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<h4 class="center-align"><b>About</b></h4>
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<div class="col l12" style="margin-bottom: 20px">
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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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</div>
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<div class="col l12 center-align"><img src="images/data_model.png" style="height: 300px"
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class="center-align"></div>
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<div class="col l12" style="margin-bottom: 40px">
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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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<ul type="square">
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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>
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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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</ul>
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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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</div>
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</div>
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<b class="title_about">References</b>
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<ul>
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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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</ul>
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