YOUR GO-TO INTELLIGENCE RESOURCE FOR THE SCHOLARLY PUBLISHING INDUSTRY

CCC, the leading provider of Open Access (OA) workflow solutions announced new data import capabilities and AI-enabled affiliation matching in its OA Agreement Intelligence modeling and analytics tool that provides publishers with a 360-degree view of disambiguated publication data to build accurate, transparent institutional offers regarding OA.

OA Agreement Intelligence supports the import of publication data from subscriptions and non-RightsLink sources to further enhance the capability to analyze and compare various business scenarios. The solution combines sophisticated, AI-enabled, affiliation-matching technology and analytic capabilities, to reliably disambiguate institution affiliation and funder relationships. This empowers publishers to easily structure and negotiate OA agreements.

CCC is an active partner in the evolution of OA publishing models. For years, CCC has brought together key OA stakeholders from the author, publisher, institution, funding, and vendor communities through roundtables, panel events, webinars, and podcasts. CCC is a member of OASPA (Open Access Scholarly Publishers Association), ALPSP (Association of Learned and Professional Society Publishers), STM (International Association of STM Publishers), and SSP (Society for Scholarly Publishing).

CCC will showcase its new agreement modeling capabilities at the Frankfurt Book Fair. In addition to highlighting OA Agreement Intelligence’s features, CCC will join other conversations about AI during the Frankfurt Book Fair at the following events: AI Solutions: Trained with Your Content at the Frankfurt Studio – Public Events (Foyer, Hall 4.0) on 19 October 1:00 pm – 2:00 pm CEST. The Large Language Models (LLMs) that are fundamental to generative AI solutions, including ChatGPT from OpenAI, rely on machine-readable content available on the web. Whether permission and licensing are necessary for materials taken from books, scholarly journals, or other curated publications protected by copyright. Should AI be trained with your content with or without your consent? Court decisions, regulations, and legislation will ultimately create legal guardrails for protecting copyrighted content from unchecked infringement. In the meantime, debate over any limits to be placed on training LLMs must address concerns over equity, transparency, and authenticity. Roy Kaufman, CCC Managing Director of Business Development and Government Relations will be speaking at the Scholarly Kitchen panel on ’AI and Its Impact on OA’ at the Frankfurt Studio – Professional Programme (Foyer, Hall 4.0) on 19 October noon – 1:00 pm CEST.