dataseer SnapShot

Stronger publications, less journal office admin

DataSeer SnapShot is an AI-powered tool that navigates open data expectations & delivers context-specific feedback.

SnapShot integrates directly into your journal submission platform, where it scans the full text of submitted manuscripts against your journal’s specific editorial policies.

The results?

Clear, actionable reporting.

Top-level summary, backed by itemized findings.

Meaningful feedback.

Personalized, author-ready revision instructions.

Streamlined manuscript triage.

For more editorial checks.

For journals, SnapShot brings faster editorial times, more consistent articles, and an editorial team freed from administrative backlogs and able to focus on building their community.

For authors, it contributes to a positive, supported experience that results in more trusted, impactful publications.

Over time, individual interventions add up to real change

Monitor SnapShot’s impact at the portfolio level. Open Science Metrics measure open science adoption across thousands of published articles. Track progress and identify new opportunities based on real, relevant data.

Specs

What does SnapShot check for?

Sharing of new datasets
Sharing locations, including repositories, supporting information, and other websites
Presence of datasets or Personal Information in the Supplemental Files
Validity of non-compliance excuses (e.g. ethical restriction on data sharing)

Looking for more checks?

DataSeer’s Natural Language Processing technology is incredibly flexible and robust, and capable of learning new checks. Contact us to discuss your specific needs.