Research data includes all data that is collected or created in the course of research, and it must be managed responsibly throughout the entire research process,from planning and collecting, to storage, sharing, and preservation.
As a researcher, you are responsible for ensuring that data management complies with legal and ethical requirements as well as the conditions set by funders. A consolidated overview of the requirements that apply to research at the university is available on the page Responsibilities and Regulations in Research.
To manage your research data effectively, follow the steps and recommendations presented on these pages. Here you will find information about the distribution of responsibilities, available resources, and the practical support offered throughout the entire data lifecycle, all with the aim of promoting open science, research quality, and long-term preservation.
1. Plan research data
Planning and documenting your research data management is an important step in protecting your research and facilitating the reuse of data in the future.
2. Collect and process research data
Structured management of research data facilitates data collecting, processing, and future reuse. Here you will find support and tools for organizing, documenting, and managing your data throughout the research process.
3. Publish and make research data available
Publishing your research data provides increased visibility and impact. This strengthens credibility and can lead to more citations and collaborations, which in the long run can contribute to faster scientific development.
4. Archive, preserve and discard research data
By archiving, preserving and discarding research data, you ensure that your research can be understood and used in the future.
Start by deciding whether the records should be preserved or discarded. Then move on to how the records should be archived.
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