Community Data Curation Competencies Framework

dc.contributor.authorMurillo, Angela P.
dc.contributor.authorYoon, Ayoung
dc.contributor.departmentLibrary and Information Science, Luddy School of Informatics, Computing, and Engineering
dc.date.accessioned2024-12-19T21:54:06Z
dc.date.available2024-12-19T21:54:06Z
dc.date.issued2023-03
dc.description.abstractLibrary and information science (LIS) professionals and educators have spearheaded data curation, providing services in research data management and scientific data curation, and delivering data curation education for the academic workforce. While public and private sector community organiza-tions, such as local government, non-profit organizations, and community-based organizations have become more data-driven, the specific data cura-tion needs of these organizations are not fully addressed in current data cura-tion research or education. This research aims to bridge this gap in existing data curation education by creating a community data curation competencies framework, developing a pilot curriculum based on this framework, and evaluating and disseminating the developed curriculum. This poster presents the preliminary results of the first phase of this project, where we developed a protocol to review existing data curation competencies to create the initial framework.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationMurillo, A. P., & Yoon, A. (2023). Community Data Curation Competencies Framework. iConference 2023 Proceedings. https://hdl.handle.net/2142/117365
dc.identifier.urihttps://hdl.handle.net/1805/45134
dc.language.isoen
dc.publisheriSchools
dc.relation.journaliConference 2023 Proceedings
dc.rightsPublisher Policy
dc.sourceAuthor
dc.subjectdata curation
dc.subjectcommunity data
dc.subjectdata curation education
dc.titleCommunity Data Curation Competencies Framework
dc.typeArticle
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