DOIBoost Dataset Dump

<p>Research in information science and scholarly communication strongly relies on the availability of openly accessible datasets of metadata and, where possible, their relative payloads. To this end, CrossRef plays a pivotal role by providing free access to its entire metadata collection, and allowing other initiatives to link and enrich its information. Therefore, a number of key pieces of information result scattered across diverse datasets and resources freely available online. As a result of this fragmentation, researchers in this domain end up struggling with daily integration problems producing a plethora of ad-hoc datasets, therefore incurring in a waste of time, resources, and infringing open science best practices.&nbsp;</p> <p>The latest DOIBoost release is&nbsp;a metadata collection that enriches CrossRef (October 2019 release: 108,048,986 publication records) with inputs from Microsoft Academic Graph (October 2019 release: 76,171,072 publication records), ORCID (October 2019 release: 12,642,131 publication records), and Unpaywall (August 2019 release: 26,589,869 publication records) for the purpose of supporting high-quality and robust research experiments. As a result of DOIBoost, CrossRef records have been &quot;boosted&quot; as follows:</p> <ul> <li>47,254,618 CrossRef records have been enriched with an abstract from MAG;</li> <li>33,279,428 CrossRef records have been enriched with an affiliation&nbsp;from MAG and/or ORCID;</li> <li>509,588 CrossRef records have been enriched with an ORCID identifier from ORCID.</li> </ul> <p>This entry consists of two files: <strong>doiboost_dump-2019-11-27.tar&nbsp;</strong>(contains a set of <strong>partXYZ.gz</strong> files, each one containing the JSON files relative to the enriched CrossRef records), a&nbsp;<strong>schemaAndSample.zip</strong>, and <strong>termsOfUse.doc&nbsp;</strong>(contains details on the terms of use of DOIBoost).</p> <p>Note that this records comes with two relationships to other results of this experiment:&nbsp;</p> <ol> <li>link to the data paper: for more information on how the dataset is (and can be) generated;</li> <li>link to the software: to repeat the experiment</li> </ol>