Features
- AI-ready data sets for use in internal projects
- A single point of access to full-text journal articles across a wide range of STM publishers
- Full text literature in a machine-readable, interoperable, JATS-compliant XML format
Benefits
- Enrich internal AI and machine learning projects with insights that can only be found in the full text of scientific articles.
- Reduce infringement risk by incorporating copyright compliance into your internal AI workflows.
- Spend less time converting PDF articles and negotiating licensing rights
- RightFind XML is part of the RightFind Suite—a robust set of software solutions that fuel scientific research and simplify copyright, anytime, anywhere
RightFind XML by the numbers
20+
participating publishers
3.4 million +
AI-ready articles
20 million +
Open Access articles, including 555,000+ non-PMC articles
Flexible models that meet your unique needs
Use CCC’s search interface to create queries on a project basis, filter results and download files relevant to your current needs
Embed RightFind XML functionality into your own automated tools and processes with a RESTful API
Access XML with a data feed option that delivers specified subscribed content in XML format and offers updated content at a regular cadence
Directly access CCC’s curated Open Access Corpus of CC-BY content in XML format
Featured resources
Open Access Corpus in RightFind XML
A unified source for machine-readable open access articles is a simple and cost-effective way to integrate scientific literature into knowledge extraction tools and enrich your outcomes.
Featured resources
Top 3 Challenges When Using Scientific Articles with Internal AI & Machine Learning Projects
In today’s R&D organizations, corporate librarians and the data scientists they support are looking to acquire as much AI-ready content as they can for their internal AI workflows, including scientific articles that number in the thousands, and sometimes millions.
From Reading to Loading: How AI Is Transforming Data Access in Life Sciences R&D
AI is transforming research and development by shifting how organizations interact with scientific content — from reading individual documents to loading large datasets for machine-driven analysis.
Creative Commons Licenses: Protecting Rights and Promoting Responsible Reuse in Data Science
Sharing scientific literature with colleagues and building on the work of others is essential for advancing research.