ArticleHuman genomics2018
Including all voices in international data-sharing governance.
Article in Human genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Involvement of children and young people in the conduct of health research: A rapid umbrella review.Health expectations : an international journal of public participation in health care and health policy · 2024Pooled it
- The ethical and legal landscape of brain data governance.PloS one · 2022Pooled it
- Patient views on research use of clinical data without consent: Legal, but also acceptable?European journal of human genetics : EJHG · 2019Trial
- From consent to participatory governance: The need for multi-stakeholder alignment in iPSC-based drug repurposing.Stem cell reports · 2026Article
- "It is important to me to know where the information is going": Views of adults with intellectual disability on data sharing in precision medicine research.Genetics in medicine open · 2026Article
- Article
- Generalisable Overview of Study Risk for Lead Investigators Needing Guidance (GOSLING): A data governance risk tool.PloS one · 2024Article
- Guidelines for genetic ancestry inference created through roundtable discussions.HGG advances · 2023Article
- Brain organoids and organoid intelligence from ethical, legal, and social points of view.Frontiers in artificial intelligence · 2023Review
- Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability.Frontiers in big data · 2023Article
- Patients' and Publics' Preferences for Data-Intensive Health Research Governance: Survey Study.JMIR human factors · 2022Article
- The potential of digital molecular diagnostics for infectious diseases in sub-Saharan Africa.PLOS digital health · 2022Review
- Public governance of medical artificial intelligence research in the UK: an integrated multi-scale model.Research involvement and engagement · 2022Review
- What can data trusts for health research learn from participatory governance in biobanks?Journal of medical ethics · 2022Article
- Public Views About Involvement in Decision-Making on Health Data Sharing, Access, Use and Reuse: The Importance of Trust in Science and Other Institutions.Frontiers in public health · 2022Article
- Big Data in Nephrology.Nature reviews. Nephrology · 2021Review
- The social licence for data-intensive health research: towards co-creation, public value and trust.BMC medical ethics · 2021Review
- Of Screening, Stratification, and Scores.Journal of personalized medicine · 2021Review
- Citizens' views on sharing their health data: the role of competence, reliability and pursuing the common good.BMC medical ethics · 2021Article
- Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview.Briefings in bioinformatics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
backgroundGovernments, funding bodies, institutions, and publishers have developed a number of strategies to encourage researchers to facilitate access to datasets. The rationale behind this approach is that this will bring a number of benefits and enable advances in healthcare and medicine by allowing the maximum returns from the investment in research, as well as reducing waste and promoting transparency. As this approach gains momentum, these data-sharing practices have implications for many kinds of research as they become standard practice across the world. MAIN TEXT: The governance frameworks that have been developed to support biomedical research are not well equipped to deal with the complexities of international data sharing. This system is nationally based and is dependent upon expert committees for oversight and compliance, which has often led to piece-meal decision-making. This system tends to perpetuate inequalities by obscuring the contributions and the important role of different data providers along the data stream, whether they be low- or middle-income country researchers, patients, research participants, groups, or communities. As research and data-sharing activities are largely publicly funded, there is a strong moral argument for including the people who provide the data in decision-making and to develop governance systems for their continued participation.
conclusionsWe recommend that governance of science becomes more transparent, representative, and responsive to the voices of many constituencies by conducting public consultations about data-sharing addressing issues of access and use; including all data providers in decision-making about the use and sharing of data along the whole of the data stream; and using digital technologies to encourage accessibility, transparency, and accountability. We anticipate that this approach could enhance the legitimacy of the research process, generate insights that may otherwise be overlooked or ignored, and help to bring valuable perspectives into the decision-making around international data sharing.
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What OpenQuestion holds
Registered trials
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.