ELIXIR-UK: FAIR Data Stewardship training
ELIXIR-UK: FAIR Data Stewardship training
批准号:
MR/V038966/1
负责人:
Krzysztof Poterlowicz
金额:
$110.55万
依托单位:
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
项目状态:
未结题
起止时间:
2021 至 --
中文摘要
我们的目标是建立一个国家数据管理培训计划,利用ELIXIR内部的丰富资源和专业知识,ELIXIR是一个政府间组织,将欧洲领先的生命科学组织联合起来,管理和保护公共资助的研究产生的越来越多的数据。我们将把这些研究数据管理方面的资源和专业知识引入英国,在专家和从业人员的帮助下,根据英国研究人员的需求进行定制,并通过生命科学数据管理奖学金计划将其提供给英国大学和机构。拟议的数据管理培训计划将由ELIXIR-UK开发和运行,ELIXIR-UK是英国18个组织的国家节点。其成员积极领导ELIXIR在研究数据管理培训和服务方面的大部分工作,这些工作对于确保数据的可查找性、可解释性、可互操作性和可重用性(FAIR)至关重要。尽管利益相关者在国家层面上促进数据管理,但英国生命科学研究人员生成的数据中只有一小部分是公开共享的,FAIR更少。尽管FAIR数据管理得到了全球资助机构和数据基础设施专家以及全球开放奖学金倡导者和组织的认可,但它在生成和(重新)使用数据的研究人员中并不为人所知。毫无疑问,有大量的生物信息学培训,但没有多少是关于研究数据管理的。当此类培训普遍存在时,它要么是由组织和数据提供商运行的,他们提供良好的培训,但针对自己的资源,要么是太通用而不实用,因为它没有解决数据的现实和多样性。我们的数据管理培训计划的具体目标是:1.开发和提供模块化的虚拟培训,为生命科学数据管理量身定制,以真实的实践为基础。2.建立一个生命科学数据管理员的奖学金,该奖学金将建立一个培训网络,将研究数据管理的最佳实践和培训迁移到英国的大学和研究机构。调整并为相关ELIXIR资源中公开提供的培训材料、最佳实践和研究数据管理方法做出贡献。4.我们的数据管理培训计划将广泛适用于不同数据类型(例如敏感人类数据、蛋白质组学、图像管理)、社区(例如海洋宏基因组学、植物科学、结构生物学)的社区和专业主题。我们的目标是面向多元化和包容性的受众,涵盖那些希望管理和共享生命科学数据的人:特别是(i)处于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,研究软件工程师。后者将建立连续性,在英国机构中建立可持续的立足点,并提供数据管理专业化的途径。
英文摘要
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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
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
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
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海外基金
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