ArticleEthics & human research2020
Big Data, Biomedical Research, and Ethics Review: New Challenges for IRBs.
Article in Ethics & human research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 43 citations in OpenAlex.
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- Consideration and Disclosure of Group Risks in Genomics and Other Data-Centric Research: Does the Common Rule Need Revision?The American journal of bioethics : AJOB · 2025Article
- Behind the scenes of research ethics committee oversight: a qualitative research study with committee chairs in the Middle East and North Africa region.BMC medical ethics · 2024Article
- Developing an ethical framework-guided instrument for assessing bias in EHR-based Big Data studies: a research protocol.BMJ open · 2023Article
- Effect of Radiographic Contrast Media Shortage on Stroke Evaluation in the United States.AJNR. American journal of neuroradiology · 2023Article
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- Health data privacy through homomorphic encryption and distributed ledger computing: an ethical-legal qualitative expert assessment study.BMC medical ethics · 2022Article
- In the shadow of privacy: Overlooked ethical concerns in COVID-19 digital epidemiology.Epidemics · 2022Article
- Digital approaches to enhancing community engagement in clinical trials.NPJ digital medicine · 2022Review
- Embedded ethics: a proposal for integrating ethics into the development of medical AI.BMC medical ethics · 2022Article
- Rethinking the role of Research Ethics Committees in the light of Regulation (EU) No 536/2014 on clinical trials and the COVID-19 pandemic.British journal of clinical pharmacology · 2022Review
- Ethics review of big data research: What should stay and what should be reformed?BMC medical ethics · 2021Review
- Institutional Review Board Use of Outside Experts: A National Survey.AJOB empirical bioethicsArticle
- The Challenges of Big Data for Research Ethics Committees: A Qualitative Swiss Study.Journal of empirical research on human research ethics : JERHREArticle
Corrections and comments
- Erratum issuedERRATUM.2020
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.