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Eigenfactor Foundation

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Eigenfactor Foundation
NameEigenfactor Foundation
Formation2007
TypeNonprofit research and analytics organization
HeadquartersSeattle, Washington
Region servedInternational
Leader titleDirector

Eigenfactor Foundation The Eigenfactor Foundation is a nonprofit organization that develops bibliometric indicators and open tools for assessing scholarly influence across journals, institutions, and publications. Founded by researchers associated with University of Washington and influenced by work at Harvard University and Stanford University, the Foundation publishes open-source code, datasets, and web services used by librarians, researchers, and policymakers. Its outputs include citation-based metrics and visualizations intended to complement traditional measures used by indexing services such as Clarivate and Elsevier.

History

The Foundation originated from research projects at the University of Washington and collaborations with scholars at Duke University, Harvard University, and Google Scholar-related initiatives. Early developments were shaped by influences from algorithmic ranking methods like PageRank and studies published in journals such as PNAS and Nature. Incorporation as a nonprofit in 2007 followed grant support from institutions including the Alfred P. Sloan Foundation and interactions with projects at Center for Open Science and CrossRef. Over time the Foundation expanded data partnerships with aggregators like PubMed and Scopus while maintaining ties to academic groups at University of California, Berkeley and Massachusetts Institute of Technology.

Mission and Objectives

The Foundation states objectives aligned with open scholarship advocated by stakeholders such as SPARC (Scholarly Publishing and Academic Resources Coalition), Creative Commons, and OpenAIRE. Its mission emphasizes transparency in indicators used by organizations including Institute for Scientific Information and funders like the National Science Foundation. The Foundation aims to provide alternatives to proprietary metrics from Clarivate Analytics and Elsevier and to support bibliometric practices promoted by societies such as the Association of College and Research Libraries and International Council for Science.

Products and Metrics

Key outputs include the Eigenfactor Score, Article Influence Score, and related ranking tables that complement indexes produced by Web of Science and Scopus. The Foundation distributes datasets compatible with repositories like Zenodo and interfaces that interoperate with services such as ORCID and CrossRef REST API. Tools are employed by libraries at institutions including University of Cambridge, Oxford University, Princeton University, and Yale University to inform collection development, tenure review, and grant assessment alongside platforms like JSTOR and Project MUSE.

Methodology

Metrics are derived from citation networks using algorithms inspired by PageRank and network science research from groups at Santa Fe Institute and MIT Media Lab. Data sources include citation indices from PubMed Central, metadata from CrossRef, and bibliographic records linked to WorldCat. The Foundation emphasizes normalization strategies comparable to approaches in studies by Eugene Garfield and methods discussed at conferences such as International Conference on Scientometrics and Informetrics and ASSA Annual Meeting. Documentation and code are released under licenses advocated by Free Software Foundation and Creative Commons.

Governance and Funding

Governance involves a board with academics and librarians affiliated with institutions such as University of Washington, Duke University, Columbia University, and University of Toronto. Funding has included grants from philanthropic organizations like the Alfred P. Sloan Foundation, the Andrew W. Mellon Foundation, and contracts with consortia including CRKN and HathiTrust. The Foundation has accepted project-based support from entities comparable to National Institutes of Health and maintained partnerships with service providers such as CrossRef and OCLC while publishing annual financial summaries consistent with nonprofit practices in the United States.

Impact and Reception

Eigenfactor metrics have been cited in bibliometric research published in outlets such as Scientometrics, Journal of Informetrics, and Research Policy. Libraries and research offices at University of Michigan, Cornell University, and University of California, Los Angeles have referenced Foundation tools for collection analysis and evaluation, while critics in debates appearing in Nature and The Lancet have questioned reliance on journal-level indicators for individual assessment. Policy discussions at agencies including the European Commission and panels convened by the National Academies of Sciences, Engineering, and Medicine have considered Eigenfactor measures among alternatives to proprietary citation indicators.

Partnerships and Collaborations

The Foundation has collaborated with data providers and scholarly infrastructure organizations such as CrossRef, PubMed Central, DOAJ, and ORCID to improve metadata quality and open access analytics. Collaborative research projects have involved partners at Harvard Library Innovation Lab, Stanford Libraries, University of British Columbia, and international consortia including DataCite and OpenAIRE. These partnerships supported integrations with platforms like Figshare, Zenodo, and discovery services used by consortia such as CARL and networks like European University Association.

Category:Non-profit organizations based in the United States Category:Bibliometrics