Published Versions 3 Vol 2 (1) : 257–263 2019
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FAIR Practices in Europe
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Abstract & Keywords
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.
Keywords: Infrastructure; FAIR Metrics; GO FAIR Matrix
Acknowledgments
[1]
M. D. Wilkinson , M. Dumontier, I. Jan Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg et al…& B. Mons. The FAIR Guiding Principles for scientific data management and stewardship. Nature 3 (2016), 160018. doi:10.1038/sdata.2016.18
[3]
Core Trust Seal. Available at:https://www.coretrustseal.org
[8]
DataCite. Available at:https://datacite.org/
[9]
DublinCore. Available at:http://dublincore.org/
[11]
Data Cite. Available at:https://schema.datacite.org/
[17]
C. Draxl and M. Scheffler, NOMAD: The FAIR Concept for Big-Data-Driven Materials Science. MRS Bulletin 43 (2018), 676-682.
[18]
NOMAD COE. Available at:https://nomad-coe.eu
[20]
FAIR-DI. Available at:https://fairdi.eu/
[18]
P. Wittenburg & G. Strawn. Common Patterns in Revolutionary Infrastructures and Data. Available at:http://doi.org/10.23728/b2share.4e8ac36c0dd343da81fd9e83e72805a0
Article and author information
Cite As
P. Wittenburg, M. Lautenschlager, H. Thiemann, C. Baldauf & P. Trilsbeek. FAIR practices in Europe. Data Intelligence 2(2020), 257–263. doi: 10.1162/dint_a_00048
Peter Wittenburg
All authors have made meaningful and valuable contributions in revising and proofreading the resultingmanuscript. Peter Wittenburg (peter.wittenburg@mpcdf.mpg.de) has led the editorial process of the papersubmitted.
peter.wittenburg@mpcdf.mpg.de
Peter Wittenburg was Executive Director of Research Data Alliance (RDA) Europe, Member of RDA Technical Advisory Board, and Scientific Coordinator of European Data Infrastructure (EUDAT). He set up and led the Technical Group with about 30 experts at Max Planck Institute (MPI) for Psycholinguistics and then led the Language Archiving Group with about 25 experts. Since 2000 he has played leading roles in a variety of European (funded by the European Commission) and national projects (funded by MPS, DFG, BMBF, NWO 23) and ISO initiatives (ISO TC37/SC4). He won the Heinz Billing Award of the MPS for the advancement of scientific computation in 2011 and received an honorary doctorate from University Tübingen in 2013.
0000-0003-3538-0106
Michael Lautenschlager
All authors have made meaningful and valuable contributions in revising and proofreading the resulting manuscript.
Hannes Thiemann
All authors have made meaningful and valuable contributions in revising and proofreading the resulting manuscript.
Carsten Baldauf
All authors have made meaningful and valuable contributions in revising and proofreading the resulting manuscript.
Carsten Baldauf received his PhD in Biochemistry from Leipzig University. After postdoctoral visits to TU Dresden and CAS/MPG-PICB Shanghai, he joined the Theory Department at Fritz Haber Institute of the Max Planck Society in Berlin in 2010. Since 2013, he has been leading a research group that deals with accurate simulations of biomolecular structure and dynamics. Carsten teaches courses at Freie Universität Berlin and Leipzig University. In 2018, he got involved in the process of founding the association“FAIR Data Infrastructure for Physics, Chemistry, Materials Science and Astronomy e.V.” (in short: FAIR-DI, https://fairdi.eu) and has since then developed an interest in data infrastructures and ontologies.
0000-0003-3538-0106
Paul Trilsbeek
All authors have made meaningful and valuable contributions in revising and proofreading the resulting manuscript.
Paul Trilsbeek is the head of The Language Archive at the Max Planck Institute (MPI) for Psycholinguistics. He studied Sonology at the Royal Conservatory in The Hague, after which he worked as a music technologist within the Music, Mind, Machine research group at Radboud University. In 2003 he started working at the MPI for Psycholinguistics.
0000-0003-3538-0106
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