Mgr. Marian Novotný, Ph.D.












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            Department of Cell Biology

            Faculty of Science

            ORCID: 0000-0001-8788-3202 [ URL "https://orcid.org/0000-0001-8788-3202"]

            ResearcherID: B-7036-2008
            Twitter: @majek_n [ URL "https://twitter.com/majek_n/"]






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            * What led you to open science, and how did your relationship with open science develop?

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            I was very fortunate to get into Gerard Kleywegt’s laboratory at Uppsala University for my
            which sought to promote the principle in the community of structural biologists that 3D st

            macromolecules should be published along with experimental data. Gerard also developed too
            experimental data from X-ray crystallography. Practically from the beginning of my scienti
            considered the availability of data to be a basic prerequisite for scientific projects. I 

            in the field of structural bioinformatics, which is dependent on open data and, thanks to 
            of data, has resulted in a number of valuable findings applicable in biomedicine and in th
            of diagnostic or therapeutic methods. At Charles University, I participate in the developm

            large pan-European infrastructure ELIXIR. The European ELIXIR has national hubs, and the C
            CZ [ URL "https://www.elixir-czech.cz/"] is an infrastructure that strives for the integra
            (collection, storage, organization, and analysis) of “life science” data based on FAIR pri





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            * What do you get out of open science on a daily basis?
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            In our research group CUSBG [ URL "http://bioinformatika.mff.cuni.cz/cusbg/"] , which we m
            Hoksza from the Faculty of Mathematics and Physics, Charles University, we put software (a
            to GITHUB so that they are publicly available. Within the ELIXIR CZ infrastructure, we org

            FAIR principles, open data, and tools for their management – especially relating to the Da
            Wizard tool [ URL "https://ds-wizard.org/"] , which is being developed by a colleague from
            Technical University, Robert Pergl.





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            * Why is openness in science important to you (what are the benefits)?
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            The openness of scientific data is extremely valuable because it not only allows us to acq
            knowledge faster, but the current pandemic situation shows us that open science allows us 
            vast amounts of data (more than a million fully sequenced SARS-COV2 genomes are available)

            to acquire non-trivial insights into virus biology, but also as training material for dyna
            machine learning methods. Last but not least, open science allows virtually anyone with In
            to “do science”. It is a really inspiring experience to see high school students search hu

            databases and try to understand how specific mutations can cause serious disease. Open sci
            promote the scientific careers of many students who would not otherwise have the opportuni
            direct experience with scientific work.





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            * What would you recommend to colleagues who want to use open science principles for their
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            Contact colleagues who have experience with this – if they work in the field of life scien
            happy to help in ELIXIR CZ. The Open Science Support Centre is the right place to look for
            University.





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            * In your opinion, what obstacles must one overcome so that open science can become common
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            In my opinion, obstacles occur on several levels. Of course, one must have hardware and so
            and a network infrastructure that allow data to be shared reliably and securely. It is als
            have data sharing protocols and provide training that will make it easier for users to sha

            first and foremost, scientists must be motivated to share data with positive examples.




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            * What does open science mean to you in one sentence?  

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            Open science is a natural approach to doing science that is beneficial for data users, but
            data producers.