Good research data management plays an important role in carrying out transparent and integer research.

In addition, data volumes and numbers of files are constantly increasing, due to the advance of new technologies.

For that reason good data management is an essential part of data-driven research as well. In this workshop, we will introduce and discuss the different aspects of research data management which typically need to be covered in a data management plan, such as data description, data storage during research, data archiving after research and data citation. The various components of research data management will be related to the FAIR principles (that is, principles to make data Findable, Accessible, Interoperable and Reusable). We will also address the ethical and legal framework, including the General Data Protection Regulation (the new EU-law on privacy which will be in effect from May 2018).

In the afternoon, you will be presented with the tools that SURF offers to manage your research data. These include SURFdrive and SURFfilesender, amongst others. Furthermore, you will learn how to obtain PIDs (Persistent Identifiers) for your datasets.

The audience is expected to be diverse. No technical skills are required to attend.

  • Duration: 1 day
  • Prerequisites: none
  • Course Presenter: Jolien Scholten (UB) and Arthur Newton / Christine Staiger / Narges Zarrabi (SURFsara)