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Title (en)
Applying Translational Principles to Data Science Curriculum Development
Language
English
Description (en)
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.
Keywords (en)
Curriculum development, translational data science, research data curation, iSchools
ISBN
978-0-692-59881-8
Author of the digital object
Liz Lyon
Eleanor Mattern
Amelia Acker
Alison Langmead
Format
application/pdf
Size
1.3 MB
Licence Selected
CC BY 4.0 International
Conferences
Conference 2015
Name of Publication (en)
Proceedings of the 12th International Conference on Digital Preservation
Publisher
School of Information and Library Science, University of North Carolina at Chapel Hill