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Data Integrity Issues With Web-Based Studies: An Institutional Example of a Widespread Challenge

2024/07/13 by Blandine French, Camilla Babbage, Katherine Bird +5 · 1 voice
Social Sciences · Medicine · #Social Media in Health Education #Privacy, Security, and Data Protection #Ethics in Clinical Research

paper · pdf · doi:10.2196/58432

openalex publication_date 2024/07/13 · openalex created_date 2024/07/14 · openalex updated_date 2026/07/28

Abstract

This paper reports on the growing issues experienced when conducting web-based-based research. Nongenuine participants, repeat responders, and misrepresentation are common issues in health research posing significant challenges to data integrity. A summary of existing data on the topic and the different impacts on studies is presented. Seven case studies experienced by different teams within our institutions are then reported, primarily focused on mental health research. Finally, strategies to combat these challenges are presented, including protocol development, transparent recruitment practices, and continuous data monitoring. These strategies and challenges impact the entire research cycle and need to be considered prior to, during, and post data collection. With a lack of current clear guidelines on this topic, this report attempts to highlight considerations to be taken to minimize the impact of such challenges on researchers, studies, and wider research. Researchers conducting web-based research must put mitigating strategies in place, and reporting on mitigation efforts should be mandatory in grant applications and publications to uphold the credibility of web-based research.

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