Evidence map›Paper›PMID 33931049›Full record

ReviewBMC medical ethics2021

Ethics review of big data research: What should stay and what should be reformed?

Agata Ferretti, Marcello Ienca, Mark Sheehan, Alessandro Blasimme, Edward S Dove, Bobbie Farsides, Phoebe Friesen, Jeff Kahn, Walter Karlen, Peter Kleist and 6 more

Abstract readReview
In one paragraph

Review in BMC medical ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Article
  2. Article
  3. The Challenges of Web Scraping and AI for Research Ethics in Canada: A Survey of University REBs.Journal of empirical research on human research ethics : JERHRE · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Training Bioethics Professionals in AI Ethics: A Framework.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Clinical Research Informatics: a Decade-in-Review.Yearbook of medical informatics · 2024
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Agata FerrettiHealth Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zürich, Hottingerstrasse 10 (HOA), 8092, Zürich, Switzerland. agata.ferretti@hest.ethz.ch.ORCID 0000-0001-6716-5713
Marcello IencaHealth Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zürich, Hottingerstrasse 10 (HOA), 8092, Zürich, Switzerland.
Mark SheehanThe Ethox Centre, Department of Population Health, University of Oxford, Oxford, UK.
Alessandro BlasimmeHealth Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zürich, Hottingerstrasse 10 (HOA), 8092, Zürich, Switzerland.
Edward S DoveSchool of Law, University of Edinburgh, Edinburgh, UK.
Bobbie FarsidesBrighton and Sussex Medical School, Brighton, UK.
Phoebe FriesenBiomedical Ethics Unit, Department of Social Studies of Medicine, McGill University, Montreal, Canada.
Jeff KahnJohns Hopkins Berman Institute of Bioethics, Baltimore, USA.
Walter KarlenMobile Health Systems Lab, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.
Peter KleistCantonal Ethics Committee Zürich, Zürich, Switzerland.
S Matthew LiaoCenter for Bioethics, Department of Philosophy, New York University, New York, USA.
Camille NebekerResearch Center for Optimal Digital Ethics in Health (ReCODE Health), Herbert Wertheim School of Public Health and Longevity Science, University of California, San Diego, USA.
Gabrielle SamuelDepartment of Global Health and Social Medicine, King's College London, London, UK.
Mahsa ShabaniFaculty of Law and Criminology, Ghent University, Ghent, Belgium.
Minerva Rivas VelardeDepartment of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Effy VayenaHealth Ethics and Policy Lab, Department of Health Sciences and Technology, ETH Zürich, Hottingerstrasse 10 (HOA), 8092, Zürich, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 407540_167223 (NRP 75 Big Data)
6 · The paper itself

Abstract

backgroundEthics review is the process of assessing the ethics of research involving humans. The Ethics Review Committee (ERC) is the key oversight mechanism designated to ensure ethics review. Whether or not this governance mechanism is still fit for purpose in the data-driven research context remains a debated issue among research ethics experts. MAIN TEXT: In this article, we seek to address this issue in a twofold manner. First, we review the strengths and weaknesses of ERCs in ensuring ethical oversight. Second, we map these strengths and weaknesses onto specific challenges raised by big data research. We distinguish two categories of potential weakness. The first category concerns persistent weaknesses, i.e., those which are not specific to big data research, but may be exacerbated by it. The second category concerns novel weaknesses, i.e., those which are created by and inherent to big data projects. Within this second category, we further distinguish between purview weaknesses related to the ERC's scope (e.g., how big data projects may evade ERC review) and functional weaknesses, related to the ERC's way of operating. Based on this analysis, we propose reforms aimed at improving the oversight capacity of ERCs in the era of big data science.

conclusionsWe believe the oversight mechanism could benefit from these reforms because they will help to overcome data-intensive research challenges and consequently benefit research at large.

Indexed as

Big DataBiomedical ResearchAdvisory CommitteesEthics Committees, ResearchEthics, ResearchHumansBig dataBiomedical researchEthicsEthics reviewIRBsRECsResearch ethics

Identifiers

PMID33931049
PMCPMC8085804

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.