Tips for sharing data












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            * Make sure that you can actually share your data
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            Not all data can be openly shared, so make sure that you really can share your data. Many 

            whether or not you can share your data. If you work in a larger research group, all co-aut
            to data sharing. If you use third-party data, you need their author’s permission to share.

            can be indicated through an assigned license, or you can negotiate the terms of reuse and 
            with the author of the dataset. If your data include personal information, you need to eit
            information from the dataset or anonymise it, or you need to have a consent to share it. D

            with national security typically cannot be shared. In some cases, it might not even be pos
            metadata records about their existence.




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            * Share documentation along with the data
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            You should always share documentation along with your data (e.g., in the form of a Read-me

            users understand your data and to reduce the risk of misinterpretation. The form of the do
            depend on the type of data that you are sharing; it could be a list of variables and their
            aggregated demographic data of research participants, comments included in a computer scri

            When compiling the documentation for your data, think of your future self – what informati
            to interpret your data if you were to revisit them in, say, ten years?




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            * License your data
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            When sharing research data, it is recommended to assign an appropriate license [ URL "http

            openscience.cuni.cz/OSCIEN-59.html"] to them, so that users will know what they can and ca
            with your data. The most commonly used for these purposes are the Creative Commons [ URL "
            creativecommons.org/share-your-work/"] licenses, which enable authors to grant some rights

            re-users while reserving others. You can also apply a custom license to your data that bet
            needs. It is also possible to share the data under multiple licenses, such as free for non
            use and available for commercial use at a fee. If your dataset is not subject to copyright

            is recommended to label it with a Public Domain Mark [ URL "https://creativecommons.org/sh
            public-domain/"] , so that the users know that the data can be reused without further rest




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            * Use persistent identifiers
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            To make your data more findable (according to theFAIR principles [ URL "OSCIEN-50.html#8"]

            they should be assigned a persistent identifier like DOI or handle. Typically, authors can
            persistent identifier to the data themselves, this requires a service authorised to assign
            datasets, some repositories offer this service, so when selecting a suitable repository, m

            provides a persistent identifier to your dataset.




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            * Provide a recommended citation format

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            To facilitate the citation of your data [ URL "OSCIEN-132.html "] , include a recommended 
            alongside the data. This serves two purposes: it reminds users that proper citation is nee

            your data, and it makes it easier for them to cite the data. Some repositories may include
            citation format on the landing page of your dataset based on the metadata that you provide
            you can include the recommended citation format in the documentation.