In the course we discuss:
- which laws and codes of conduct your research should comply with
- where you are going to store your data
- where you are going to archive them for the long term
- how you can make them FAIR (Findable, Accessible, Interoperable, Reusable)
The course is tailored to the faculties of VU Amsterdam and we organize it in collaboration with the university graduate schools and PhD coordinators. On this web page you can find how the course is being organised in your faculty.
This course is intended for PhD students at the VU. If you're not doing a PhD or if you're affiliated at another institution, but are nevertheless interested in this course, please get in touch with rdm@vu.nl.
Course description
In this course, we will introduce and discuss the different aspects of RDM (Research Data Management) which typically need to be covered in a DMP, such as data description, data storage during research, sharing data with colleagues, data archiving after research and data citation. The various components of research data management will be related to the FAIR principles (Findable, Accessible, Interoperable and Reusable). We will also address the ethical and legal framework, including the GDPR (General Data Protection Regulation).
You will learn why good RDM practices are necessary and how your research benefits from that. In two interactive workshops, we will provide you with practical guidelines and instruments to manage your data properly. The workshops follow the structure of the VU DMP template.
After the two workshops, you will write a first version of a DMP for your own research, so that you can apply the things you learn to your own project. Your DMP will be peer reviewed by another participant of the course and you will peer review someone else’s DMP. You will also receive feedback from a faculty data steward. After this round of feedback, you submit the final version of your DMP, which will be reviewed by one of the central data stewards.
At the end of the course, you will have a solid DMP that will guide you in managing your research data throughout your project.
Programme
The course consists of the elements described below. Part of the materials need to be studied prior to the first workshop.
Preparation (reading materials): 9 hours
2 workshops of 2 hours (online or in person): 4 hours
Assignment 1 | RDM Framework: 4 hours
Assignment 2 | First draft DMP: 6 hours
Peer review DMP: 1 hour
Assignment 3 | Final DMP: 4 hours
Total 28 hours (= 1 EC)
You can receive 1 EC for this course. In order to obtain this credit, you need to meet the following requirements:
- Participate in both workshops
- Submit all assignments
- Do a peer review of someone else’s DMP
- Assignment 3 should be of sufficient quality