Myths about data sharing












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            * My data are not interesting for others.

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            They might be! Your data can be valuable not only to researchers within your field but als
            from other disciplines who can apply new methods to analyse it or merge it with other data

            insights. It is difficult to predict which data will be essential for future research.



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            * If someone is interested in my data, they can send me an e-mail.

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            This approach not only complicates access to data for users but also burdens the authors w
            the requests individually. In addition, there is a risk that the researcher might lose the

            hardware failure or human error, or if a longer period has passed since the publication of
            researcher might not remember which file was used for the data analysis.



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            * Sharing data is time consuming and expensive

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            It is important to manage your data carefully throughout the research project. Making data
            regular part of your research practice significantly reduces the time and financial demand

            your data for publication. Data management and sharing costs are usually considered eligib
            grant applications.



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            * I am worried that somebody might misinterpret my data

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            To minimise the risk of misinterpretation, make sure that your data are accurately describ
            documentation should clearly explain what different variables represent, when, on what pop

            the data were created, and should provide other information that helps users interpret you



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            * I would like to use my data myself before sharing them publicly.
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            Research data are typically shared along with the publication they are related to. If you 
            further research on the same data or if it is an extensive dataset, consider preregisterin
            www.cos.io/initiatives/prereg"] your research project or publishing the data with a time e

            data become public after a predefined time period). Keep in mind that you have been workin
            for some time and undoubtedly understand them better than anyone else who might want to us
            not least, if you publish your data independently, they can also be cited.



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            * If I share my data, I will lose the opportunity for commercial use.
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            The principle “as open as possible, as closed as necessary” applies to data sharing. If yo

            patent your research or commercially exploit the data, you can delay sharing, keep the dat
            employ multiple licensing. For instance, you could provide your data freely for research p
            commercial use at a fee.