Data management in practice

This section provides information and guidance on data and project management for each stage of the research data life cycle.

It will help you identify existing data, understand your data, document your data and any derived datasets you may produce, as well as sharing your data and analysis code.

Topics areas are aimed at users of secondary data. Although some topics may be more relevant to the collection of primary data, they are also important when working with secondary data.

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Guidance

Best practice in the management of research

How to make sure the way you manage research data follows best practice, based on the research councils’ common principles on data.

Data management in practice

Best practice in the management of research

In this section

Data management in practice

Planning data management

Collecting, storing and processing data

Analysing your data

Preserving and sharing data and code

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Cross-study research

Data management

Dissemination and impact

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