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Applying Translational Principles to Data Science Curriculum Development

Lyon, L and Mattern, Eleanor and Acker, Amelia and Langmead, Alison (2015) Applying Translational Principles to Data Science Curriculum Development. In: iPres 2015, 02 November 2015 - 06 November 2015, Chapel Hill, North Carolina.

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Abstract

This paper reports on a curriculum mapping study that examined job descriptions and advertisements for three data curation focused positions: Data Librarian, Data Steward / Curator, and Data Archivist. We present a transferable methodological approach for curriculum development and the findings from our evaluation of employer requirements for these positions. This paper presents " model pathways " for these data curation roles and reflects on opportunities for iSchools to adopt translational data science principles to frame and extend their curriculum to prepare their students for data-driven career opportunities.

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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lyon, L
Mattern, EleanorEMM225@pitt.eduEMM2250000-0002-0421-0983
Acker, Ameliaaacker@pitt.eduAACKER
Langmead, Alisonadlangmead@pitt.eduADL400000-0002-9159-9797
Date: November 2015
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: iPres 2015 Proceedings
Event Title: iPres 2015
Event Dates: 02 November 2015 - 06 November 2015
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Library and Information Science
University libraries > University Library System
Refereed: Yes
Date Deposited: 22 Mar 2016 16:25
Last Modified: 24 Feb 2021 14:55
URI: http://d-scholarship.pitt.edu/id/eprint/27159

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