Ad Fontes Science is building a rating system for scientific journals to evaluate reliability and relevance for libraries, publishers, and artificial intelligence developers, Research Information reported.
Scientific Information Reliability Chart Adapts Media Bias Framework
The Scientific Information Reliability Chart (SIRC) mirrors the visual layout of the Media Bias Chart created by Ad Fontes Media. It plots publications across two distinct axes, separating the dependability of their scientific claims from how clearly they interpret findings for their intended audiences.
Managing directors Kent Anderson and Joy Moore lead the new initiative. Anderson previously worked with the New England Journal of Medicine, Science, JBJS, and Pediatrics. Moore held roles at Nature Publishing Group, Blackwell, and Silverchair. Vanessa Otero, founder and chief executive of Ad Fontes Media, also serves on the team.
Evaluates Journal Reliability Using Specific Criteria
The proposed framework evaluates journal reliability across seven separate criteria. These include study design, overall study quality, financial and ethical disclosures, and the clarity of scientific claims presented in articles.
Relevance assessment relies on five distinct dimensions. The criteria cover author expertise, original contributions, promotional focus, community accountability, and the moderation of claims through peer scrutiny.
Professional analysts evaluate dozens of papers using consistent criteria to determine journal positions. The organization combines individual article assessments to generate overall publication ratings.
Target Applications Span Libraries and AI Licensing
Ad Fontes Science aims its ratings at library collections management, offering tools to assess journal quality and variations across publishing portfolios. Publishers can also use the data to shape editorial strategies, while researchers may consult the metrics when choosing submission venues.
Additional applications include helping content aggregators and artificial intelligence developers evaluate material for licensing and training datasets. Journalists and practitioners can also use the charts to vet scientific sources.
The organization developed the system in response to unreliable publications, widespread retractions, and limitations in existing research metrics. Generative artificial intelligence has added to the difficulty of reviewing scientific information.
Prototype Launch Scheduled for Charleston Conference
The initiative debuts on November 4 during the 2026 Charleston Premiers sessions at the Charleston Conference. The project website currently displays an anonymized prototype chart dated May 2026, while an interactive version remains in development alongside active recruitment for scientific analysts.
Frequently Asked Questions About the Scientific Information Reliability Chart
How many criteria does the system use to measure journal quality?
The system evaluates reliability across seven dimensions, such as study design and disclosures, while assessing relevance through five dimensions, including author expertise and peer scrutiny.
Who is leading the Ad Fontes Science initiative?
Kent Anderson and Joy Moore serve as managing directors for the project, joined by Ad Fontes Media founder and chief executive Vanessa Otero.
When and where will the system officially launch?
The initiative is scheduled to launch on November 4 during the 2026 Charleston Premiers sessions at the Charleston Conference.
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