Fraud, Deception, and Subversion: Recommendations for Maintaining Data Integrity

Researchers increasingly use online tools to advertise studies, recruit participants, and collect data, enabling access to individuals in remote or rural areas, those with limited mobility, and participants facing time constraints. While online platforms offer significant advantages, online research remains vulnerable to fraudulent activity, which can compromise the validity of study findings and deplete both funding and human resources. This special communication describes the real-world experiences of 2 research groups, 1 in Canada and 1 in the United States, who encountered fraudsters in both randomized controlled trials and observational studies. We conducted a literature review and identified 32 peer-reviewed articles addressing fraudulent participation and deceptive behaviors in online research. Drawing from both our experiences and the literature, we synthesize actionable strategies to prevent, detect, and manage fraud throughout the research process, including study design (eg, community involvement), advertisement (eg, limited information), recruitment and screening (eg, knowledge-based eligibility questions), assessment (eg, embedding repeated questions), data analysis (eg, removing fraudulent data), and remuneration (eg, clarifying reimbursement conditions). Despite the availability of these strategies, each study design presents unique vulnerabilities, and not all approaches are universally applicable. Researchers are encouraged to assess the specific risks associated with their study design and select strategies that align with their study objectives, balancing the need to minimize fraud, recruit genuine participants, and maintain data integrity.