CANDIDATE: A tool for generating anonymous participant-linking IDs in multi-session studies.

ABSTRACT:

Background

To ensure the privacy of participants is an ethical and legal obligation for researchers. Yet, achieving anonymity can be technically difficult. When observing participants over time one needs mechanisms to link the data from the different sessions. Also, it is often necessary to expand the sample of participants during a project.

Objectives

To help researchers simplify the administration of such studies the CANDIDATE tool is proposed. This tool allows simple, unique, and anonymous participant IDs to be generated on the fly.

Method

Simulations were used to validate the uniqueness of the IDs as well as their anonymity.

Results

The tool can successfully generate IDs with a low collision rate while maintaining high anonymity. A practical compromise betw

SUBMITTER: Sandnes FE 

PROVIDER: S-EPMC8673636 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature