Data Curation Competencies, Skill sets, and Tools Analysis

dc.contributor.authorMurillo, Angela P.
dc.contributor.authorYoon, Angela
dc.contributor.authorDuncan, Mitch
dc.contributor.authorThomas-Fennelly, Adam
dc.date.accessioned2024-11-18T18:29:53Z
dc.date.available2024-11-18T18:29:53Z
dc.date.issued2024
dc.description.abstractThe project aims to extend the current understanding of data curation competencies by examining existing skill sets and tools through a systematic analysis of data curation literature. For this research, the researchers reviewed forty-two data curation-related documents, including peer-reviewed literature, conference papers, and book sections through descriptive quantitative analysis and inductive qualitative content analysis based on a systematically created document protocol to extract informational items about the documents, as well as competencies, skills, and tools relevant to data curation activities. This paper presents the preliminary findings of this analysis and future steps for this project.
dc.description.sponsorshipThis project is supported by the Institute of Museum and Library Services Grant # RE-252380-OLS-22.
dc.identifier.citationMurillo, A. P., Yoon, A., Duncan, M., & Thomas-Fennelly, A. (2024). Data curation competencies, skill sets, and tools analysis. In: Sserwanga, I., et al. Wisdom, Well-Being, Win-Win. iConference 2024. Lecture Notes in Computer Science, vol 14596. Springer, Cham. https://doi.org/10.1007/978-3-031-57850-2_26
dc.identifier.urihttps://hdl.handle.net/1805/44597
dc.language.isoen_US
dc.publisherSpringer
dc.relation.isversionof10.1007/978-3-031-57850-2_26
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData Curation
dc.subjectDigital Curation
dc.subjectLocal or Community Data
dc.titleData Curation Competencies, Skill sets, and Tools Analysis
dc.typeConference paper
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