To be Findable












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            F1. (meta)data are assigned a globally unique and eternally persistent identifier.

            F2. data are described with rich metadata.
            F3. (meta)data are registered or indexed in a searchable resource.
            F4. metadata specify the data identifier.

            If you want to make your data reusable, the first step is ensuring that both humans and ma
            find them. In order to achieve that, you should use persistent identifiers (e.g., DOI [ UR
            www.doi.org/"] or handle [ URL "http://www.handle.net/index.html"] for digital objects, OR

            "https://orcid.org/"] for authors or ROR [ URL "https://ror.org/"] for institutions) and d
            with machine-readable metadata.







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            * Persistent identifiers (= PID)
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            A persistent identifier is a long-lasting reference to digital objects, persons, instituti

            entities. Persistent identifiers are:
            • Globally unique
            • Persistent

            • Resolvable
            Persistent identifiers can take the form of a web address (e.g., the ROR for Charles Unive
            ror.org/024d6js02 [ URL "https://ror.org/024d6js02"] ), however, it is important to keep i

            is not a persistent identifier. If the content of the website moves, users will only learn
            does not exist or that the content could not be found. With persistent identifiers, either
            ensured, or information is provided that the content has been removed and it is no longer 

            it on the Internet.

            In academia, you can encounter, for example, the following persistent identifiers:

            • Persons: ORCID, ResearcherID
            • Publications and journals: DOI, ISSN, ISBN
            • Digital objects: DOI, handle

            • Organizations: ROR, Ringgold ID, ISNI
            • And more...



            Some persistent identifiers you can obtain yourself – for example, an author might registe
            ORCID for themselves. For others, however, you need a service which is authorised to assig

            – for publications it is typically the publisher, for research data, some repositories may
            service. When choosing an appropriate data repository, make sure that it assigns a persist
            your data.






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            * Metadata

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            Metadata are data that describe other data. They might include information such as the nam
            the name of the author, keywords, license information, and more. Both humans and machines 

            order to search for data, therefore, it is important to describe your data well, otherwise
            difficult to find them.



            When creating metadata, it is recommended to use standardised vocabularies and ontologies.
            that others working in the same field will be able to understand your data easily and it w

            interoperability [ URL "OSCIEN-127.html "] of your data, i.e., the possibility to combine 
            different sources. To find suitable metadata standards, you can use the FAIRsharing.org [ 
            fairsharing.org/"] platform, the DCC list of metadata standards [ URL "https://www.dcc.ac.

            standards/metadata/list"] , or the Czech formal open standards [ URL "https://data.gov.cz/
            link na novou sekci "to be interoperable"