Intra-consortia data sharing platforms for interdisciplinary collaborative research projects
Autor(en):
Zusammenfassung
As the importance of data in today’s research increases, the effective management of research data is of central interest for reproducibility. Research is often conducted in large interdisciplinary consortia that collaboratively collect and analyse such data. This raises the need of intra-consortia data sharing. In this article, we propose the use of data management platforms to facilitate this exchange among research partners. Based on the experiences of a large research project, we customized the CKAN software to satisfy these needs for intra-consortia data sharing.
- Vollständige Referenz
- BibTeX
Schröder, M., LeBlanc, H., Spors, S. & Krüger, F.,
(2020).
Intra-consortia data sharing platforms for interdisciplinary collaborative research projects.
it - Information Technology: Vol. 62, No. 1.
Berlin:
De Gruyter.
(S. 19-28).
DOI: 10.1515/itit-2019-0039
@article{mci/Schröder2020,
author = {Schröder, Max AND LeBlanc, Hayley AND Spors, Sascha AND Krüger, Frank},
title = {Intra-consortia data sharing platforms for interdisciplinary collaborative research projects},
journal = {it - Information Technology},
volume = {62},
number = {1},
year = {2020},
,
pages = { 19-28 } ,
doi = { 10.1515/itit-2019-0039 }
}
author = {Schröder, Max AND LeBlanc, Hayley AND Spors, Sascha AND Krüger, Frank},
title = {Intra-consortia data sharing platforms for interdisciplinary collaborative research projects},
journal = {it - Information Technology},
volume = {62},
number = {1},
year = {2020},
,
pages = { 19-28 } ,
doi = { 10.1515/itit-2019-0039 }
}
Sollte hier kein Volltext (PDF) verlinkt sein, dann kann es sein, dass dieser aus verschiedenen Gruenden (z.B. Lizenzen oder Copyright) nur in einer anderen Digital Library verfuegbar ist. Versuchen Sie in diesem Fall einen Zugriff ueber die verlinkte DOI: 10.1515/itit-2019-0039
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISSN: 2196-7032
Datum: 2020
Sprache:
(en)
(en)
Typ: Text/Journal Article

