Data Science Health Research

Data science health research uses computational algorithms and high-performance computing to handle large volumes of health-related data. The pace of DSHR has outstripped the ethical oversight frameworks intended to govern it. DSHR raises ethical challenges involving consent, re-identification, bias, commercial ownership, data colonisation, benefit-sharing, and cross-border data environments. The study aims to balance the benefits of DSHR with equitable protections for participants and communities.