Training

Participants in educational events

The EOSC CZ Training Centre regularly organises training courses focused on key aspects of Open Science, including data management following FAIR principles, use of repositories, working with data and metadata. These trainings equip participants with the practical skills and knowledge to manage and share scientific data effectively.

The number of graduates from these trainings is an important metric that reflects our community's growing level of Open Science expertise.

In the interactive overview below, you will find participants' preferences by job position, by institution or which training courses are the most attractive. The trainings run from June 2023, however, due to inconsistent data until then, only those from January 2024 are shown. Those interested in the trainings can attend online by registering or view the recordings on our EOSC CZ YouTube channel.

You might be interested

13 Feb

How is an environment for sharing and long-term preservation of research data built?

An interview with Daniel Mikšík about the role of the National Data Infrastructure, the importance of methodologists and repository managers, and the potential benefits of recognising datasets as an independent research output.

TIP

16 Dec 2025

Research Data Sets as a New Type of Research Output

From 2026 onwards, researchers and research institutions in the Czech Republic will be able to report their research data sets as a standalone research output of type T – Digital Data Collection in the RIV system. This represents a significant step towards recognising research data as a fully acknowledged result of scientific work and supports the principles of Open Science and FAIR data.

12 Dec 2025

Differential privacy allows us to assess data quality without ever accessing the data itself.

Interview with Radovan Tomášik, winner of the Poster Session competition at Long Live Research Data – EOSC CZ National Conference 2025.