Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources. The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR's vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community. In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

Athena Research Center Athens Greece

BioData pt Portuguese Infrastructure of Biological Data Oeiras 2780 156 Portugal

Centre for Bioinformatics University of Oslo Oslo Norway

Centre for Genomic Regulation The Barcelona Institute of Science and Technology Barcelona 08003 Spain

Computer Science The University of Manchester Manchester England M13 9PL UK

CSC IT CENTER FOR SCIENCE LTD Espoo FI 02101 Finland

Department of Informatics University of Bergen Bergen Norway

Dept of Biomedical Sciences University of Padua Padova 35131 Italy

ELIXIR Hub Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SD UK

Faculty of Life Sciences CompData University of Bradford Bradford England BD7 1DP UK

Forschungszentrum Jülich GmbH Jülich 52428 Germany

Heidelberg Institute for Theoretical Studies Heidelberg 69118 Germany

INESC ID IST University of Lisbon Lisbon Portugal

Information Sciences HES SO\HEG Genève Geneva Switzerland

Institute for Biomedical Technologies Bari 70126 Italy

Institute for Biostatistics and Medical Informatics Faculty of Medicine University of Ljubljana Ljubljana Sl 1000 Slovenia

Institute of Organic Chemistry and Biochemistry of the CAS Prague Czech Republic

Luxembourg National Data Service Luxembourg L 4362 Luxembourg

National Bioinformatics Infrastructure Department of Cell and Molecular Biolog Uppsala University Uppsala Sweden

NBIS SciLifeLab Stockholm University Stockholm Sweden

Oxford e Research Centre Department of Engineering Science University of Oxford Oxford England OX13QG UK

School of Medicine Cardiff University Cardiff Wales CF14 4YS UK

SIB Swiss Institute of Bioinformatics University of Lausanne Lausanne 1015 Switzerland

Stichting Health RI Utrecht Jaarbeursplein 6 AL 3521 Netherlands Antilles

Swiss Institute of Bioinformatics University of Geneva Geneva 1206 Switzerland

The Cyprus Institute of Neurology and Genetics Nicosia Cyprus

VIB Data Core VIB Technologies Ghent 75 9052 Belgium

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Blomberg N, ELIXIR Consortium : ELIXIR position paper on FAIR data management in the life sciences [version 1; not peer reviewed]. F1000Res. 2017;6(ELIXIR):1857. (document). 10.7490/f1000research.1114985.1 DOI

Borgman C, Bourne P: Why it takes a village to manage and share data. arXive e-prints. 2021. 10.48550/arXiv.2109.01694 DOI

Cardona A, Gelder C, Palagi PM, et al. : ELIXIR-CONVERGE D2.1 Report on the identified training needs and a timeline for training courses. Zenodo. 2021. 10.5281/zenodo.4892863 DOI

Carraro M, Tosatto S, Jareborg N, et al. : ELIXIR-CONVERGE D1.2 Survey of business models. Zenodo. 2022. 10.5281/zenodo.6344131 DOI

Chue Hong NP, Katz DS, Barker M, et al. : FAIR Principles for Research Software (FAIR4RS Principles) (1.0). Zenodo. 2022. 10.15497/RDA00068 PubMed DOI PMC

Garcia L, Batut B, Burke ML, et al. : Ten simple rules for making training materials FAIR. PLoS Comput. Biol. 2020;16(5):e1007854. 10.1371/journal.pcbi.1007854 PubMed DOI PMC

Gurwitz KT, Singh GP, Bellis LJ, et al. : A framework to assess the quality and impact of bioinformatics training across ELIXIR. PLoS Comput. Biol. 2020;16(7):e1007976. 10.1371/journal.pcbi.1007976 PubMed DOI PMC

Jareborg N: ELIXIR-CONVERGE - Survey of benefits of an Data Management expert network (1.0.0).[Data set]. Zenodo. 2023. 10.5281/zenodo.7565899 DOI

Jetten M, Grootveld M, Mordant A, et al. : Professionalising data stewardship in the Netherlands. Competences, training and education. Dutch roadmap towards national implementation of FAIR data stewardship (1.1). Zenodo. 2021. 10.5281/zenodo.4623713 DOI

Jiménez RC, Kuzak M, Alhamdoosh M, et al. : Four simple recommendations to encourage best practices in research software [version 1; peer review: 3 approved]. F1000Res. 2017;6:876. 10.12688/f1000research.11407.1 PubMed DOI PMC

Mons B: Invest 5% of research funds in ensuring data are reusable. Nature. 2020;578:491. 10.1038/d41586-020-00505-7 PubMed DOI

Morgan SL, Palagi PM, Fernandes PL, et al. : The ELIXIR-EXCELERATE Train-the-Trainer pilot programme: empower researchers to deliver high-quality training [version 1; peer review: 2 approved]. F1000Res. 2017;6:1557. 10.12688/f1000research.12332.1 PubMed DOI PMC

Pergl R, Hooft R, Suchánek M, et al. : “Data Stewardship Wizard”: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning. Data Sci. J. 2019;18. 10.5334/dsj-2019-059 DOI

Rocca-Serra P, Gu W, Ioannidis V, et al. : The FAIR Cookbook - the essential resource for and by FAIR doers (1.0). Zenodo. 2022. (in press). 10.5281/zenodo.7156792 PubMed DOI PMC

Scholtens S, Jetten M, Böhmer J, et al. : Final report: Towards FAIR data steward as profession for the lifesciences. Report of a ZonMw funded collaborative approach built on existing expertise. Zenodo. 2019. 10.5281/zenodo.3474789 DOI

Tedds J, Capella-Gutierrez S, Clark-Casey J, et al. : ELIXIR EOSC Strategy 2022. Zenodo. 2022. 10.5281/zenodo.7120997 DOI

Wildgaard L, Vlachos E, Nondal L, et al. : National Coordination of Data Steward Education in Denmark: Final report to the National Forum for Research Data Management (DM Forum) (Version 1). Zenodo. 2020. 10.5281/zenodo.3609516 DOI

Wilkinson M, Dumontier M, Aalbersberg I, et al. : The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data. 2016;3:160018. 10.1038/sdata.2016.18 PubMed DOI PMC