Evidence map›Paper›PMID 24475754›Full record

ArticleGenome medicine2014

Data sharing policy design for consortia: challenges for sustainability.

Jane Kaye, Naomi Hawkins

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.1field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  8. Data Access Committees.BMC medical ethics · 2020
    Article
  9. Article
  10. Sharing data for future research-engaging participants' views about data governance beyond the original project: a DIRECT Study.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  11. Review
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  15. Review
  16. Article
  17. Article
  18. Registered access: a 'Triple-A' approach.European journal of human genetics : EJHG · 2016
    Article
  19. "You want the right amount of oversight": interviews with data access committee members and experts on genomic data access.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  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

2 authors at 2 institutions in 1 country.

Jane KayeHeLEX - Centre for Health, Law and Emerging Technologies, Department of Public Health, University of Oxford, Old Road Campus, Oxford OX3 7LF, UK.
Naomi HawkinsUniversity of Exeter Law School, Amory Building, Rennes Drive, Exeter EX4 4RJ, UK.
University of Exeter · GBUniversity of Oxford · GB

Funding

Wellcome Trust 096599
6 · The paper itself

Abstract

The field of human genomics has led advances in the sharing of data with a view to facilitating translation of research into innovations for human health. This change in scientific practice has been implemented through new policy developed by many principal investigators, project managers and funders, which has ultimately led to new forms of practice and innovative governance models for data sharing. Here, we examine the development of the governance of data sharing in genomics, and explore some of the key challenges associated with the design and implementation of these policies. We examine how the incremental nature of policy design, the perennial problem of consent, the gridlock caused by multiple and overlapping access systems, the administrative burden and the problems with incentives and acknowledgment all have an impact on the potential for data sharing to be maximized. We conclude by proposing ways in which the scientific community can address these problems, to improve the sustainability of data sharing into the future.

Identifiers

PMID24475754
PMCPMC3978924
OpenAlexW2131526736

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.