Data management policy

The data management policy enhances the capabilities for interdisciplinarity and therefore improves the ability of the research community to:

• apply learning from one field to another
• combine different methodological approaches and sources of information
• cross-fertilise ideas and concepts
• understand scientific, technological and environmental problems in their social and economic contexts

Data policy and management is based on the following principles:

• Publicly funded research data are a valuable, long term resource
• Data must be well managed
• Data must be made available by researchers for archiving
• Relu funds will support data management through the life of the project
• Post-programme data management will be the responsibility of the research councils.

Relu data management policy draws on current best practice within the funding research councils

A new Relu booklet Guidance on Data Management is now available.

The full data management policy is available here: Data Management Plan.pdf