How to be FAIR when you CARE: The DGS Corpus as a Case Study of Open Science Resources for Minority Languages

Link:

https://doi.org/10.25592/uhhfdm.10243

Autor/in:

Verlag/Körperschaft:

Universität Hamburg

Erscheinungsjahr:

2022

Medientyp:

Text

Schlagworte:

FAIR
CARE
Language Data Ethics
Sign Languages

Beschreibung:

Poster presentation for the sign-lang@LREC 2022 paper "How to be FAIR when you CARE: The DGS Corpus as a Case Study of Open Science Resources for Minority Languages". Outlines how the DGS-Korpus project follows the FAIR and CARE principles in the creation of the DGS Corpus and its public portals MY DGS and MY DGS – annotated.
{"references": ["Wilkinson, Mark D. et al. (2016). \"The FAIR Guiding Principles for scientific data manage- ment and stewardship\". In: Scientific Data 3, p. 160018. issn: 2052-4463.", "Carroll, Stephanie Russo et al. (2020). \"The CARE Principles for Indigenous Data Gover- nance\". In: Data Science Journal 19.1, p. 43. issn: 1683-1470."]}

relatedIdentifier:

URL https://www.sign-lang.uni-hamburg.de/lrec/pub/2022.lrec-1.18.html URL https://meine-dgs.de URL http://ling.meine-dgs.de DOI 10.25592/uhhfdm.10242

Lizenzen:

https://creativecommons.org/licenses/by/4.0/legalcode
info:eu-repo/semantics/openAccess

Quellsystem:

Forschungsdatenrepositorium der UHH

Interne Metadaten

Quelldatensatz: oai:fdr.uni-hamburg.de:10243