“IA Scholar is a simple, access-oriented interface to content identified across several Internet Archive collections, including web archives, archive.org files, and digitized print materials. The full text of articles is searchable for users that are hunting for particular phrases or keywords. This complements our existing full-text search index of millions of digitized books and other documents on archive.org.
The service builds on Fatcat, an open catalog we have developed to identify at-risk and web-published open scholarly outputs that can benefit from long-term preservation, additional metadata, and perpetual access. Fatcat includes resources that may be useful to librarians and archivists, such as bulk metadata dumps, a read/write API, command-line tool, and file-level archival metadata. If you are interested in collaborating with us, or are a researcher interested in text analysis applications, we have a public chat channel or can be contacted by email at firstname.lastname@example.org.
IA Scholar marks a milestone in our work initiated in 2018 to leverage the automation and scale of web and API harvesting in providing open infrastructure for the preservation of and perpetual access to scholarly materials from the public web. We particularly want to thank the Mellon Foundation for their original and ongoing support of this work, our many current partners, and the other collaborators, contributors, and volunteers.
All of this is possible because of the incredible open research ecosystem built and collectively maintained by Open Access advocates. Thank you to the DOAJ and other groups for helping catalog open access journals which has aided preservation. Thank you to the Biodiversity Heritage Library and its supporters for digitizing print journal literature. And thank you to the many other organizations we have worked with, integrated, or whose services we have utilized, including open web indices (Unpaywall, CORE, CiteseerX, Microsoft Academic, Semantic Scholar), directories of open journals (DOAJ, ROAD SHERPA/ROMEO, JURN, Wikidata), and open bibliographic catalogs (Crossref, Datacite, J-STAGE, Pubmed, dblp).
IA Scholar is built from open source software components, and is itself released as Free Software. The website has been translated into eight languages (so far!) by generous volunteers….”