A research data management (RDM) community for ELIXIR [version 2; peer review: 2 approved]

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...

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主要な著者:	Clare Garrard, Teresa D’Altri, Xenia Perez-Sitja, Minna Ahokas, Niclas Jareborg, Flavio Licciulli, Ivan Mičetić, Nils-Christian Lübke, Helena Schnitzer, Daniel Wibberg, Yvonne Kallberg, Flora D'Anna, Patricia M. Palagi, Mijke Jetten, Korbinian Bösl, Wei Gu, Munazah Andrabi, Katharina F. Heil, Susanna-Assunta Sansone, Ana M. P. Melo, Jiri Vondrasek, Daniel Faria, Ulrike Wittig, Anastasis Oulas, Jorge Oliveira, Pinar Alper, Robert Andrews, Siiri Fuchs, Celia van Gelder, Thanasis Vergoulis, Brane Leskošek, Krzysztof Poterlowicz, Patrick Ruch, Nazeefa Fatima
フォーマット:	Artigo
言語:	Inglês
出版事項:	F1000 Research Ltd 2024-09-01
シリーズ:	F1000Research
主題:	Data management Data stewardship Data management plans FAIR principles community standards Data management training eng
オンライン･アクセス:	https://f1000research.com/articles/13-230/v2
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