Ontology highlight
ABSTRACT: Background
Data integrity is a priority in any internet research study; it should be maintained to protect the safety and privacy of human participants and to maintain the validity and reliability of research findings. However, one noteworthy risk of web-based research is fraudulent respondent activity. When investigators must utilize anonymous web-based recruitment techniques to reach hidden 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 data integrity plan (DIP) protocol that outlines steps for securing data integrity while conducting anonymous web-based data collection.Methods
In this paper, we discuss a p
SUBMITTER: Hohn KL
PROVIDER: S-EPMC9513686 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature