Evidence map›Paper›PMID 25124199›Full record

ArticleBMC medical ethics2014

Knowing who to trust: exploring the role of 'ethical metadata' in mediating risk of harm in collaborative genomics research in Africa.

Jantina de Vries, Thomas N Williams, Kalifa Bojang, Dominic P Kwiatkowski, Raymond Fitzpatrick, Michael Parker

Abstract read
In one paragraph

Article in BMC medical ethics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Towards trust-based governance of health data research.Medicine, health care, and philosophy · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. "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
  11. Review
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

6 authors.

Jantina de VriesDepartment of Medicine, University of Cape Town, Anzio Road Observatory, Cape Town 7925, South Africa. Jantina.devries@uct.ac.za.
Thomas N Williams
Kalifa Bojang
Dominic P Kwiatkowski
Raymond Fitzpatrick
Michael Parker

Funding

Medical Research Council G0600718Medical Research Council G19/9Medical Research Council MC_UP_A900_1118Wellcome Trust 090532Wellcome Trust 090770Wellcome Trust 090770/Z/09/ZWellcome Trust 091758Wellcome Trust WT076934/Z/05/ZWellcome Trust WT077383/Z/05/ZWellcome Trust WT083326Wellcome Trust WT087285Wellcome Trust WT096527
6 · The paper itself

Abstract

backgroundThe practice of making datasets publicly available for use by the wider scientific community has become firmly integrated in genomic science. One significant gap in literature around data sharing concerns how it impacts on scientists' ability to preserve values and ethical standards that form an essential component of scientific collaborations. We conducted a qualitative sociological study examining the potential for harm to ethnic groups, and implications of such ethical concerns for data sharing. We focused our empirical work on the MalariaGEN Consortium, one of the first international collaborative genomics research projects in Africa.

methodsWe conducted a study in three MalariaGEN project sites in Kenya, the Gambia, and the United Kingdom. The study entailed analysis of project documents and 49 semi-structured interviews with fieldworkers, researchers and ethics committee members.

resultsConcerns about how best to address the potential for harm to ethnic groups in MalariaGEN crystallised in discussions about the development of a data sharing policy. Particularly concerning for researchers was how best to manage the sharing of genomic data outside of the original collaboration. Within MalariaGEN, genomic data is accompanied by information about the locations of sample collection, the limitations of consent and ethics approval, and the values and relations that accompanied sample collection. For interviewees, this information and context were of important ethical value in safeguarding against harmful uses of data, but is not customarily shared with secondary data users. This challenged the ability of primary researchers to protect against harmful uses of 'their' data.

conclusionWe identified three protective mechanisms--trust, the existence of a shared morality, and detailed contextual understanding--which together might play an important role in preventing the use of genomic data in ways that could harm the ethnic groups included in the study. We suggest that the current practice of sharing of datasets as isolated objects rather than as embedded within a particular scientific culture, without regard for the normative context within which samples were collected, may cause ethical tensions to emerge that could have been prevented or addressed had the 'ethical metadata' that accompanies genomic data also been shared.

Indexed as

Cooperative BehaviorMoral ObligationsBlack PeopleEthics, ResearchEthnicityGambiaGenetic ResearchGenomicsHumansInformation DisseminationInformed ConsentKenyaMalariaQualitative ResearchResearch PersonnelRisk

Identifiers

PMID25124199
PMCPMC4146449

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.