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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mwixoxlfy5gvpeuyrvsdqjyvym" style="color: black;">Data Intelligence</a>
Citizen Science (CS) is a prominent field of application for Open Science (OS), and the two have strong synergies, such as: advocating for the data and metadata generated through science to be made publicly available [ 1 ]; supporting more equitable collaboration between different types of scientists and citizens; and facilitating knowledge transfer to a wider range of audiences [ 2 ]. While primarily targeted at CS, the EU-Citizen. Science platform can also support OS. One of its key functions<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/dint_a_00085">doi:10.1162/dint_a_00085</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sa7xwzk3avcnnihsksbyjzw7ka">fatcat:sa7xwzk3avcnnihsksbyjzw7ka</a> </span>
more »... is to act as a knowledge hub to aggregate, disseminate and promote experience and know-how; for example, by profiling CS projects and collecting tools, resources and training materials relevant to both fields. To do this, the platform has developed an information architecture that incorporates the public participation in scientific research (PPSR)—Common Conceptual Model ① . This model consists of the Project Metadata Model, the Dataset Metadata Model and the Observation Data Model, which were specifically developed for CS initiatives. By implementing these, the platform will strengthen the interoperating arrangements that exist between other, similar platforms (e.g., BioCollect and SciStarter) to ensure that CS and OS continue to grow globally in terms of participants, impact and fields of application.
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