Research data drives the digital research process as it is both the basis and the result of research. A central task for individual researchers and research institutions is to preserve and to manage the increasing amount of research data. Therefore research data management should be recognised as arrangements which ensure the usability of research data. The research data policy of the University of Göttingen puts it like this “Management of research data includes their planning, collection, processing, and preservation. It ensures the access to, and the reuse, reproducibility, and quality assurance of all research data underpinning research results.”

A good method to address all relevant aspects related to the management of research data is to use a checklist or to write a data management plan.

Göttingen University and an increasing number of funders require new research proposals with research data to be accompanied by a data management plan. Such a plan is not only an essential first step to take at the pre-project stage, it can also be very useful to refer to and adapt throughout the project.

Learn more about Research Data Management by exloring the sections below or contact us!

Funders' Requirements

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Data Management Planning

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Backup and Archiving

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Data Documentation

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Data Publication

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Data Citation

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