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Research Data Co-ordinator

Closing date: 
Friday, 9 April 2021

Cambridge University Libraries invite applications for the post of Research Data Coordinator.

The University of Cambridge promotes and supports open research to improve discoverability and maximise access to knowledge, in accordance with our mission to contribute to society through the pursuit of education, learning, and research at the highest international levels of excellence.

Cambridge University Libraries plays an important role as a partner in research, providing services, collections and expertise to support research excellence across the full range of academic disciplines.

The Research Data Coordinator reports to the manager of the Research Data Management Facility (RDMF). The RDMF is situated within the Cambridge University Libraries' Office of Scholarly Communication.

  • The role-holder advocates for and maintains academic community engagement and interest in research data management and sharing across the University of Cambridge. They promote the guidance in the University's Research Data Management Policy Framework, and support research staff and students in implementing its principles. They lead the management of the University-wide Data Champion programme, focusing on maintaining, growing and developing this community.
  • The role-holder delivers training on research data management and sharing to research students and staff across the University.
  • They mediate the deposition of research data into the institutional repository, following workflows and evaluating datasets. They liaise with academics to ensure that data are suitable for the repository.
  • They support researchers on request by providing tailored advice on data management and reviewing their data management plans.
  • They contribute to the development of the RDMF at Cambridge and liaise with colleagues nationally and internationally to exchange best practice.

 

https://www.jobs.cam.ac.uk/job/28889/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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