Dataset Open Access

DOIBoost Dataset Dump

La Bruzzo, Sandro; Manghi, Paolo; Mannocci, Andrea


MARC21 XML Export

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    <subfield code="a">When citing this dataset please cite this record in Zenodo and the relative article: La Bruzzo S., Manghi P., Mannocci A. (2019) OpenAIRE's DOIBoost - Boosting CrossRef for Research. In: Manghi P., Candela L., Silvello G. (eds) Digital Libraries: Supporting Open Science. IRCDL 2019. Communications in Computer and Information Science, vol 988. Springer, doi:10.1007/978-3-030-11226-4_11</subfield>
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    <subfield code="u">Institute of Information Science and Technology - CNR</subfield>
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    <subfield code="a">DOIBoost Dataset Dump</subfield>
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    <subfield code="a">&lt;p&gt;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.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The latest DOIBoost release is&amp;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 &amp;quot;boosted&amp;quot; as follows:&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;47,254,618 CrossRef records have been enriched with an abstract from MAG;&lt;/li&gt;
	&lt;li&gt;33,279,428 CrossRef records have been enriched with an affiliation&amp;nbsp;from MAG and/or ORCID;&lt;/li&gt;
	&lt;li&gt;509,588 CrossRef records have been enriched with an ORCID identifier from ORCID.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;This entry consists of two files: &lt;strong&gt;doiboost_dump-2019-11-27.tar&amp;nbsp;&lt;/strong&gt;(contains a set of &lt;strong&gt;partXYZ.gz&lt;/strong&gt; files, each one containing the JSON files relative to the enriched CrossRef records), a&amp;nbsp;&lt;strong&gt;schemaAndSample.zip&lt;/strong&gt;, and &lt;strong&gt;termsOfUse.doc&amp;nbsp;&lt;/strong&gt;(contains details on the terms of use of DOIBoost).&lt;/p&gt;

&lt;p&gt;Note that this records comes with two relationships to other results of this experiment:&amp;nbsp;&lt;/p&gt;

&lt;ol&gt;
	&lt;li&gt;link to the data paper: for more information on how the dataset is (and can be) generated;&lt;/li&gt;
	&lt;li&gt;link to the software: to repeat the experiment&lt;/li&gt;
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