Files | Discussion Wiki | Discussion | Discussion

default Loading...



Loading wiki pages...

Wiki Version:
<p>This collaboration is set to proposes a set of criteria that journals and publishers believe are important for the identification and selection of data repositories, which can be recommended to researchers when they are preparing to publish the data underlying their findings. </p> <p>See our Oct 2020 <strong>preprint</strong> at <a href="" rel="nofollow"></a> </p> <p>This work intends to </p> <ul> <li>reduce complexity for researchers when preparing their submissions to journals,</li> <li>increase efficiency for data repositories that currently have to work with all individual publishers, and</li> <li>simplify the process of recommending data repositories for publishers. </li> </ul> <p>This makes implementation of research data policies more efficient and consistent, which may help to improve approaches to data sharing by promoting the use of reliable data repositories. </p> <p>This initiative stems from a discussion between the Force11 Data Citation Implementation Pilot (DCIP) group, and the joint Force11 and Research Data Alliance (RDA) FAIRsharing WG on the need to develop a shared list of recommended data deposition repositories. These activities have matured as part of a collaboration between <a href="http:///" rel="nofollow">FAIRsharing</a>, DataCite and a group of publisher representatives (PLOS, Springer Nature, F1000, Wiley, Taylor and Francis, Elsevier, EMBO Press, Hindawi, eLife, GigaScience, Hindawi, Oxford University Press, Cambridge University Press) who are actively implementing data policies and recommending data repositories to researchers. </p>
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.