Vacancy for Data Curation Officers at STFC
7 July 2024 Science and Technology Facilities Council, Rutherford Appleton Laboratory in Oxfordshire OR Daresbury Laboratory in Cheshire Fixed Term About the role We have a new opportunity for three research officers to work on the curation of data and models within the DAFNI programme. These Data Curation Officers will work with the user community to maintain and evolve the collection of assets held in the DAFNI platform. DAFNI is a key national facility which provides data and modelling environment to support research in the national infrastructure engineering community (e.g. Energy, Transport, Telecommunications, and Water systems). The DAFNI platform maintains a collection of data and computational models which are held in repositories catalogue and indexed with appropriate metadata. To be successful, you should have a deep understanding of research data and the value of data sharing and reuse, including the FAIR data principles, as well as an awareness of the obstacles and restrictions which researchers may encounter in publishing, accessing and reusing data, arising from both technical limitations and the social environment. You should also have an understanding of researcher needs and want to work closely with them to explore those needs. Knowledge of a research domain of interest to DAFNI (e.g. Infrastructure Engineering, Environmental Science) would be an advantage. List of duties/responsibilities: Liaise with DAFNI Project stakeholders nationally and internationally to identify data and modelling needs within their use cases. Identify datasets and models with a potential high utility for DAFNI’s infrastructure research community and make them available via the DAFNI platform. Maintain a catalogue of models and datasets on the DAFNI platform, identifying under-provisioned areas for infrastructure research. Populate appropriate metadata for assets to improve the quality of annotation for search, discovery and reuse. Enrich the coverage of the metadata supported for data and other assets on the platform in line with community best practises, working to implement changes with the DAFNI Development team. Participate in community fora to share best practices and standards.
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7 July 2024 Science and Technology Facilities Council, Rutherford Appleton Laboratory in Oxfordshire OR Daresbury Laboratory in Cheshire Fixed Term About the role We have a new opportunity for three research officers to work on the curation of data and models within the DAFNI programme. These Data Curation Officers will work with the user community to maintain and evolve the collection of assets held in the DAFNI platform. DAFNI is a key national facility which provides data and modelling environment to support research in the national infrastructure engineering community (e.g. Energy, Transport, Telecommunications, and Water systems). The DAFNI platform maintains a collection of data and computational models which are held in repositories catalogue and indexed with appropriate metadata. To be successful, you should have a deep understanding of research data and the value of data sharing and reuse, including the FAIR data principles, as well as an awareness of the obstacles and restrictions which researchers may encounter in publishing, accessing and reusing data, arising from both technical limitations and the social environment. You should also have an understanding of researcher needs and want to work closely with them to explore those needs. Knowledge of a research domain of interest to DAFNI (e.g. Infrastructure Engineering, Environmental Science) would be an advantage. List of duties/responsibilities: Liaise with DAFNI Project stakeholders nationally and internationally to identify data and modelling needs within their use cases. Identify datasets and models with a potential high utility for DAFNI’s infrastructure research community and make them available via the DAFNI platform. Maintain a catalogue of models and datasets on the DAFNI platform, identifying under-provisioned areas for infrastructure research. Populate appropriate metadata for assets to improve the quality of annotation for search, discovery and reuse. Enrich the coverage of the metadata supported for data and other assets on the platform in line with community best practises, working to implement changes with the DAFNI Development team. Participate in community fora to share best practices and standards.
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