Preventing and Protecting Against Internet Research Fraud in Anonymous Web-Based Research: Protocol for the Development and Implementation of an Anonymous Web-Based Data Integrity Plan

UNCW Author/Contributor (non-UNCW co-authors, if there are any, appear on document)
April Braswell (Creator)
James DeVita, Associate Professor, Program Coordinator for the M.Ed. in Higher Education (Creator)
Kris Hohn (Creator)
Institution
The University of North Carolina Wilmington (UNCW )
Web Site: http://library.uncw.edu/

Abstract: Background: Data integrity is a priority in any internet research study; it should be maintained to protect the safety and privacyof human participants and to maintain the validity and reliability of research findings. However, one noteworthy risk of web-basedresearch is fraudulent respondent activity. When investigators must utilize anonymous web-based recruitment techniques to reachhidden and expanded populations, steps should be taken to safeguard the integrity of data collected.Objective: The purpose of this paper is to present a novel protocol in the form of an anonymous web-based research dataintegrity plan (DIP) protocol that outlines steps for securing data integrity while conducting anonymous web-based data collection.Methods: In this paper, we discuss a protocol regarding the development and implementation of a specific DIP in response tofraudulent activity in an original large-scale mixed methods study launched in April 2021. Four primary steps, each with a set ofaffiliated procedures, are presented: (1) defining the risks, (2) planning research protocols, (3) securing data collection andrecruitment, and (4) determining enrollment.Results: Following the relaunch of a large-scale original study and implementation of the DIP protocol, preliminary analysesdemonstrated no fraudulent activity. A pre-post analysis is underway to evaluate the effectiveness of the DIP strategies fromFebruary 2022 through May 2023.Conclusions: Implementing the DIP protocol could save valuable research time, provides a process to examine data critically,and enables the contribution of rigorous findings to various health fields.

Additional Information

Publication
https://doi.org/10.2196/38550
Language: English
Date: 2022
Keywords
data integrity protocol, DIP, anonymous online research, research fraud, IP geolocation, steps and procedures, pre-post intervention outcomes, online, research protocol, data privacy, validity, reliability

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