Integrity Central is composed of a combination of systems — rule engines, ML, LLMs, and human-in-the-loop oversight — for integrity checks across the workflow.
Integrity Central supports informed decision-making with an editorial experience that is consistent and reliable.
Integrity Central safeguards integrity from submission to the post-acceptance stage with a threaded approach.
Submissions are up, and so are the risks to research integrity. Editors are spending hours on checks that don’t need their judgment.
Integrity Central clears that layer. Every manuscript gets a red, amber, or green signal across the integrity indicators that matter, so editors know where to take a closer look.
A single interface with a modular architecture for integrity checks across stages, suppliers, and editors. For a consistent and predictable editorial experience.
Submissions are assessed and organised into colour-coded buckets based on next actions, so editors know which articles to examine more closely and what to look for.
Reduced noise from false positives and fewer risks posed by false negatives with an ensemble module that ranks findings by severity and certainty.
Built to engage with the entirety of the research integrity universe in scholarly publishing: authorship integrity, citation integrity, image integrity, data integrity, and content integrity.
Integrity Central’s checks are enhanced by Lumina Datamatics’ JEO services, carried out by their seasoned editorial teams.
TNQTech has partnered with Imagetwin and DataSeer to strengthen Integrity Central’s image and data screening processes, which are held up to additional layers of scrutiny with our human experts.
fewer missing elements found downstream
images
screened per year
pages processed
for technical checks
