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The University of South Bohemia embraces the principles of Open Science across its research and education. By opening up our research processes, outputs, and knowledge, we strengthen collaboration, increase scientific impact, and make research more accessible to researchers, students, and society. Open Science encourages the responsible sharing and re-use of knowledge, innovation, and a more inclusive and trustworthy research environment.

At the University of South Bohemia, we are committed to advancing Open Science as an integral part of our research and educational mission.

How USB engages in Open Science

According to UNESCO Recommendation on Open Science, Open Science is an inclusive approach that aims to make scientific knowledge openly accessible, reusable, and beneficial to society. It encompasses a range of practices that promote transparency, collaboration, and accessibility throughout the research process, including open access to publications and research data. Digital technologies and tools further support the sharing of knowledge and collaboration among researchers and society.

Open Science is a key strategic priority of the university and is reflected in the University of South Bohemia Open Science Strategy.

As part of this strategic development, the university is developing an institutional Research Data Management Policy to promote the responsible management of research data and support transparency, reproducibility, and the long-term reuse of research outputs.

The university provides researchers with guidance and support throughout the research lifecycle, including in areas such as Open Access publishing and Research Data Management. Institutional policies, services, and infrastructures are also being progressively developed to strengthen and support the implementation of Open Science practices across the university.

Open data is data that is freely available for anyone to access, use, reuse, and share, with minimal legal or technical restrictions. It is typically published in an open and machine-readable format, enabling the data to be easily processed, analysed, and reused.

Under Section 3(5) of Act No. 106/1999 Coll., on Free Access to Information, open data refers to information published in a way that enables remote access in an open and machine-readable format, without restrictions on its subsequent use, and registered in the National Open Data Catalogue.

• Accessible – available online
• Machine-readable – provided in a format that computers can process
• Reusable – permitted for further use
• Shareable – can be redistributed under clear conditions
• Clearly licensed – conditions for reuse are transparent

• Find datasets — Browse or search for relevant open datasets.
• Check the metadata and licence — Review information about the dataset, its source, quality, and conditions for reuse.
• Access the data — Download the dataset or access it through an API, where available.
• Cite the dataset — Properly acknowledge the dataset and its source in your research or other work.
• Share your results — Where possible, openly share your findings, analyses, and derived outputs.

Before publishing data, it is important to consider personal data protection, intellectual property rights, confidentiality, security, and other legal or ethical restrictions.

Is open data always free?
- Yes, open data is free to access, but reuse conditions depend on the license.
Can personal data be open?
- No. Personal and sensitive data must be protected and are not published openly.
How do I cite open data?
- Each dataset includes a recommended citation format.
What if my data cannot be open?
- We support controlled access and FAIR-but-closed solutions where necessary.