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<h4 class="center-align"><b>About</b></h4>
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Although research data publishing is today widely regarded as crucial for reproducibility and proper
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assessment of scientific results, several challenges still need to be solved to fully realize its potential.
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Developing links between the published literature and datasets is one of them. Current solutions are mostly based on bilateral,
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ad-hoc agreements between publishers and data centers, operating in silos whose content cannot be readily combined to deliver
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a network connecting research data and literature. The RDA Data Publishing Services Working Group (DPS-WG) [<b>1</b>]
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aims to address this issue by bringing together different stakeholders to agree on common standards, combine links from disparate sources,
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and create a universal, open service for collecting and sharing such links: the Data-Literature Interlinking Service.
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<br>
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<div class="col l12 center-align"><img src="images/data_model.png" style="height: 300px" class="center-align"></div>
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<p>The realization and operation of this Service is the result of a synergic effort of the DPS-WG and the OpenAIRE infrastructure. The Service populates and provides access to a graph of dataset-literature links collected from a variety of major data centers, publishers, and research organizations. It offers facilities for the following classes of actors</p>
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<li style="text-indent: 10px;"><b>- End-users</b>: searching and browsing the graph of 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 publications and datasets in the graph via programmatic APIs (link to API page)</li>
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<li style="text-indent: 10px;"><b>- Content providers</b>:willing to feed high-quality authoritative links between publications and datasets or between datasets to the Service (link to API page).
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<b>Note</b>: formal data acquisition policies, SLAs, and data provider registration procedures will be produced at a later stage; currently each “application” is processed independently with bilateral agreements.</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 Service data model and exchange format to make it a universal, cross-platform, cross-discipline solution for collecting and sharing dataset-literature links.
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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 href="https://rd-alliance.org/groups/rdawds-publishing-data-services-wg.html">Case Statement</a> </li>
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<li>[2] 3TU.Datacentrum <a href="#">Case Statement</a> </li>
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<li>[3] Australian National Data Service (ANDS) <a href="#">Case Statement</a> </li>
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<li>[4] Cambridge Crystallographic Data Centre (CCDC) <a href="#">Case Statement</a> </li>
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<li>[5] CrossRef <a href="#">Case Statement</a> </li>
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<li>[6] DataCite <a href="#">Case Statement</a> </li>
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<li>[7] Elsevier <a href="#">Case Statement</a> </li>
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<li>[8] EMBL European Bioinformatics Institute (EMBL-EBI) <a href="#">Case Statement</a> </li>
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<li>[9] Interuniversity Consortium for Political and Social Research (ICPSR) <a href="#">Case Statement</a> </li>
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<li>[10] Institute of Electrical and Electronics Engineers (IEEE) <a href="#">Case Statement</a> </li>
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<li>[11] International Association of STM Publishers <a href="#">Case Statement</a> </li>
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<li>[12] National Data Service (NDS) <a href="#">Case Statement</a> </li>
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<li>[13] OpenAIRE <a href="#">Case Statement</a> </li>
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<li>[14] ORCID <a href="#">Case Statement</a> </li>
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<li>[15] Protein Data Bank (PDB) <a href="#">Case Statement</a> </li>
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<li>[16] PANGAEA <a href="#">Case Statement</a> </li>
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<li>[17] RMap <a href="#">Case Statement</a> </li>
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<li>[18] Royal Society of Chemistry (RSc) <a href="#">Case Statement</a> </li>
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<li>[19] Springer <a href="#">Case Statement</a> </li>
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</ul>
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