Using data curation profiles to design the Datastar dataset registry

Using data curation profiles to design the Datastar dataset registry

Details findings regarding researcher data discovery needs vis-à-vis the evolving Datastar platform, a research data registry project at Cornell University Library, based on data curation profiles of academic library users interviewed for their views on dataset citation, provenance, versioning, and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:D-Lib magazine 2013-07, Vol.19 (7)
1. Verfasser: Wright, Sarah J
Format: Artikel
Sprache:eng
Schlagworte:
Academic libraries
Data libraries
Data processing
Datasets
Digital curation
Institutional repositories
Scholarly electronic publishing
User needs
User profiles
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Details findings regarding researcher data discovery needs vis-à-vis the evolving Datastar platform, a research data registry project at Cornell University Library, based on data curation profiles of academic library users interviewed for their views on dataset citation, provenance, versioning, and domain specific standards for metadata. Also discusses considerations for the use of this particular method for developing research data services in libraries. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
ISSN:1082-9873
1082-9873
DOI:10.1045/july2013-wright