No one gets into scientific editing to complete checklists. But that’s how many of the PhDs and editorial professionals who staff our scholarly journals end up spending their days. Because there are too many manuscripts. Too many requirements. And somebody has to make sure those boxes get ticked.
Our AI-powered editorial support technology helps editors complete checklists faster – so editorial teams are free to spend their time on the tasks that actually require their expertise and creativity. Things like content editing, cultivating new authors, collaborating with editorial board members, and rethinking how best to communicate research.
The problem – Trapped between a rock and a hard place
Journal offices are overwhelmed. Our industry is facing rising publication fraud. Even legitimate work often cannot be validated and reproduced. To combat that, funders and publishers have introduced stringent policy requirements. Those policies require enforcement, which in turn mean complex manuscript checks — checks so demanding and time-consuming that they aren’t realistic. At the same time, cash is short. Costs are going up, and research funding is under threat. Sometimes it’s all we can do to keep our heads above the surface.
How do we stop treading water, and position ourselves for real progress?
Our solution – Automate the boring stuff
Fiddly, detailed, repetitive tasks like manuscript screening and research integrity checks consume editorial staff time, and inevitably there’s some degree of individual variation or human error.
DataSeer’s AI-powered editorial tools take those fussy, worky, dull editorial jobs and accomplish them instantaneously, consistently, and at a fraction of the cost. That way, your team can complete checklists faster, with less effort, focusing on special situations and serious concerns.
DataSeer SnapShot performs sophisticated manuscript checks against your journal’s specific criteria, triages manuscripts, and delivers customized, author-ready sendbacks to guide authors through the necessary revisions. That means less work for journal teams, more consistent policy application, and a higher-quality published output. Authors enjoy faster processing times and targeted support to help them achieve their publishing goals.
Here’s how it works.
Take a closer look at SnapShot
SnapShot scans the full text of each submission against your journal’s specific policy requirements and returns a top-level score, backed by detailed reporting on each relevant requirement. Manuscripts that meet journal standards move straight to peer review.
For those that don’t quite fulfill policy, SnapShot generates thoughtful, customized feedback and revision instructions — even for complex issues. Very serious concerns are flagged for editorial attention.
Chat functionality allows editorial staffers to query the LLM and update rules on the fly when and if needed.
That consistent, detailed, and intelligent screening has real, measurable impacts. Open Science Metrics tell us that journals with a data policy see on average about 30-40% compliance. Early studies of articles using SnapShot show that 70-90% properly reference, link, and share data. That makes the research significantly more transparent, reproducible, and reusable.
Get SnapShot in your publishing platform
DataSeer SnapShot is already available in many popular journal publishing platforms, including Aries’ Editorial Manager® (EM), Highwire Press, KGL Smart Review, and Kriyadocs Unified Publishing Ecosystems. More partnerships and integrations are on the way. Contact us to learn more, or to get started.
