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  FAIR Practices in Europe

Wittenburg, P., Lautenschlager, M., Thiemann, H., Baldauf, C., & Trilsbeek, P. (2020). FAIR Practices in Europe. Data Intelligence, 2(1-2), 257-263. doi:10.1162/dint_a_00048.

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Wittenburg_etal_2020_FAIR pratices in Europe.pdf (Publisher version), 168KB
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Wittenburg_etal_2020_FAIR pratices in Europe.pdf
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2019
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This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.

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 Creators:
Wittenburg, Peter1, Author           
Lautenschlager, Michael2, Author
Thiemann, Hannes2, Author
Baldauf, Carsten3, Author
Trilsbeek, Paul4, Author           
Affiliations:
1Max Planck Computing and Data Facility, Max Planck Society, Gießenbachstraße 2, 85748 Garching, DE, ou_2364734              
2DKRZ Ringgold standard institution, ou_persistent22              
3Fritz Haber Institute, Max Planck Society, Faradayweg 4-6, 14195 Berlin, DE, ou_24021              
4Technical Group, MPI for Psycholinguistics, Max Planck Society, ou_55220              

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 Abstract: Institutions driving fundamental research at the cutting edge such as for example from the Max Planck Society (MPS) took steps to optimize data management and stewardship to be able to address new scientific questions. In this paper we selected three institutes from the MPS from the areas of humanities, environmental sciences and natural sciences as examples to indicate the efforts to integrate large amounts of data from collaborators worldwide to create a data space that is ready to be exploited to get new insights based on data intensive science methods. For this integration the typical challenges of fragmentation, bad quality and also social differences had to be overcome. In all three cases, well-managed repositories that are driven by the scientific needs and harmonization principles that have been agreed upon in the community were the core pillars. It is not surprising that these principles are very much aligned with what have now become the FAIR principles. The FAIR principles confirm the correctness of earlier decisions and their clear formulation identified the gaps which the projects need to address.

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 Dates: 2020-01-312020
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1162/dint_a_00048
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Title: Data Intelligence
Source Genre: Journal
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Pages: - Volume / Issue: 2 (1-2) Sequence Number: - Start / End Page: 257 - 263 Identifier: -