Intra-consortia data sharing platforms for interdisciplinary collaborative research projects

Max Schröder; Hayley LeBlanc; Sascha Michael Spors; Frank Krüger

doi:10.18453/rosdok_id00004208

Max Schröder Hayley LeBlanc Sascha Michael Spors Frank Krüger

Intra-consortia data sharing platforms for interdisciplinary collaborative research projects

de Gruyter, 2020

In: it - Information Technology , 62(1): 19-28, 2020

https://doi.org/10.18453/rosdok_id00004208

Abstract: 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.

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Titel:

Intra-consortia data sharing platforms for interdisciplinary collaborative research projects

In:

Sonderdruck aus:

it - Information Technology

62(1): 19-28

2020

ISSN:	2196-7032

Beteiligte Personen:

Max Schröder[VerfasserIn]
	0000-0003-1522-494X
	1121592082
Hayley LeBlanc[VerfasserIn]
Sascha Michael Spors[VerfasserIn]
	0000-0001-7225-9992
	131484761
Frank Krüger[VerfasserIn]
	0000-0002-7925-3363
	1079875972

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. [Englisch]

Dokumenttyp:

Artikel

Einrichtung:

Fakultät für Informatik und Elektrotechnik

Sprache:

Englisch

Sachgruppe der DNB:

004 Informatik

020 Bibliotheks- und Informationswissenschaft

Umfang:

1 Online-Ressource (Seiten 19-28)

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