Principal Research Data Consultant (Social Sciences)

Posted to IASSIST on: 2022-03-23

Employer: University College London

Employer URL:


Principal Research Data Consultant (Social Sciences)
Grade: 9
Research Data Services, Centre for Advanced Research Computing (ARC)
Location: Bloomsbury Campus, London

Main purpose of the job

The Principal Research Data Consultant (Social Sciences), supports UCL’s research community, providing consultancy and data stewardship services. They will be actively involved in research projects addressing data stewardship challenges in the social sciences and the development of services that address those challenges.

The post-holder will work especially closely with UCL’s Institute of Education (IoE) and Faculty of Social and Historical Sciences (SHS). They will also work with the Head of Trusted Research to ensure the appropriate use and development of UCL’s Data Safe Haven services.

The post-holder is responsible for:

  • Providing researchers with technically-focused research data management advice and consultancy
  • Leading on the good-practice management of data for research projects (planning, workflows and processes, data documentation, long-term curation)
  • Leading on ARC research proposals and research projects relating to the management of research data
  • Developing best practice data management techniques, drawing on recognized metadata standards and ontologies, FAIR data principles, and Open Science values
  • Contributing to research data service design and suggesting improvements based on researcher requirements
  • Acting as ‘service owner’ for Research Data services specific to the Social Sciences
  • Managing staff with consultancy and project support responsibilities within the Research Data Group

Duties and responsibilities

Data Management Consultancy

  • Work with researchers and project team in the social sciences to help them define, develop, and adapt their data management processes
  • Ensure that the requirements and expectations of funders, 3rd-party data providers, data protection laws, and UCL policies are met.
  • Advise on technologies, services, and techniques to support good-practice data management and research integrity
  • Liaise with colleagues in the Library to ensure that all aspects of the research data lifecycle are supported and it is clear who should be consulted on different aspects of data management, curation, and research integrity

Lead on the development of research funding proposals

  • Proactively engage with research teams to identify opportunities to engage with projects
  • Partner with UCL researchers on research grants
  • Lead on identifying new research opportunities involving data infrastructure, standards, interoperability, transformations, workflows, or other relevant topic
  • Lead on bid development for funded ARC projects Develop best-practice data management techniques
  • Keep abreast of publications and reports relating to research data management – both academic and policy-related
  • Conduct research into what constitutes effective data management and stewardship in the social sciences and academic research more generally
  • Publish papers, code, and data that will have impact on the research data management and academic research communities
  • Attend, and present at, relevant conferences, workshops, and events

Contribute to Research Data service design

  • Draw on your knowledge and experience of data management in the social sciences to suggest new UCL-supported services and improvements to existing services to better meet community needs
  • Work on project teams to design, develop, test, and communicate UCL services and infrastructure.
  • Act as a representative and voice of the research community during service and infrastructure development, liaising with project staff and senior researchers as appropriate

UCL is a world-leading teaching and research university, often ranked in the top ten in the world with an annual turnover of well over £1 billion. Part of UCL’s vision is to take on the hardest global challenges.

The UCL Centre for Advanced Research Computing (ARC) is UCL’s new institute for infrastructure and innovation in digital research - the supercomputers, datasets, software, and people that make computational science and digital scholarship possible.

We are an innovative hybrid: a professional services department that delivers reliable and secure infrastructure and services to UCL research groups, and a laboratory for research and innovation in the application of advanced computational and dataintensive research methods, working in partnership with academics from all fields.

We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in the delivery of UCL research, providing outstanding career development opportunities for these new kinds of research professionals.

This post will be based in the Research Data Group within ARC. The Research Data Group provides data management and stewardship services across UCL’s research community. Services include managed data storage, data publication, electronic research notebooks, and research information management. The group supports research reproducibility and open science, facilitating the confident re-use of research outputs in innovative ways. This is a rapidly developing field, and the group is expanding to reflect that.

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Archived on: 2022-06-01