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                        <h4 class="center-align"><b>About</b></h4>
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                            <h4 class="center-align"><b>About</b></h4>
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                                Scholexplorer populates and provides access to a graph of links between dataset
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                                and literature objects and dataset
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                                and dataset objects. Links (and objects) are provided by data sources managed by
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                                publishers (e.g. Elsevier, Thomson Reuters), data centers (e.g. PANGAEA, CCDC), or other
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                                organizations providing services to store and manage links between data sets and
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                                publications (e.g. CrossRef, DataCite, OpenAIRE). Scholexplorer aggregates link metadata
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                                harvested from
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                                the
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                                data sources and out of these builds and harmonised and de-duplicated graph of scholarly
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                                objects. The graph is openly accessible (CC-0) via <a
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                                    href="api.scholexplorer.openaire.eu/v1/ui">search REST APIs </a>
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                                that return links in <a href="www.scholix.org"> Scholix format</a>.
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                            Although research data publishing is today widely regarded as crucial for reproducibility
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                            and proper
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                            assessment of scientific results, several challenges still need to be solved to fully
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                            realize its potential.
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                            Developing links between the published literature and datasets is one of them. Current
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                            solutions are mostly based on bilateral,
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                            ad-hoc agreements between publishers and data centers, operating in silos whose content
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                            cannot be readily combined to deliver
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                            a network connecting research data and literature. The RDA Data Publishing Services Working
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                            Group (DPS-WG) [<b>1</b>]
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                            aims to address this issue by bringing together different stakeholders to agree on common
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                            standards, combine links from disparate sources,
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                            and create a universal, open service for collecting and sharing such links: the
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                            Data-Literature Interlinking Service.
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                            <br>
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                            <p>The realization and operation of this Service is the result of a synergic effort of the
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                                DPS-WG and the OpenAIRE infrastructure. The Service populates and provides access to a
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                                graph of dataset-literature links collected from a variety of major data centers,
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                                publishers, and research organizations. It offers facilities for the following classes
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                                of actors</p>
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                                <li style="text-indent: 10px;"><b>- End-users</b>: searching and browsing the graph of
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                                    links via the <a href="/index.html">DLI Service portal</a></li>
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                                <li style="text-indent: 10px;"><b>- Third-party service developers</b>: accessing
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                                    publications and datasets in the graph via programmatic APIs (link to API page)
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                                <li style="text-indent: 10px;"><b>- Content providers</b>:willing to feed high-quality
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                                    authoritative links between publications and datasets or between datasets to the
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                                    Service (link to API page).
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                                    <b>Note</b>: formal data acquisition policies, SLAs, and data provider registration
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                                    procedures will be produced at a later stage; currently each “application” is
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                                    processed independently with bilateral agreements.
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                                </li>
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                            Based on feedback from content providers and consumers, DPS-WG will continue to refine the
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                            Service data model and exchange format to make it a universal, cross-platform,
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                            cross-discipline solution for collecting and sharing dataset-literature links.
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                            <b class="title_about">References</b>
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                                <li>[1] RDA Data Publishing Services Working Group <a
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                                        href="https://rd-alliance.org/groups/rdawds-publishing-data-services-wg.html">Case
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                                    Statement</a></li>
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                                <li>[2] 3TU.Datacentrum</li>
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                                <li>[3] Australian National Data Service (ANDS)</li>
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                                <li>[4] Cambridge Crystallographic Data Centre (CCDC)</li>
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                                <li>[5] CrossRef</li>
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                                <li>[6] DataCite</li>
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                                <li>[7] Elsevier</li>
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                                <li>[8] EMBL European Bioinformatics Institute (EMBL-EBI)</li>
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                                <li>[9] Interuniversity Consortium for Political and Social Research (ICPSR)</li>
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                                <li>[10] Institute of Electrical and Electronics Engineers (IEEE)</li>
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                                <li>[11] International Association of STM Publishers</li>
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                                <li>[12] National Data Service (NDS)</li>
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                                <li>[13] OpenAIRE</li>
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                                <li>[14] ORCID</li>
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                                <li>[15] Protein Data Bank (PDB)</li>
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                                <li>[16] PANGAEA</li>
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                                <li>[17] RMap</li>
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                                <li>[18] Royal Society of Chemistry (RSc)</li>
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                                <li>[19] Springer</li>
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                            <h4 class="center-align"><b>References (@ OpenAIRE)</b></h4>
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                                    <li>
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                                        <a href="https://www.openaire.eu/search/publication?articleId=dedup_wf_001::309cd9083a888d86db07849b9011ad51">On
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                                            Bridging Data Centers and Publishers: The Data-Literature Interlinking
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                                            Service</a> Burton, Adrian; Koers, Hylke; Manghi, Paolo; La Bruzzo, Sandro; Aryani, Amir; Diepenbroek, Michael; SCHINDLER Uwe	(2015)</li>
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                                    <li><a href="https://www.openaire.eu/search/publication?articleId=od______2659::a84cec8e6970d6608256103f1146da3f">
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                                        Persistent Identifiers: a Prerequisite to Establish the Framework for Scholarly Link Exchange—Scholix</a>
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                                         Mustapha Mokrane; Adrian Burton; Hylke Koers; Markus Stocker (2016)</li>
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                                    <li>
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                                        <a href="https://www.openaire.eu/search/publication?articleId=od______2367::72a2ecc3e2d7d17b3c49f47f7d0b3294">The
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                                            data-literature interlinking service: towards a common infrastructure for
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                                            sharing data-article links</a> Burton, Adrian; Koers, Hylke; Manghi, Paolo; La Bruzzo, Sandro; Aryani, Amir; Diepenbroek, Michael; SCHINDLER Uwe	(2017)
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                                    <li> <a href="http://mirror.dlib.org/dlib/january17/burton/01burton.html">The Scholix Framework for Interoperability in Data-Literature Information Exchange</a>
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                                    Adrian Burton, Hylke Koers, Paolo Manghi, Martin Fenner, Sandro La Bruzzo, Amir Aryani, Michael Diepenbroek, Uwe Schindler, Markus Stocker (2017)
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