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 you gain competences of a data steward and apply digital tools directly in hands-on workshops.
Here you learn how to handle your data efficiently while complying the FAIR principles. According to Wilkinson et al. (2016)1FAIR data means that your data is Findable, Accessible, Interoperable and Reusable. Such FAIR data builds up the fundament for a sustainable and future-orientated research exploiting its potentials.
The workshop series includes:
- Programming skills (in test-run: R, python, MATLAB)
- RDM workflows (in test-run: Data management plans, reproducibility, data preparation, data provision)
- Innovative software tools and IT-applications (in test-run: Data bases, data provision/ web services, data extraction fron external online platforms), in particular for collaboration (Git/ GitHub)
1 Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016)