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Open Science


Open access to scientific information – re-use research results, data, procedures, hypotheses, etc. (applies to scientific publications and research data).

A model of scientific communication that ensures permanent, immediate, accessible and free online access to the full texts of published scientific results (most often articles) without restriction for anyone.

Open Science on MUNI

Open Access

Open Access to scientific publications includes:

  • Reviewed scientific-research journal articles and their manuscript versions.
  • Conference papers, monographs, articles in proceedings, textbook and commentary publications containing scientific information.

This is free and unlimited online access to this information with the right to further use the content through the so-called public licenses.

The Open Access project condition can be met in two ways, it is possible to choose (according to the publishers' conditions):

  1. Gold Open Access – Publishing in open journals (OA provided by publishers).
  2. Green Open Access – Self-archiving (publications) in open repositories (OA provided by the authors).
Open (FAIR) Data

Data sharing/publishing – an essential tool for accelerating and improving the research process. It brings new opportunities for profiling and active involvement of MUNI in European and international activities (e.g. European Open Science Cloud, EOSC, etc.).

Under pressure from grant providers, the need to store, share and publish research data is becoming increasingly relevant also within MUNI. Since 2014, it is a condition for selected areas of research of the EU Horizon 2020 program, since 2017, the obligation has been extended to all supported projects from this program. Similar requirements are already in place or being prepared by other international programming schemes (e.g. Horizon Europe). They also occur within the framework of the National R&D&I Policy 2021+ and subsequent interventions of support providers.

The abbreviation FAIR is formed from the initial letters of the four main principles of FAIR Data:

  • F – Findable
  • A – Accessible
  • I – Interoperable
  • R – Reusable

Making data available according to FAIR principles Data does not mean automatically making data available to anyone. The aim is to follow the principle "as open as possible, as closed as necessary".


  • Advice on choosing a journal concerning the possibilities of fulfilling Open Access (Green OA – unpaid, Gold OA – paid, more info here)
  • Communication with the publisher, prevention of predatory magazines and conferences
  • Ensuring compliance with the OA Green condition by saving and setting the file parameters accordingly in the University Repository MU (Creative Commons license, setting a time embargo for publication)
  • Advice on selecting a suitable repository for storing research data concerning their nature (field, type, and size)
  • Support for Data Management Plan (DMP). Due to the field knowledge, the implementation of the DMP is always a domain matter of the scientist. We will provide researchers with tips on DMP management tools, sample DMP plans, or provide technical support
  • Educational and awareness-raising activities in Open Science for researchers and administrative staff of MU (training, workshops), e.g. here.
  • Individual consultations in the area of Open Science for scientists
  • We are involved in the HR4MUNI OA project, which addresses Open Science at the university level


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