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Dataset Open Access

DOIBoost Dataset Dump

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


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1438356", 
  "language": "eng", 
  "title": "DOIBoost Dataset Dump", 
  "issued": {
    "date-parts": [
      [
        2018, 
        9, 
        28
      ]
    ]
  }, 
  "abstract": "<p>&nbsp;</p>\n\n<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;DOIBoost is&nbsp;a metadata collection that enriches CrossRef with inputs from Microsoft Academic Graph, ORCID, and Unpaywall for the purpose of supporting high-quality and robust research experiments, saving times to researchers and enabling their comparison.</p>\n\n<p>This entry consists of two files: <strong>doiBoost.tar.gz</strong> (which contains a set of part.gz files, each one containing the JSON files realtive to the enriched CrossRef records) and <strong>termsOfUse.doc&nbsp;</strong>(which contains details on the terms of use of DOIBoost).</p>\n\n<p>Note that this records comes with two relationships to other results of this experiment:&nbsp;</p>\n\n<ol>\n\t<li>link to the data paper: for more information on how the dataset is (and can be) generated;</li>\n\t<li>link to the software: to repeat the experiment&nbsp; .</li>\n</ol>\n\n<p>&nbsp;</p>", 
  "author": [
    {
      "family": "La Bruzzo, Sandro"
    }, 
    {
      "family": "Manghi, Paolo"
    }, 
    {
      "family": "Mannocci, Andrea"
    }
  ], 
  "version": "2.0", 
  "type": "dataset", 
  "id": "1438356"
}
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