How to write a data management plan
What should a good data management plan look like? You should consider the following issues when planning your data management:
- What new data will you produce? What types/formats? How much?
- What existing data could you reuse?
- How will you store and back up your data?
- How will you organise and describe your data for future use?
- Who will need access to your data and how will you control this?
- What data will you want to archive after the project? Where and for how long?
- Who will archived data be available to and under what license?
- What existing resources are available to meet these needs? What additional resources may be required?
- Who will be responsible for each of these elements?
Data storage and access
The University's Cyber Security Team have created a data storage plan with information and recommendations for secure data storage and access.
GDPR
JISC provides practical resources and advice to help you understand the new GDPR legislation, which replaces the Data Protection Act in May 2018. Read the guidance here.
- GDPR and what it means for Researchers – A presentation from May 2018 organised by LIBER (Ligue des Bibliotheques Europeennes de Recherche – Association of European Research Libraries).
- The UKRI have created a five page Overview on GDPR for Researchers
Other useful links
- Quick Data Management Checklist (Digital Curation Centre)
- How to develop a Data Management Plan (Digital Curation Centre)
- Links to examples and further guidance (Digital Curation Centre)
- Veerle Van Den Eynden's blogpost Evaluating data management plans
- MDI's simple Data Management Planning tool Twenty Questions for Research Data Management