Integrity Central runs completeness and compliance checks on submitted manuscripts, significantly reducing time-to-publication.
Accurate metadata based on journal guidelines
The ML-based structuring engine extracts metadata from manuscripts and runs checks against the metadata provided in the submission system, as well as journal guidelines.
Reduced queries and edits
By addressing missing elements straightaway, our customers have seen a 70% reduction in queries raised to authors, and a 60% drop in edits made while proofing.
Automated extraction
of accurate metadata
Integrity Central draws on TNQTech’s AI-powered auto-structuring engine to extract metadata within seconds. It compares them with the metadata provided at the time of submission, checks if they are compliant with journal guidelines, and highlights where the gaps are.
Integration into submission systems and publisher platforms
Whether you use Editorial Manager, EJPress, ScholarOne or any other publishing system, Integrity Central can integrate into your system and interface of choice via API.
Augmented author
experience and satisfaction
Optimal attention to manuscripts right upfront results in improved author satisfaction. Queries raised to authors are down by about 70%, and they spend less time making edits and changes in the proofing stage.
Manuscript insights for
a more productive workflow
Integrity Central parses submissions to check for available or missing metadata and generates a report highlighting inconsistencies in floats, references, and supplementary material, all within minutes.
What our clients are saying
With Proof Central, we provide our authors a quicker,more powerful and digital-first way to correct theirproofs compared to traditional methods while streamlining the proof correction workflow for faster publication and greater efficiency."
With Proof Central, we provide our authors a quicker,more powerful and digital-first way to correct theirproofs compared to traditional methods while streamlining the proof correction workflow for faster publication and greater efficiency."
Previous
Next
TNQTech is trusted by
GET IN TOUCH
To discuss integrating Integrity Central into your publishing workflow
Manuscripts assessment for language quality, AI-assisted.
Language quality scoring to help publishers assign the right levels of copy editing to manuscripts. Built on linguistically-informed rule-based deep learning models.