Managing research data: guidance

This guidance provides best-practice advice on managing your research data throughout the lifecycle of your project.

Create

Guidance on data management for funding bids, data planning, format selection, Intellectual Property Rights, data protection and ethics.

Organise and care

Guidance on naming files, structuring folders, version-control, documenting your work, storing and backing up your data and reference management.

Access and share

Guidance on accessing your research data from off-site, sharing files with others, locating existing data for your research, citing data and how the Freedom of Information Act applies to your research.

Curate and preserve

Guidance on maintaining your data over time, archiving, selection for retention, using digital repositories and open access.

Contacts

People supporting research and research data management.

The Digital Curation Centre (DCC) Curation Lifecycle ModelDCC Curation Lifecycle Model

The DCC Curation Lifecycle Model provides a graphical, high-level overview of the stages required for successful curation and preservation of data from initial conceptualisation through the iterative curation cycle. The model can be used to plan activities within a specific research project, organisation, or consortium to ensure all necessary stages are undertaken, each in the correct sequence.


These guidance pages have been adapted from material provided by the University of Cambridge, University of Glasgow, the University of Edinburgh, Northumbria University, MIT, the University of Leicester, the Digital Curation Centre and the UK Data Archive. Thanks are offered to these organisations accordingly. 

(Materials created by the UWE JISC MRD project are re-useable via a Creative Commons license: CC BY-NC-SA 2.0 UK)

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