Title (eng)

Applying Translational Principles to Data Science Curriculum Development


Liz Lyon

Eleanor Mattern

Amelia Acker

Alison Langmead


School of Information and Library Science, University of North Carolina at Chapel Hill


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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Creative Commons License
This work is licensed under a
CC BY 4.0 - Creative Commons Attribution 4.0 International License.

CC BY 4.0 International



Curriculum development, translational data science, research data curation, iSchools

Conferences, Conference 2015

Member of the Collection(s) (3)

o:429627 Proceedings of the 12th International Conference on Digital Preservation
o:424738 Openaire v3.0 collection
o:168770 Open Access Collection