Titel (eng)

Applying Translational Principles to Data Science Curriculum Development

Autor

Lyon, Liz
Mattern, Eleanor
Acker, Amelia
Langmead, Alison

Beschreibung (eng)

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.

Sprache des Objekts

Englisch

Herausgeber

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

Rechte

Creative Commons Lizenzvertrag
Dieses Werk bzw. dieser Inhalt steht unter einer
CC BY 4.0 - Creative Commons Namensnennung 4.0 International Lizenz.

CC BY 4.0 International

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

Klassifikation

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

Conferences, Conference 2015

Mitglied in der/den Collection(s) (3)

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

Identifiers