| title: |
| Intra-consortia data sharing platforms for interdisciplinary collaborative research
projects |
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| in: |
| Sonderdruck aus: |
| it - Information Technology |
|
62(1): 19-28
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|
2020
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| contributing persons: |
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| |
| 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.
[English] |
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| document type: |
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| institution: |
| Faculty of Computer Science and Electrical Engineering |
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| language: |
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| subject class (DDC): |
| 004 Data processing Computer sciences |
| 020 Library & information sciences |
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| extent: |
|
1 Online-Ressource (Seiten 19-28)
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|
| |
publication /
production: |
Berlin
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| statement of responsibility: |
| Max Schröder, Hayley LeBlanc, Sascha Spors, and Frank Krüger |
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| |
| identifiers: |
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| references: |
Erscheint auch als:
Verlags-Ausgabe
|
Erscheint auch als:
Verlags-Ausgabe
Intra-consortia data sharing platforms for interdisciplinary collaborative research
projects
|
|
| |
| access condition: |
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| license/rights statement: |
all rights reserved
This work may only be used under the terms of the German Copyright Law (Urheberrechtsgesetz). |
|
|
| RosDok id: |
rosdok_document_0000021685 |
| created / modified: |
09.03.2023 / 03.04.2024
|
| metadata license: |
The metadata of this document was dedicated to the public domain
(CC0 1.0 Universal Public Domain Dedication). |
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