The FAIR data project line builds on the policy, infrastructure and culture of data stewardship already established at TU Delft. In particular it creates a stronger bridge between the current research data policies (at TU Delft and elsewhere) and actual scientific practice.
For example, what does it mean for different groups (teams, departments, faculties, or peer groups of PhDs or early career researchers) to create and manage data in the context of the FAIR principles? What ongoing support (training, rewards and incentives) is required for this? How can assistance be provided for different methodologies and data formats? Above all, the project line focuses on making good management of data an intrinsic part of research rather than something perceived as being requested by external forces.
This project line is motivated by the belief that data stewardship cultivates:
- Best practices for ensuring that scientific arguments and results are reproducible in the long term.
- Better exposure of academic work of researchers at TU Delft leading to recognition of quality of the research process as a whole.
- Responsible management of research data, including the safe storage of personal data or protection of intellectual capital developed by scientists across TU Delft.
- Improved practices for meeting the demands of funders and publishers with respect to research data management and sharing.
What have we done so far
The TU Delft:
- Manages a data archive (4TU.ResearchData) with over 8050 datasets published
- Has published the Research Data Framework Policy to guide faculty policy and practice development - this is now being adapted by specific faculties and departments
- Has embedded 8 Data Stewards as disciplinary experts on data in each faculty
The FAIR Data plans for the future will be announced as part of the Strategic plan Open Science 2020-2024.