DataSeer applies NLP to open science compliance: automated checks of manuscripts against transparency and reproducibility standards, open science metrics across large corpora, and real-time triage.
Benefits & outcomes
Standardised assessment of research transparency at speed.
Helps researchers meet funder and journal open data requirements.
Publishers can monitor open science practice at scale instead of line-by-line manual review.
Notes & quotes
“Why not have Artificial Intelligence do the same job in seconds?” — Tim Vines, Founder and CEO
“SnapShot… allows journals to triage manuscripts for open science practice in seconds.”
2022 SSP People's Choice Award for Best Innovation; shortlisted for the 2020 ALPSP Innovation Awards; Outsell Emerging 50 in 2023. Developed with Sloan Foundation support.
Publisher / company: DataSeer
Date of mention: 01/01/2022
Source: https://dataseer.ai/about/