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Key terms and explanations for data management

Data management ensures the widest possible transparency, discoverability, accessibility, usability and, where possible, open re-use of research data.

Research infrastructures play an important role in the production and use of research data.

FAIR stands or principles describing good practice in the management of research data. Data should be as discoverable, accessible, interoperable and reusable as possible.

The Open Science Centre offers support in preparing data management plans for projects funded by the Research Council of Finland.

Data management is taking care of the research datasets, anticipating the any risks involved in its use, enables its widespread use and sharing, and where possible, opening it.

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