Charles University Research Data Policy ****************************************************************************************** * Research Data Policy in practice ****************************************************************************************** Charles University has adopted an institutional Research Data Policy [ URL "https://cuni.c UKEN-1958.html"] , the purpose of which is to promote good practice in research data manag specifying the basic principles of research data management, and by delineating the respon University and its researchers.  Section 5 of the Data Policy describes the basic principles of research data management in collection, storage, and sharing. This page offers a basic guide on how to implement these points to the support and infrastructure available at the university. *========================================================================================= * 5.1 Data collection and storage *========================================================================================= • Research data are to be stored in a secure location to prevent unauthorised access or data loss, following the methodological guidance on data security [ URL "https:// hdl.handle.net/20.500.14178/1876"] .  • In addition to services provided by your faculty, you can use storage provided by CESN "https://docs.du.cesnet.cz/en/docs/introduction/introduction"] or cloud services like for storing data during research. More information about suitable storage options can Categorization of storage [ URL "https://openscience.cuni.cz/OSCIEN-74.html"] page.    • Where possible, research data should be accompanied by rich metadata using standardised should be stored in standard formats in order to increase their interoperability.  • Metadata provide selected characteristics of research data, such as keywords, software measurement parameters, etc.  • The topic of metadata and documentation is covered on the page Describing data [ URL " openscience.cuni.cz/OSCIEN-72.html"] .  • If there is an exchange of personal data with a third party where the University is the an agreement must be drawn up to ensure the data are protected. • For support in preparing an agreement, you may contact the legal support team at the O Support Centre at openlaw@cuni.cz [ URL "mailto:openlaw@cuni.cz"] • When conducting research involving external partners, researchers are advised to draw up that specifies rights and responsibilities of the involved parties, regarding, for examp property rights and licensing, or responsibilities in relation to research data manageme • For support in preparing an agreement, you may contact the legal support team at the O Support Centre at openlaw@cuni.cz [ URL "mailto:openlaw@cuni.cz"] • Researchers are advised to prepare a data management plan for their research projects to data are complete, accurate, reliable, and secure. Data management plans should be updat reflect what actually happened with the data. • To create a data management plan (DMP), you can use the FAIR Wizard [ URL "https://fai wizard.cuni.cz/"] tool offered by the university. Information on what a DMP typically and how to create one can be found on the Data management plan [ URL "https://openscie OSCIEN-49.html"] page.  *========================================================================================= * 5.2 Data preservation *========================================================================================= • Research data that serve as a basis for a publication are to be retained for a period of years since the day the research results are published, so that the results may be verif necessary to delete some data earlier, for example due to contractual obligations, this to be provided in the documentation. Researchers are encouraged to retain their research long as feasible. • The most suitable way to preserve (and share) data is through data repositories. Some allow data to be stored only if you intend to share them, while others offer the optio without making them publicly accessible, such as the Zenodo [ URL "https://zenodo.org/ More information about repositories can be found on the How to share research data [ U openscience.cuni.cz/OSCIEN-53.html"] page.  • Research data that are being preserved are to be accompanied with sufficient documentati they can be easily interpreted. • The topic of metadata and documentation is covered on the page Describing data [ URL " openscience.cuni.cz/OSCIEN-72.html"] .  *========================================================================================= * 5.3 Data sharing *========================================================================================= Research data should be made available for access and reuse as widely as feasible, in acco principle “as open as possible, as closed as necessary”. When researchers share their data adhere to the following principles. • Research data are to be shared along with rich metadata to provide sufficient informatio provenance and to increase their findability and reusability. • Metadata provide selected characteristics of research data, such as keywords, software measurement parameters, etc. • The topic of metadata and documentation is covered on the page Describing data [ URL " openscience.cuni.cz/OSCIEN-72.html"] . • Metadata sdílených dat obsahují odkazy na další související výstupy a entity prostřednic perzistentních identifikátorů. • Pokud to vámi vybraný repozitář umožňuje, uvádějte perzistentní identifikátory přímo v polích záznamu. Odkazovat můžete například na související publikaci, zdrojový kód, sof Img.1: An example of metadata field for related outputs in the repository Zenodo. • Research data should be assigned a persistent identifier. • Assigning a persistent identifier requires a service which is authorised to assign the data, some repositories may provide this service. When choosing an appropriate data re sure that it assigns a persistent identifier to your data. • Research data should be shared via a trusted repository or a suitable platform that is e within the research field. • The best way to preserve and share your data is to deposit them in a subject specific Subject specific repositories are generally better suited to the needs of the research also ensure that your data reach researchers in your field. You can find a suitable su repository, for example, in the registry of research data repositories at re3data.org www.re3data.org/"] .  • If you cannot find a suitable subject specific repository, you can deposit your data i purpose repository such as Zenodo [ URL "https://zenodo.org/"] , Figshare [ URL "https figshare.com/"] , or Dryad [ URL "https://datadryad.org/"] . More information on ways can be found in the dedicated section How to share research data [ URL "https://opensc OSCIEN-53.html"] . • In compliance with intellectual property rights, research data should be assigned an app license in order to clearly specify the conditions for reuse, unless funder requirements or contractual obligations provide otherwise. It is recommended to use open licenses suc Commons Attribution (CC BY).  • You can assign a license to your data, for example, by selecting an appropriate licens the metadata fields of the repository (if the repository offers this option), or by at a “License” file to the dataset package that contains the terms of use. For data shari recommend using public licenses, which are described in the section Public licenses [ openscience.cuni.cz/OSCIEN-162.html"] .  • If you are not sure how to license your data or which license to use, you can contact support team at the Open Science Support Centre at openlaw@cuni.cz [ URL "mailto:openl • Where appropriate, published research should include a data availability statement which the underlying data may be accessed. • Information about data availability may be included, for example, in the list of refer separate section of the published article. Data availability statements can take one o forms (or a combination of more than one if required for multiple types of research da • The datasets generated and/or analysed during the current study are available in the repository, [PERSISTENT WEB LINK TO DATASETS]  • The datasets generated and/or analysed during the current study are not publicly ava to [REASON WHY DATA ARE NOT PUBLIC] but are available from the corresponding author request.  • Data sharing is not applicable to this article as no datasets were generated or anal current study.  • All data generated or analysed during this study are included in this published arti supplementary information files].  • The data that support the findings of this study are available from [third party nam restrictions apply to the availability of these data, which were used under license study, and so are not publicly available. Data are, however, available from the auth reasonable request and with permission of [third party name].