Evidence map›Paper›PMID 26925395›Full record

ReviewFrontiers in public health2016

Who Owns the Data? Open Data for Healthcare.

Patty Kostkova, Helen Brewer, Simon de Lusignan, Edward Fottrell, Ben Goldacre, Graham Hart, Phil Koczan, Peter Knight, Corinne Marsolier, Rachel A McKendry and 7 more

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 6 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

66 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Open Science Practices in Communication Sciences and Disorders: A Survey.Journal of speech, language, and hearing research : JSLHR · 2023
    Article
  17. Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2023
    Article
  18. Article
  19. Article
  20. Review

6 more citing papers are in PubMed but not listed here.

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

17 authors.

Patty KostkovaDepartment of Computer Science, University College London (UCL) , London , UK.
Helen BrewerParliamentary Office of Science and Technology , London , UK.
Simon de LusignanDepartment of Clinical and Experimental Medicine, University of Surrey, Guildford, and Royal College of General Practitioners Research and Surveillance Centre , London , UK.
Edward FottrellLondon School of Hygiene & Tropical Medicine , London , UK.
Ben GoldacreFaculty of Population Health Sciences, University College London (UCL) , London , UK.
Graham HartLondon School of Hygiene & Tropical Medicine , London , UK.
Phil KoczanUniversity College London Partners (UCLP) , London , UK.
Peter KnightDepartment of Health , London , UK.
Corinne MarsolierCisco Consulting Services, Life Sciences, Health and Care , Paris , France.
Rachel A McKendryThe London Centre for Nanotechnology and Division of Medicine, University College London (UCL) , London , UK.
Emma RossChatham House Centre on Global Health Security , London , UK.
Angela SasseDepartment of Computer Science, University College London (UCL) , London , UK.
Ralph SullivanHealth Informatics Group, Royal College of General Practitioners , London , UK.
Sarah ChaytorUCL Public Policy, UCL , London , UK.
Olivia StevensonUCL Public Policy, UCL , London , UK.
Raquel VelhoDepartment of Science and Technology Studies, UCL , London , UK.
John TookeSchool of Life and Medical Sciences, UCL , London , UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effects of treatments, while also facilitating analyses tailored to an individual's characteristics, known as personalized or "stratified medicine." Developments, such as crowdsourcing, participatory surveillance, and individuals pledging to become "data donors" and the "quantified self" movement (where citizens share data through mobile device-connected technologies), have great potential to contribute to our knowledge of disease, improving diagnostics, and delivery of -healthcare and treatment. There is not only a great potential but also major concerns over privacy, confidentiality, and control of data about individuals once it is shared. Issues, such as user trust, data privacy, transparency over the control of data ownership, and the implications of data analytics for personal privacy with potentially intrusive inferences, are becoming increasingly scrutinized at national and international levels. This can be seen in the recent backlash over the proposed implementation of care.data, which enables individuals' NHS data to be linked, retained, and shared for other uses, such as research and, more controversially, with businesses for commercial exploitation. By way of contrast, through increasing popularity of social media, GPS-enabled mobile apps and tracking/wearable devices, the IT industry and MedTech giants are pursuing new projects without clear public and policy discussion about ownership and responsibility for user-generated data. In the absence of transparent regulation, this paper addresses the opportunities of Big Data in healthcare together with issues of responsibility and accountability. It also aims to pave the way for public policy to support a balanced agenda that safeguards personal information while enabling the use of data to improve public health.

Indexed as

data ownershipdata policyhealthcare EPRopen dataprivacy

Identifiers

PMID26925395
PMCPMC4756607

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.