Evidence map›Paper›PMID 28321561›Full record

ArticleJournal of bioethical inquiry2017

Ethics and Epistemology in Big Data Research.

Wendy Lipworth, Paul H Mason, Ian Kerridge, John P A Ioannidis

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of bioethical inquiry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Review
  13. A call for an ethical framework when using social media data for artificial intelligence applications in public health research.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2020
    Article
  14. Article
  15. Article
  16. The quality of research with real-world evidence.Colombia medica (Cali, Colombia) · 2019
    Article
  17. Article
  18. Article
  19. Evidence-based medicine and big genomic data.Human molecular genetics · 2018
    Review
  20. Ethics and Epistemology of Big Data.Journal of bioethical inquiry · 2017
    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

4 authors.

Wendy LipworthCentre for Values, Ethics and the Law in Medicine, University of Sydney, Medical Foundation Building (K25), Sydney, NSW, 2006, Australia. wendy.lipworth@sydney.edu.au.ORCID http://orcid.org/0000-0002-0234-657X
Paul H MasonCentre for Values, Ethics and the Law in Medicine, University of Sydney, Medical Foundation Building (K25), Sydney, NSW, 2006, Australia.
Ian KerridgeCentre for Values, Ethics and the Law in Medicine, University of Sydney, Medical Foundation Building (K25), Sydney, NSW, 2006, Australia.
John P A IoannidisStanford University School of Medicine, Stanford, CA, USA.

Funding

National Health and Medical Research Council 1036539National Health and Medical Research Council (AU) 1083980
6 · The paper itself

Abstract

Biomedical innovation and translation are increasingly emphasizing research using "big data." The hope is that big data methods will both speed up research and make its results more applicable to "real-world" patients and health services. While big data research has been embraced by scientists, politicians, industry, and the public, numerous ethical, organizational, and technical/methodological concerns have also been raised. With respect to technical and methodological concerns, there is a view that these will be resolved through sophisticated information technologies, predictive algorithms, and data analysis techniques. While such advances will likely go some way towards resolving technical and methodological issues, we believe that the epistemological issues raised by big data research have important ethical implications and raise questions about the very possibility of big data research achieving its goals.

Indexed as

KnowledgeResearch DesignBiomedical ResearchDatasets as TopicEthics, ResearchHumansBig dataEpistemologyEthicsReal world data

Identifiers

What OpenQuestion holds

Textmetadata
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.