Repositories and Data Journals ****************************************************************************************** * ****************************************************************************************** Like with scientific publications, there are multiple ways how to publish your data:  1.Supplementary Materials to your research article  2.Repository  3.Data journal  ****************************************************************************************** * Supplementary Materials to a research article ****************************************************************************************** Some publishers offer the option of attaching Supplementary Materials to an article. In th can add, for example, raw data or code to their article, and the publisher then publishes online and adds a link to the materials to your published article. If you decide for this mind that unless the publication is Open Access, the copyrights are usually transferred to Moreover, this option would not allow readers to reuse the data, or cite it independently publication.  ****************************************************************************************** * Data repositories ****************************************************************************************** The best way to preserve your data - whether you decide to share them or not - is to depos repository.  To increase the impact of your data, you should deposit your data in a subject specific re advantages of subject specific repositories are that they bring together researchers from scientific discipline who share their data with one another, and they are also usually bet to meet the needs of the community, for example, when it comes to the type of data the res An example of a subject specific repository is LINDAT/CLARIAH-CZ [ URL "https://lindat.mff repository/xmlui/"]  for linguistic data and tools, which is developed at the Institute of Applied Linguistics at MFF UK. When choosing a suitable subject specific repository, it is a good idea to use a repositor already established for your research domain - you can ask your colleagues where they depo or use the international registry of data repositories re3data.org [ URL "https://www.re3d  (Registry of Research Data Repositories).  If you cannot find a suitable subject specific repository, you can deposit your data in a purpose repository, which store data of all scientific disciplines. The most commonly used purpose repositories are Zenodo [ URL "https://zenodo.org/"] , Figshare [ URL "https://fig or Dryad [ URL "https://datadryad.org/stash/"] . The Generalist Repository Comparison Char doi.org/10.5281/zenodo.3946720"]  can help you select a general repository.  When choosing a suitable repository, check the following as well:  • Does the repository give your submitted dataset a persistent and unique identifier (e.g. to a persistent identifier, your data are more easily findable and citable.  • Is the repository certified as a ‘trusted data repository’? If the repository is certifi likely that your data will be well looked after.  • Does the repository enable open access to your data? If you decide to share your data, t information.  • Does the repository license your data? Does it offer clear terms and conditions for data important that others know what they can and cannot do with your data.  • Does the repository provide a landing page for your dataset with metadata? Metadata will find your data, tell what they are and how to cite them.  • Does the repository enable versioning? If you update your dataset, you can upload it as the original dataset. The new dataset is given its own identifier and users can easily f the latest version or which version was used in a particular study.  You can easily check some of these information at re3data.org [ URL "http://re3data.org/"] in the upper right corner, includes a series of pictograms  which tell you, for example, w repository uses persistent identifiers, whether it is open or certified. You can find more the detailed entry or on the website of the repository.  ****************************************************************************************** * Data journals ****************************************************************************************** Data journals mirror the scientific publication model and promote the publication of data can be defined as “a scholarly publication of a searchable metadata document describing a online accessible dataset, or a group of datasets, published in accordance to the standard practices” (definition by Chavan & Penev, 2011 [ URL "https://doi.org/10.1186/1471-2105-12 journals are dedicated to publishing data papers only (mind that different publishers may of publication differently, e.g., database article, or data descriptor), others are mixed papers alongside traditional research articles. Data paper is therefore analogous to tradi papers, can be cited and can be reported in OBD (the system used at Charles University for creative activities).  Different data journals may have different policies but the general aim is for the data pa the dataset, provide information on what the data are, how and where they were created and paper should also contain a link back to the dataset (ideally via a persistent identifier Data papers should not include scientific analyses made by using the data. Generally, the not host the data; instead, the dataset should be deposited in a trusted open access repos even if the paper might have restricted access, the dataset would still be available.  Most data journals also perform peer review, however, there may be differences in terms of reviewers are requested to assess and whether the peer review process is open or not.   Listed below are some examples of data journals and you can find further examples here [ U www.wiki.ed.ac.uk/display/datashare/Sources+of+dataset+peer+review"] .  • Scientific data [ URL "https://www.nature.com/sdata/"]  - mainly natural science discipl • Earth System Science Data [ URL "https://www.earth-system-science-data.net/"]  - geoscie • Journal of Open Archaeology Data [ URL "https://openarchaeologydata.metajnl.com/"]  - ar • Biodiversity Data Journal [ URL "https://bdj.pensoft.net/"]  - biodiversity  • GigaScience [ URL "https://academic.oup.com/gigascience"]  - life and biomedical science • Journal of Open Research Software [ URL "https://openresearchsoftware.metajnl.com/about/ software  ****************************************************************************************** * Useful Resources ****************************************************************************************** Chavan, V., Penev, L. 2011. The data paper: a mechanism to incentivize data publishing in science. BMC Bioinformatics 12, S2. https://doi.org/10.1186/1471-2105-12-S15-S2 [ URL "htt doi.org/10.1186/1471-2105-12-S15-S2"]    Gould, Julie. 2014. How to publish your data in a data journal. Naturejobs Blog.  http://b naturejobs/2014/12/04/how-to-publish-your-data-in-a-data-journal/ [ URL "http://blogs.natu naturejobs/2014/12/04/how-to-publish-your-data-in-a-data-journal/"]    Stall, Shelley, Maryann E. Martone, et al. 2020. Generalist Repository Comparison Chart [ doi.org/10.5281/zenodo.3946720"] . Zenodo. http://doi.org/10.5281/zenodo.3946720 [ URL "ht doi.org/10.5281/zenodo.3946720"]