Paper Short Abstract

Using a data-led approach, one society based publisher will share their research integrity data, recorded between 2019 and 2024, to showcase the scale and pace of change that has taken place. They will then reflect on the policy changes that have been made as a result.

Paper Abstract

This presentation will present an analysis of high-level data from recent research integrity cases at a medium-sized society publisher, highlighting key trends and the subsequent policy changes implemented to address these issues.

We analyse data recorded between 2019 and 2024 (inclusive) relating to research integrity allegations, both pre and post publication. This data shows what types of problems are emerging and at what scale.

Our findings indicate a notable increase in cases involving author changes, the use of recommended reviewers, and the need for careful vetting of reviewer reports. Additionally, the use of generative artificial intelligence by both authors and reviewers has introduced new complexities, necessitating updates to existing policies.

In response, we have developed pragmatic approaches to ensure the integrity of the peer review process. By sharing our experiences and strategies, we aim to foster a collaborative dialogue on best practices for maintaining research integrity in an increasingly complex and technologically advanced environment.

This could work as a poster or a talk/presentation.