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Research Data Management: Further Guidance

University of Hull researchers: contact to discuss your options for storing and sharing research data.

Introducing the Digital Curation Centre

Funded by JISC and based primarily in Edinburgh, the Digital Curation Centre "is an internationally-recognised centre of expertise in digital curation with a focus on building capability and skills for research data management".  This short video (12 minutes) introduces their resources and services for researchers in the UK and elsewhere.  

Further information about the Digital Curation Centre's Training opportunities, including discipline-specific resources and recommendations for external providers.

Self-study materials

A selection of learning resources developed for the academic researcher:

Understanding RDM terminology:

  • Research Data Management Glossary,  from CASRAI,  the non-profit Consortia Advancing Standards in Research Administration Information (now part of EuroCRIS).  Updated annually.

  • The US National Library of Medicine's Data Thesaurus, with definitions written for research administrators (last updated 2018).

Further reading on RDM good practice

Written for authors submitting papers to AGU journals, but relevant to all researchers in STEM disciplines. Advice on selecting and describing data, choosing a repository, preparing a data availability statement, and citing data (including your own).

Targeted at early career researchers, this resource from the health and medical research funder Wellcome Trust includes how-to guides, case studies, myth-busting and tips.

A plain English overview of the legal principles which apply to the collection, processing and retention of personal data, including legitimate bases for retaining data, and data subjects' rights.

Colavizza et al, PLOS One

A 200 page manual from the Consortium of European Social Sciences Data Archives, to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).

Published by ALLEA (All European Academies), readable and practical recommendations.

A blog post from UK-based environmental monitoring business Microgenetics, outlining the ALCOA principles for data integrity (Attributable, Legible, Contemporaneous, Original and Accurate).  This framework was originally introduced by the US Food and Drug Administration in the 1990s and is now adopted by health and medical regulatory agencies worldwide. 

Ana Sofia Figueiredo
Frontiers in Public Health 2017; 5: 327. doi: 10.3389/fpubh.2017.00327

Mark D. Wilkinson et al
Scientific Data 2016;  3: 160018.  doi:

Further reading on RDM policy

An overview of open research data policy and infrastructure landscape in UK, commissioned by Jo Johnson at the Department for Business, Energy & Industrial Strategy.

Published by SPARC Europe, the Scholarly Publishing and Academic Resources Coalition.
See also their Open Data Resources (2017-), a collection of literature for open data policy-makers and advocates.

"The ODI was co-founded in 2012 by the inventor of the web Sir Tim Berners-Lee and artificial intelligence expert Sir Nigel Shadbolt to show the value of open data, and to advocate for the innovative use of open data to affect positive change across the globe. We work with companies and governments to build an open, trustworthy data ecosystem".

Launched in 2013 by the European Commission with US and Australian government departments, "with the goal of building the social and technical infrastructure to enable open sharing and re-use of data".  Resources include Working Groups for specific disciplines and functions, and infrastructure solutions such as metadata standards and model workflows.