Literature DB >> 32937036

Big Data, Biomedical Research, and Ethics Review: New Challenges for IRBs.

Agata Ferretti1, Marcello Ienca2, Samia Hurst3, Effy Vayena4.   

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.
© 2020 by The Hastings Center. All rights reserved.

Entities:  

Keywords:  big data; big data research; biomedical research; institutional review board (IRB); research ethics

Mesh:

Year:  2020        PMID: 32937036      PMCID: PMC7814666          DOI: 10.1002/eahr.500065

Source DB:  PubMed          Journal:  Ethics Hum Res        ISSN: 2578-2355


  13 in total

1.  The use of grey literature in health sciences: a preliminary survey.

Authors:  V Alberani; P De Castro Pietrangeli; A M Mazza
Journal:  Bull Med Libr Assoc       Date:  1990-10

2.  Could Big Data be the end of theory in science? A few remarks on the epistemology of data-driven science.

Authors:  Fulvio Mazzocchi
Journal:  EMBO Rep       Date:  2015-09-10       Impact factor: 8.807

3.  State-of-the-evidence reviews: advantages and challenges of including grey literature.

Authors:  Karen M Benzies; Shahirose Premji; K Alix Hayden; Karen Serrett
Journal:  Worldviews Evid Based Nurs       Date:  2006       Impact factor: 2.931

Review 4.  The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts.

Authors:  Brent Daniel Mittelstadt; Luciano Floridi
Journal:  Sci Eng Ethics       Date:  2015-05-23       Impact factor: 3.525

5.  Don't let industry write the rules for AI.

Authors:  Yochai Benkler
Journal:  Nature       Date:  2019-05       Impact factor: 49.962

6.  Big data and ethics review for health systems research in LMICs: understanding risk, uncertainty and ignorance -- and catching the black swans?

Authors:  Türkay Dereli; Yavuz Coşkun; Eugene Kolker; Oner Güner; Mehmet Ağırbaşlı; Vural Ozdemir
Journal:  Am J Bioeth       Date:  2014       Impact factor: 11.229

7.  Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.

Authors:  Yilun Wang; Michal Kosinski
Journal:  J Pers Soc Psychol       Date:  2018-02

8.  Anonymising and sharing individual patient data.

Authors:  Khaled El Emam; Sam Rodgers; Bradley Malin
Journal:  BMJ       Date:  2015-03-20

9.  Public trust and 'ethics review' as a commodity: the case of Genomics England Limited and the UK's 100,000 genomes project.

Authors:  Gabrielle Natalie Samuel; Bobbie Farsides
Journal:  Med Health Care Philos       Date:  2018-06

10.  Big Data and Dementia: Charting the Route Ahead for Research, Ethics, and Policy.

Authors:  Marcello Ienca; Effy Vayena; Alessandro Blasimme
Journal:  Front Med (Lausanne)       Date:  2018-02-06
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  5 in total

Review 1.  Rethinking the role of Research Ethics Committees in the light of Regulation (EU) No 536/2014 on clinical trials and the COVID-19 pandemic.

Authors:  Silvia Tusino; Maria Furfaro
Journal:  Br J Clin Pharmacol       Date:  2021-05-05       Impact factor: 3.716

2.  The Challenges of Big Data for Research Ethics Committees: A Qualitative Swiss Study.

Authors:  Agata Ferretti; Marcello Ienca; Minerva Rivas Velarde; Samia Hurst; Effy Vayena
Journal:  J Empir Res Hum Res Ethics       Date:  2021-11-15       Impact factor: 1.742

3.  Embedded ethics: a proposal for integrating ethics into the development of medical AI.

Authors:  Stuart McLennan; Amelia Fiske; Daniel Tigard; Ruth Müller; Sami Haddadin; Alena Buyx
Journal:  BMC Med Ethics       Date:  2022-01-26       Impact factor: 2.652

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

Authors:  Agata Ferretti; Marcello Ienca; Mark Sheehan; Alessandro Blasimme; Edward S Dove; Bobbie Farsides; Phoebe Friesen; Jeff Kahn; Walter Karlen; Peter Kleist; S Matthew Liao; Camille Nebeker; Gabrielle Samuel; Mahsa Shabani; Minerva Rivas Velarde; Effy Vayena
Journal:  BMC Med Ethics       Date:  2021-04-30       Impact factor: 2.652

Review 5.  Digital approaches to enhancing community engagement in clinical trials.

Authors:  Rayner K J Tan; Dan Wu; Suzanne Day; Yang Zhao; Heidi J Larson; Sean Sylvia; Weiming Tang; Joseph D Tucker
Journal:  NPJ Digit Med       Date:  2022-03-25
  5 in total

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