Community of Data Stewards

The community brings together professionals involved in research data management who want to support each other, share experience, and further develop the field. Together, they contribute to improving methodologies, tools, and services across Czech institutions.

What the community offers:

sharing practical experience and solving real problems,
regular discussions, meetings, and workshops.
an active online space where data stewards discuss practical questions on a daily basis, share tips, and support each other.

The community is also open to researchers who want to learn how to work with research data more effectively or who need support with specific data-related tasks.

Join the Community

Data Stewards Map in the Czech Republic

The Data Steward Map helps researchers quickly find a data steward at their institution who can support them with research data management. At the same time, it allows institutions to showcase their support teams and provides an overview of how the data steward role is developing across Czech research institutions.

Who does the map help?

Researchers: Easily find support for managing research data.
Institutions: Demonstrate how they support Open Science.
Data stewards: Increase visibility, gain recognition, find inspiration, and develop collaboration opportunities.

I wanna be on the map

Additional Useful Resources for Data Stewards

You might be interested

30 Sep

Good Girl, Scientist, Yogi

Anastasiia Prytuliak on materials science, life in Japan, Ukrainian resourcefulness, and building a new data repository

22 Sep

Data stewardship across Europe: practical experience, AI and community exchange in Prague

How is data stewardship evolving across Europe? Where can artificial intelligence already support research data management in practice, and why is it important to discuss “negative” research data? These were some of the questions explored at the sixth meeting of the Czech data steward community, held on 17 September at the National Library of Technology in Prague. Once again, the event combined practical experience, emerging topics and open community discussion.

18 Sep

“Poorly described data are like a book shelved in the wrong place. They practically don’t exist,” explains Petra Černohlávková.

A researcher may spend years collecting valuable data. But if those data remain on a personal drive without proper description, they effectively do not exist for anyone else. Metadata determine whether data can be found, understood and reused, and their importance is growing further with the rise of artificial intelligence. “For AI tools, well-structured and rich metadata are a gold mine,” says Petra Černohlávková, Head of the Repositories and Metadata Management Department at the National Library of Technology. In the interview, she explains why simply storing data is not enough, how the right repository can make a difference, and where AI can already reliably take over part of the work.

16 Sep

Zenodo Leads the Way, but Czech Researchers Use Dozens of Different Repositories for Their Data

Where do Czech researchers store their data, and at what stage of the research process are data most often deposited in repositories? The results collected so far from 193 respondents identified a total of 70 different repositories, databases and other storage solutions. Zenodo is the clear leader, while specialised databases used in molecular biology, genomics and proteomics are also strongly represented.