Scalable research integrity screening built for publishing workflows
Dimensions is set to launch the Author Check API, a new Digital Science solution designed to help publishers embed scalable, reliable research integrity checks directly into editorial and submission workflows.
The API will enable the evaluation of researchers’ publication and collaboration histories in seconds, without requiring users to leave their existing platforms. Built on Dimensions, the most comprehensive research integrity dataset available, the Author Check API will deliver concise, structured insights to support consistent and confident editorial decision-making.
By highlighting key indicators such as retractions, tortured phrases, or atypical co-authorship patterns the API will help to identify potential integrity concerns across authors, reviewers, or editors at scale. The ability to screen multiple researchers per request makes it ideal for high-volume manuscript processing and broader editorial oversight.
Key benefits include:
- Seamless integration: A standards-based RESTful API designed for easy deployment within internal systems or third-party platforms.
- Actionable insights: Clear summaries highlight key aspects of researchers’ publication and collaboration histories.
- Operational efficiency: Reduces the editorial workload while enhancing the quality and consistency of integrity assessments.
- Support for transparency and trust: Strengthens research publishing practices by surfacing critical integrity information at key decision points.
Optimized for performance and reliability, the Author Check API is a flexible, scalable solution aligned with the needs of modern publishing infrastructures.
For more information or to explore integration options, please contact the Digital Science Publisher Team.