ELIXIR-UK: FAIR Data Stewardship training

ELIXIR-UK：公平数据管理培训

• 批准号: MR/V038966/1
• 负责人: Krzysztof Poterlowicz
• 金额: $ 110.55万
• 依托单位: University of Bradford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FV038966%2F1
• 关键词: ELIXIR; UK; FAIR; Data; Stewardship

Our aim is to establish a national Data Stewardship training programme, exploiting a wealth of resources and expertise within ELIXIR, an intergovernmental organisation that unites Europe's leading life science organisations in managing and safe-guarding the increasing volume of data being generated by publicly funded research. We will lift these resources and expertise in research data management into the UK, tailoring them to needs of the UK researchers with the help of a pool of experts and practitioners, and delivering them to UK universities and institutions through a Life Science Data Stewardship Fellowship programme.The proposed Data Stewardship training programme will be developed and run ELIXIR-UK, the UK national node of 18 organisations. Its members actively lead much of the ELIXIR work in training and services for research data management that are essential to ensure that data is Findable, Accessible, Interoperable and Reusable (FAIR).Despite the promotion of data stewardship by stakeholders at a national level, only a fraction of data generated by UK life science researchers is openly shared and far less is FAIR. Although FAIR data management is endorsed by funding agencies and data infrastructure specialists worldwide, as well as global open scholarship advocates and organisations, it is less well known among researchers who generate and (re)use data. Undoubtedly there is a great deal of bioinformatics training but not much of this is on research data management. When such training exists generally it is either run by organisations and data providers, who offer good training but tailored to their own resources, or it is too generic to be usefully practical, because it does not address the realities and varieties of data.The specific objectives of our Data Stewardship training programme are:1. To develop and deliver modularised virtual training tailored for Life Science data stewardship grounded in real practice.2. To establish a fellowship of Life Science Data Stewards that will seed a training network to migrate research data management best practice and training into UK universities and research institutions.3. To adapt and contribute to openly available training materials, best practice and research data management methods in relevant ELIXIR resources.4. To maintain training materials, know-how and a self-sustained fellowship network.Our Data Stewardship training programme will be broadly applicable across communities and specialist topics by data type (e.g. sensitive human data, proteomics, image management), community (e.g. marine metagenomics, plant sciences, structural biology). We aim to target a diverse and inclusive audience, covering those looking to manage and share life science data: specifically (i) biomedical researchers and healthcare specialists at all career stages, and (ii) their research support staff, such as data stewards, technicians, facility operators, research software engineers. The latter will build continuity, establish a sustainable foothold in UK institutions and provides a route to professionalisation of data stewardship.

我们的目标是建立一个国家数据管理培训计划，利用ELXIR内部的丰富资源和专业知识，ELIXIR是一个政府间组织，联合欧洲领先的生命科学组织管理和安全保护由公共资金资助的研究产生的日益增长的数据量。我们将把这些研究数据管理方面的资源和专业知识带到英国，在一批专家和从业者的帮助下，根据英国研究人员的需求进行量身定做，并通过生命科学数据管理奖学金计划将它们提供给英国的大学和机构。拟议的数据管理培训计划将开发和运行ELIXIR-UK，这是英国18个组织的国家节点。它的成员积极领导研究数据管理的培训和服务方面的大部分灵丹妙药工作，这些工作对于确保数据可找到、可访问、可互操作和可重复使用(公平)至关重要。尽管利益相关者在国家层面促进了数据管理，但英国生命科学研究人员产生的数据中只有一小部分是公开共享的，更少的数据是公平的。尽管公平的数据管理得到了世界各地的资助机构和数据基础设施专家，以及全球开放学术倡导者和组织的支持，但在生成和(重新)使用数据的研究人员中，这一点却不太为人所知。毫无疑问，有大量的生物信息学培训，但很少有研究数据管理方面的培训。当这类培训普遍存在时，它要么由组织和数据提供商运营，他们提供良好的培训，但根据自己的资源量身定做，要么过于笼统，不实用，因为它没有处理现实和各种数据。我们的数据管理培训计划的具体目标是：1.开发和提供基于实际实践的模块化虚拟培训，以适应生命科学数据管理2.建立生命科学数据管家联谊会，建立一个培训网络，将研究数据管理最佳实践和培训移植到英国的大学和研究机构。调整和促进相关灵丹妙药资源中公开可用的培训材料、最佳做法和研究数据管理方法。我们的数据管理培训计划将广泛适用于社区和按数据类型(例如敏感人类数据、蛋白质组学、图像管理)、社区(例如海洋元基因组学、植物科学、结构生物学)划分的专业主题。我们的目标是面向多样化和包容性的受众，包括那些希望管理和共享生命科学数据的人：特别是(I)所有职业阶段的生物医学研究人员和医疗保健专家，以及(Ii)他们的研究支持人员，如数据管理员、技术人员、设施操作员和研究软件工程师。后者将建立连续性，在英国机构中建立一个可持续的立足点，并提供一条通往数据管理专业化的道路。

项目成果

The FAIR Cookbook - the essential resource for and by FAIR doers.

• DOI: 10.1038/s41597-023-02166-3
• 发表时间: 2023-05-19
• 期刊: SCIENTIFIC DATA
• 影响因子: 9.8
• 作者: Rocca-Serra, Philippe;Gu, Wei;Ioannidis, Vassilios;Abbassi-Daloii, Tooba;Capella-Gutierrez, Salvador;Chandramouliswaran, Ishwar;Splendiani, Andrea;Burdett, Tony;Giessmann, Robert;Henderson, David;Batista, Dominique;Emam, Ibrahim;Gadiya, Yojana;Giovanni, Lucas;Willighagen, Egon;Evelo, Chris;Gray, Alasdair J. G.;Gribbon, Philip;Juty, Nick;Welter, Danielle;Quast, Karsten;Peeters, Paul;Plasterer, Tom;Wood, Colin;van der Horst, Eelke;Reilly, Dorothy;van Vlijmen, Herman;Scollen, Serena;Lister, Allyson;Thurston, Milo;Granell, Ramon;FAIR Cookbook Contributors;Sanson, Susanna-Assunta
• 通讯作者: Sanson, Susanna-Assunta

FAIR in action - a flexible framework to guide FAIRification.

• DOI: 10.1038/s41597-023-02167-2
• 发表时间: 2023-05-19
• 期刊: SCIENTIFIC DATA
• 影响因子: 9.8
• 作者: Welter, Danielle;Juty, Nick;Rocca-Serra, Philippe;Xu, Fuqi;Henderson, David;Gu, Wei;Strubel, Jolanda;Giessmann, Robert T.;Emam, Ibrahim;Gadiya, Yojana;Abbassi-Daloii, Tooba;Alharbi, Ebtisam;Gray, Alasdair J. G.;Courtot, Melanie;Gribbon, Philip;Ioannidis, Vassilios;Reilly, Dorothy S.;Lynch, Nick;Boiten, Jan-Willem;Satagopam, Venkata;Goble, Carole;Sansone, Susanna-Assunta;Burdett, Tony
• 通讯作者: Burdett, Tony