There are various motivations to improve research data management. This includes external factors, such as institutional policies, (inter)national legislation and requirements from funding bodies or publishers. But improved research data management also leads to better organisation and overview of your datasets, secure storage of data preventing loss and damage and increased research integrity in the sense that other researchers can access the data your results are based on and thus validate the results.

Research Data Management (RDM) policies at the UvA

The development of the FAIR-principles, the EU General Data Protection Regulation (GDPR), the Netherlands Code of Conduct for Research Integrity, and stricter requirements by research funding bodies made it necessary to update the UvA Research Data Management Guidelines.

The central UvA Research Data Management Guidelines indicate the minimal requirements for the data management protocols of the faculties.  To justify difference between disciplines additional Faculty protocols are necessary. You can download the FGw Research Data Management Protocol using the link below.

In both the new UvA guidelines and the Faculty protocol, responsibilities are clearly distributed over four levels: researchers, institute directors, faculty board, and university. Furthermore the responsibilities are divided into three phases: before, during and after the research. For more details, please read the subpages below.

For an example how to manage research data in experimental linguistics, please download the following document.