Increasingly, funding agencies and publishers require researchers to plan the management of their data. Importantly, research data management (RDM) helps researchers to properly organize their entire research lifecycle such as ethical and legal aspects, storage, archivering, sharing, etc. It also supports the reproducibility of research results and accordingly raises the visibility and impact of research. However, to respond to the contemporary requirements, the researchers require knowledge and skills. After completing this course, participants will be (1) equipped to identify requirements, tools, and resources when writing data managementplans, and (2) able to identify the components of good data management plans.
This course endeavors to help each participant acquire, inter alia, basic knowledge and a good understanding of data management plans (DMPs), including the basic concepts of (RDM), the research data life cycle, and the components of a DMP. At the end of the course, each participant will be able to write a DMP that meets the rules and standards of the particular funder, discipline, and/or research group.
Dates and location:
Course HC01: 21, 22, 23 November 2023
9h30 - 12h30
Maarten Vermeyen (Research, Innovation & Valorisation Antwerp)
Language of the course:
This course counts for 1 point
Via SisA Self Service. Log in with your student account. Registration is possible from 5 September and after re-enrollment as PhD student.