The American Association for the Advancement of Science (AAAS), publisher of the Science family of journals, has announced an extension of its partnership with DataSeer to pilot AI-supported workflows aimed at improving research reporting and editorial efficiency. The six-month initiative will test how DataSeer’s artificial intelligence technology can fully automate the generation of MDAR (Materials, Design, Analysis, and Reporting) checklists for manuscripts submitted to Science.
MDAR checklists are critical for ensuring transparency and reproducibility in scientific publishing, but their preparation can be resource-intensive. The pilot will evaluate whether automation can reduce manual effort while maintaining alignment with Science’s editorial standards. As part of the collaboration, DataSeer will deploy its SnapShot technology to generate pre-filled MDAR reports directly from manuscript content, which will then be reviewed by Science editors for accuracy and usability.
Valda Vinson, Executive Editor of the Science journals, emphasized that clear and consistent reporting is central to the integrity of the scientific record. She noted that the pilot would help determine how AI-driven tools can support editors and authors in meeting these expectations more efficiently. Tim Vines, Founder and CEO of DataSeer, highlighted AAAS’s leadership in advancing transparency and rigor in research reporting. He explained that the collaboration would explore how automated MDAR generation could support editorial teams while preserving the high standards expected of Science.
The pilot is also expected to provide insights into how AI-supported workflows can contribute to broader efforts to strengthen research transparency, data sharing, and reproducibility across the scientific publishing ecosystem.
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