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<h2>Curated COVID-19 Sources</h2>

Works are tagged with the source of their inclusion in this COVID-19 corpus:

<ul>
  <li><a href="https://pages.semanticscholar.org/coronavirus-research">Allen Institute for AI CORD-19 corpus</a>
  <li><a href="https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov">WHO Database of publications on coronavirus disease (COVID-19)</a>
  <li><a href="http://subject.med.wanfangdata.com.cn/Channel/7">Wanfang corpus of Chinese COVID-19 papers</a>
  <li><a href="http://en.gzbd.cnki.net/GZBT/brief/Default.aspx">CNKI corpus of Chinese COVID-19 papers</a>
  <li><a href="https://fatcat.wiki">Fatcat</a> (based on keyword queries against the full catalog)
</ul>

To clarify use of the CORD-19 corpus in particular, the corpus is used only to
identify papers for inclusion in this index (eg, by DOI or PMCID).
Bibliographic metadata and content is then fetched from the exiting Fatcat
catalog of open metadata, and full-text content is indexed from copies found on
the public web, repositories, and publisher websites.

<h2>Disclaimers</h2>

<p>
The fatcat catalog is intended to be a "universal" preservation and access
archive, not a narrow currated collection of only the highest quality research
content. This means that not all content has undergone peer-review, and some
may have been uploaded to services like academic social networks (eg,
researchgate) or institutional repositories with absolutely no human editorial
review or filtering.

<p>
The catalog intends to capture metadata such as publication stage (draft,
published, retracted), venue, and medium (journal article, web post,
encyclopedia entry, frontmatter) to help filter through this content. But in
some cases this metadata is incomplete or may be inaccurate. For example,
pre-print PDF files may be incorrectly associated with the final published
version of a work, or vica versa.


<h2>Sources of Metadata</h2>

The source of all bibliographic information is recorded in edit history
metadata, which allows the provenance of all records to be reconstructed. A few
major sources are worth highlighting here:

<ul>
 <li>Release metadata from <b>Crossref</b>, via their public
 <a href="https://github.com/CrossRef/rest-api-doc">REST API</a>
 <li>Release metadata and linked full-text content from NIH <b>Pubmed</b> and <b><a href="https://arxiv.org">arXiv.org</a></b>
 <li>Release metadata and linked public domain full-text content the <b>JSTOR</b> Early Journal Content collection
 <li>Creator names and de-duplication from <b>ORCID</b>, via their annual public data releases
 <li>Journal title metadata from <b>DOAJ</b>, <b>ISSN ROAD</b>, and <b>SHERPA/RoMEO</b>
 <li>Full-text URL lists from <b><a href="https://core.ac.uk">CORE</a></b>,
 <b><a href="http://unpaywall.org">Unpaywall</a></b>,
 <b><a href="https://www.semanticscholar.org">Semantic Scholar</a></b>,
 <b><a href="https://citeseerx.ist.psu.edu">CiteseerX</a></b>,
 and <b><a href="https://www.microsoft.com/en-us/research/project/academic">Microsoft Academic Graph</a></b>.
 <li><a href="https://guide.fatcat.wiki/sources.html">The Fatcat Guide</a> lists more major sources
</ul>

Many thanks for the hard work of all these projects, institutions, and individuals!

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