Where to find existing data












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            The easiest way to find already existing data relevant to your research is by looking at u

            published alongside research articles. As an increasing number of academic journals requir
            data are shared, you can find links to relevant datasets as part of published articles (fo
            link shared in a Data availability statement or as Supplementary material). While citing d

            publications is not yet very common, it is becoming increasingly frequent and the number o
            underlying data is expected to rise.
            A reliable source of data are research data repositories. These can be either general (suc

            "https://zenodo.org/"] , Figshare [ URL "https://figshare.com/"] , Dryad [ URL "https://da
            stash"] , or platforms like OSF [ URL "https://osf.io/"] ) or subject specific (you can us

            Research Data Repositories [ URL "https://www.re3data.org/"] to find subject specific repo
            Another reliable source of existing research data are data journals, which publish peer-re
            that describe published datasets and so ensure that the datasets are well described and of

            In addition to these sources, you may also use dataset search engines such as Mendeley Dat
            data.mendeley.com/"] or Google Dataset Search [ URL "https://datasetsearch.research.google
            In your research, you can also use public administration data published as open data which

            the National Open Data Catalogue [ URL "https://data.gov.cz/datasets"] (NKOD).
            When you find any data related to the issue that you are researching, make sure that they 
            suitable for your research and that you can use them.






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            * Make sure that:

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            • the data come from a trusted source (e.g., a certified repository, a well-known author, 
              data journal)

            • the data are sufficiently described and include context in which they were collected or 
              who were the participants, what were the conditions etc.)
            • the data are in a format that you can use (is there any specialised software that you ne

              the data?)
            • you are allowed to reuse the data and under what conditions, e.g., does the license spec
              conditions? Do you have the author’s permission?

            • the data will be preserved (is there a risk the data will be deleted or lost, e.g., if t
              published on the author’s website? Can you make a copy?)