Evidence map›Paper›PMID 31950088›Full record

ArticleWellcome open research2019

Advancing good governance in data sharing and biobanking - international aspects.

Buddhika Fernando, Mandella King, Athula Sumathipala

Abstract read
In one paragraph

Article in Wellcome open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Review
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  15. Considerations for diagnostic COVID-19 tests.Nature reviews. Microbiology · 2021
    Review
  16. Article
  17. The Responses of Biobanks to COVID-19.Biopreservation and biobanking · 2020
    Article
  18. Article
  19. 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

3 authors.

Buddhika FernandoInstitute for Research and Development, 393/3 Lily Avenue, Robert Gunawardena Mawatha, Battaramulla, 10120, Sri Lanka.ORCID https://orcid.org/0000-0001-6352-2832
Mandella KingSt. Joseph's Catholic Hospital, Monrovia, Liberia.ORCID https://orcid.org/0000-0001-8027-7402
Athula SumathipalaInstitute for Research and Development, 393/3 Lily Avenue, Robert Gunawardena Mawatha, Battaramulla, 10120, Sri Lanka.ORCID https://orcid.org/0000-0002-8706-2698

Funding

Wellcome Trust
6 · The paper itself

Abstract

Ethical and effective data-sharing among countries can be achieved by considering the interests of all relevant parties: research participants, researchers and funders. Fears of exploitation, however, both of research participants and researchers from low- and middle-income countries (LMIC), can undermine the free flow of data necessary for scientific advancement. In this Open Letter, two case studies presented at the 2018 Global Forum on Bioethics in Research meeting on the Ethics of data sharing and biobanking in Cape Town, South Africa, function as the focal point for a reflection on the attributes of an ideal model of good data governance and how it can help support ethical best practices in biobanking and data sharing. Consideration of the case studies as well as the literature indicate three broad principles that need to be reflected in an ideal data governance framework: (i) collaboration - both among researchers as well as between researchers and participants, (ii) fairness - ensuring that all parties in international collaborations, the data provider, primary data gathering LMIC researcher and the high income country (HIC) institution/funder are treated fairly, and (iii) working towards a level playing field - neither collaboration nor fairness can be effectively achieved with the existing power differential between HIC and LMIC researchers/institutions; it is therefore necessary to work towards achieving a more level playing field between partners in research collaborations. Promoting good governance of data through fair, efficient and accountable governance frameworks can help build trust and ensure continued international data sharing.

Indexed as

biobankingcapacity buildingcollaborationdata governance frameworksData-sharingfairnessLMIC

Identifiers

PMID31950088
PMCPMC6945104

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.