Data Train–Training in Research Data Management and Data Science
Data stewardship describes the using, documenting, managing, preprocessing, and harmonizing of data in compliance with legal and ethical obligations.
In the Operator Track Data Steward essential competencies for the efficient handling of data in accordance with the “FAIR data principles” (which state that data should be findable, accessible, interoperable and reusable; see Wilkinson et al. 2016) are taught. FAIR data form the basis for sustainable and future-oriented research that exploits its potentials.
The track includes handson workshops- on programming languages, versioning, data management plans, reproducibility,data preparation, data provisioning, and database skills.