ArticleEuropean journal of human genetics : EJHG2014
Data sharing in large research consortia: experiences and recommendations from ENGAGE.
Article in European journal of human genetics : EJHG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
What it found
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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
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
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- Data sharing ethics toolkit: The Human Cell Atlas.Nature communications · 2024Review
- Designing for data sharing: Considerations for advancing health equity in data management and dissemination.Translational behavioral medicine · 2024Article
- Australian public perspectives on genomic data governance: responsibility, regulation, and logistical considerations.European journal of human genetics : EJHG · 2024Article
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- Reproducibility of prediction models in health services research.BMC research notes · 2022Article
- Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores.Nature genetics · 2022Article
- Using imputation to provide harmonized longitudinal measures of cognition across AIBL and ADNI.Scientific reports · 2021Article
- Towards Machine-Readable (Meta) Data and the FAIR Value for Artificial Intelligence Exploration of COVID-19 and Cancer Research Data.Frontiers in big data · 2021Article
- Governance of research consortia: challenges of implementing Responsible Research and Innovation within Europe.Life sciences, society and policy · 2020Article
- Harmonizing behavioral outcomes across studies, raters, and countries: application to the genetic analysis of aggression in the ACTION Consortium.Journal of child psychology and psychiatry, and allied disciplines · 2020Article
- Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives.Briefings in bioinformatics · 2020Review
- Genetic Epidemiology in Latin America: Identifying Strong Genetic Proxies for Complex Disease Risk Factors.Genes · 2020Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Data sharing is essential for the conduct of cutting-edge research and is increasingly required by funders concerned with maximising the scientific yield from research data collections. International research consortia are encouraged to share data intra-consortia, inter-consortia and with the wider scientific community. Little is reported regarding the factors that hinder or facilitate data sharing in these different situations. This paper provides results from a survey conducted in the European Network for Genetic and Genomic Epidemiology (ENGAGE) that collected information from its participating institutions about their data-sharing experiences. The questionnaire queried about potential hurdles to data sharing, concerns about data sharing, lessons learned and recommendations for future collaborations. Overall, the survey results reveal that data sharing functioned well in ENGAGE and highlight areas that posed the most frequent hurdles for data sharing. Further challenges arise for international data sharing beyond the consortium. These challenges are described and steps to help address these are outlined.
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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.