was led by graduate fellows in the University of Maryland College of Information Studies (iSchool) Digital Curation Fellowship, a cooperative agreement between iSchool and the U.S. National Agricultural Library. We identified 18 assessment factors after conducting three case studies to investigate potential issues of curating collections with the purpose of data recovery and reuse. Although there is no one-size-fit-all solution to process and appraise data-rich collections, the 18 assessment factors assist curators to navigate different issues and find most suitable methods to make research data available.en_US
dc.description.sponsorshipData Rescue project is the product of research conducted under a Non-Assistance Cooperative Agreement #58-8260-6-003 between the University of Maryland and the United States Department of Agriculture (USDA), Agricultural Research Service (ARS), National Agricultural Library with funding provided by the USDA, ARS, Office of National Programs.en_US
dc.identifierhttps://doi.org/10.13016/af7v-k5dj
dc.identifier.citationShiue, H., Clarke, C. T., & Fenlon, K. (2020, November 9-12). Data Rescue at the U.S. National Agricultural Library: Case Studies of 3 Hybrid Collections [Poster presentation]. Research Data Alliance 2020, Costa Rica.en_US
dc.identifier.urihttp://hdl.handle.net/1903/26691
dc.language.isoen_USen_US
dc.publisherResearch Data Alliance 16th Plenaryen_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.subjectdigital curationen_US
dc.subjectdata reuseen_US
dc.subjectdata curationen_US
dc.subjectdigital preservationen_US
dc.subjectscientific research dataen_US
dc.subjectagricultureen_US
dc.titleData Rescue at the U.S. National Agricultural Library: Case Studies of 3 Hybrid Collectionsen_US
dc.typePresentationen_US

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Digital Curation Fellows - National Agricultural Library