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.”

The FAIR data principles from the FORCE11 group claim that research data should be Findable, Accessible, Interoperable and Reusable, and have been adopted by many funding agencies and research institutions worldwide as guiding principles.

The recommended method to address all relevant aspects related to the management of research data is 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. Read more about funders' requirements.

Funders' Requirements

Read More
Data Management Planning

Read More
Backup and Archiving

Read More
Data Documentation

Read More
Data Publication

Read More
Data Citation

Read More
Scientific Visualisation

Read More
Open Access

Read More