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2009•Proceedings of the American Society for Information Science and TechnologyRequires access

Towards a cross‐disciplinary notion of data level in data curation

Allen H. Renear, Molly Dolan, Kevin J. Trainor, Melissa H. Cragin

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Abstract

Abstract Originally focused on scientific data, the data curation community is now taking up the curation problems of humanities data as well. Sharing concepts and terminology across these domains should be valuable for both the practice of data curation, and the education of data curation professionals. To convene a discussion of the possibilities we outline an exercise mapping NASA's well‐known four “data levels” to practices and concepts in traditional textual criticism.

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What this paper is about

Abstract Originally focused on scientific data, the data curation community is now taking up the curation problems of humanities data as well. Sharing concepts and terminology across these domains should be valuable for both the practice of data curation, and the education of data curation professionals. To convene a discussion of the possibilities we outline an exercise mapping NASA's well‐known four “data levels” to practices and concepts in traditional textual criticism.

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Available abstract

Abstract Originally focused on scientific data, the data curation community is now taking up the curation problems of humanities data as well. Sharing concepts and terminology across these domains should be valuable for both the practice of data curation, and the education of data curation professionals. To convene a discussion of the possibilities we outline an exercise mapping NASA's well‐known four “data levels” to practices and concepts in traditional textual criticism.

Key concepts: Data curation, Terminology, Data science, Discipline, Data sharing, Computer science, Sociology, Social science

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