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Big Data, Biomedical Research, and Ethics Review: New Challenges for IRBs
Author(s) -
Ferretti Agata,
Ienca Marcello,
Hurst Samia,
Vayena Effy
Publication year - 2020
Publication title -
ethics and human research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 32
eISSN - 2578-2363
pISSN - 2578-2355
DOI - 10.1002/eahr.500065
Subject(s) - engineering ethics , big data , data science , political science , computer science , engineering , data mining
The increased use of big data in the medical field has shifted the way in which biomedical research is designed and carried out. The novelty of techniques and methods brought by big data research brings new challenges to institutional review boards (IRBs). Yet it is unclear if IRBs should be the responsible oversight bodies for big data research and, if so, which criteria they should use. A large but heterogenous set of ethics guidelines and normative responses have emerged to address these issues. In this study, we conducted a scoping review of soft‐law documents and guidelines with the aim of assessing ongoing normative efforts that are proliferating in this domain. We also synthesize a set of recurrent guidelines that could work as a baseline to create a harmonized process for big data research ethics.