Research data management (RDM) is about organizing the process of data handling along the research lifecycle; from study preparation, data acquisition and processing, to archiving and publishing data for future reuse. RDM should follow the FAIR principles of data Findability, Accessibility, Interoperability and Reusability and, where applicable, GCP requirements.
To streamline the different RDM initiatives, the Data Matters community was started in 2018. This is a community of experts in topics related to RDM support.
The experts share knowledge and experience regarding RDM with each other and with others (researchers, ICT support). They participate in RDM-related activities at the Amsterdam UMC (location AMC and VUMC) and represent the Amsterdam UMC in external initiatives (e.g. NFU, DTL, National RDM coordination center, BBMRI-NL). The experts are available for providing advice and/or participating in short-term workgroups and projects. Currently the community focuses on generating information about support along the research lifecycle, on proposing guidelines for meta-data, and on development of tools to facilitate RDM (e.g. Figshare, iRods and Castor)