Title (eng)

Applying Translational Principles to Data Science Curriculum Development

Author

Liz Lyon

Eleanor Mattern

Amelia Acker

Alison Langmead

Publishing

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

Description

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.

Object languages

English

Rights

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

http://creativecommons.org/licenses/by/4.0/

Classification

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

Identifiers