ELIXIR 的研究数据管理 (RDM) 社区。

Q2 Pharmacology, Toxicology and Pharmaceutics F1000Research Pub Date : 2024-09-30 eCollection Date: 2024-01-01 DOI:10.12688/f1000research.146301.2
Flora D'Anna, Niclas Jareborg, Mijke Jetten, Minna Ahokas, Pinar Alper, Robert Andrews, Korbinian Bösl, Teresa D'Altri, Daniel Faria, Nazeefa Fatima, Siiri Fuchs, Clare Garrard, Wei Gu, Katharina F Heil, Yvonne Kallberg, Flavio Licciulli, Nils-Christian Lübke, Ana M P Melo, Ivan Mičetić, Jorge Oliveira, Anastasis Oulas, Patricia M Palagi, Krzysztof Poterlowicz, Xenia Perez-Sitja, Patrick Ruch, Susanna-Assunta Sansone, Helena Schnitzer, Celia van Gelder, Thanasis Vergoulis, Daniel Wibberg, Ulrike Wittig, Brane Leskošek, Jiri Vondrasek, Munazah Andrabi
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引用次数: 0

摘要

研究数据管理(RDM)是实施 FAIR(可查找、可访问、可互操作、可重用)和开放科学原则的核心。由于认识到 RDM 的重要性,ELIXIR 平台和节点对 RDM 进行了投资,并发起了各种项目和倡议,以确保良好的数据管理实践,从而实现卓越的科学研究。这些项目提供了丰富的工具和资源,对 FAIR 数据管理极具价值。然而,这些资源仍然分散在各个项目和 ELIXIR 结构中,使其传播和应用具有挑战性。因此,当务之急是协调这些努力,为 RDM 专业人员提供专门的论坛来交流知识和共享资源,从而实现可持续和统一的 RDM 实践。拟议中的 ELIXIR RDM 社区将汇集 RDM 专家,利用现有资产,制定 ELIXIR 的愿景并协调其活动。其目的是协调 RDM 最佳实践,并说明如何使用现有的 ELIXIR RDM 服务。该社区将围绕三个不可分割的支柱建立,即 RDM 专业人员网络、RDM 知识管理以及 RDM 培训专业知识和资源。它还将与外部利益相关者合作,发挥效益,并为 RDM 专业人员提供一个论坛,以便定期进行知识交流、能力建设和发展统一的 RDM 实践,与 RDM 社区的总体范围保持一致。在短期内,该社区的目标是在现有资源的基础上,确保这些资源的内容与时俱进、切合目的。从长远来看,共同体的目标是加强 RDM 专业人员的技能和知识,以支持科学界新出现的需求。共同体还将制定有效的战略,与其他 ELIXIR 机构和国际利益相关者合作,以影响和配合 RDM 领域的发展和解决方案。
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A research data management (RDM) community for ELIXIR.

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.

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来源期刊
F1000Research
F1000Research Pharmacology, Toxicology and Pharmaceutics-Pharmacology, Toxicology and Pharmaceutics (all)
CiteScore
5.00
自引率
0.00%
发文量
1646
审稿时长
1 weeks
期刊介绍: F1000Research publishes articles and other research outputs reporting basic scientific, scholarly, translational and clinical research across the physical and life sciences, engineering, medicine, social sciences and humanities. F1000Research is a scholarly publication platform set up for the scientific, scholarly and medical research community; each article has at least one author who is a qualified researcher, scholar or clinician actively working in their speciality and who has made a key contribution to the article. Articles must be original (not duplications). All research is suitable irrespective of the perceived level of interest or novelty; we welcome confirmatory and negative results, as well as null studies. F1000Research publishes different type of research, including clinical trials, systematic reviews, software tools, method articles, and many others. Reviews and Opinion articles providing a balanced and comprehensive overview of the latest discoveries in a particular field, or presenting a personal perspective on recent developments, are also welcome. See the full list of article types we accept for more information.
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