KnowledgeWorks Global Ltd. (KGL), the leading provider of transformative content solutions, and DataSeer.ai, a premier resource for AI-powered Open Science compliance, have announced an agreement to embed automated checks for data sharing best practices into KGL’s Smart Review tool. The new partnership both expedites the peer review process for journal stakeholders and enhances the quality, transparency, and reliability of published research.
DataSeer uses advanced automation to identify essential data-sharing, reporting, and reproducibility requirements in scientific manuscripts. By embedding DataSeer’s SnapShot tool into KGL Smart Review, every paper undergoes rigorous checks resulting in improved data sharing and integrity. Publishers on Smart Review benefit from DataSeer’s AI technology, which identifies shared datasets, recommends repositories, and analyzes data availability statements.
This seamless integration expands Smart Review’s comprehensive checks and automation of manual tasks with top tools and platforms to further streamline the peer review process and boost efficiency. Publishers and researchers will see faster turnaround times, reduced manual work, and improved compliance with data-sharing best practices and funder requirements.
Atul Goel, President of KGL commented, “Research integrity and Open Data compliance are top-of-mind for our customers. By partnering with DataSeer, KGL adds a crucial submission check and considerable time savings for users of our groundbreaking Smart Review platform. Our shared commitment to innovation and empowering authors and reviewers will pay dividends for publishers and protect their reputations for quality.”
Tim Vines, Founder and CEO of DataSeer added, “KGL’s Smart Review is a very innovative product and we’re very proud to be part of the workflow. This is an exciting time for peer review more broadly as we’re seeing greater adoption of AI tools and thus making review management more scalable and efficient.”
