ArticleCell genomics2021
The Data Use Ontology to streamline responsible access to human biomedical datasets.
Article in Cell genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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
43 citing papers in PubMed.
- Review
- Individuals' preferences for future biological sample and genomic data sharing in the Australian Reproductive Genetic Carrier Screening Project.European journal of human genetics : EJHG · 2026Article
- Unleashing potential: assessing Africa's readiness for the data science revolution to impact health.Nature communications · 2026Review
- Translating multi-omics into healthcare: requisites for scalable and equitable implementation.Human genomics · 2026Review
- Semantic alignment of the German Human Genome-Phenome Archive metadata model in Europe's genomics field.Scientific data · 2026Article
- The next frontier in sepsis: connected ICU data for real-world clinical decision making.Intensive care medicine · 2026Review
- Conceptual Model for the Integration of Marketing Strategies and Biomedical Innovation in Patient-Centered Care: Mixed Methods Study.JMIR biomedical engineering · 2026Article
- Toward ethical provenance tracking: The GA4GH model data access agreement (DAA).Genetics in medicine : official journal of the American College of Medical Genetics · 2026Article
- Standardising Access to Sensitive Data with Machine-Actionable Access Conditions.International journal of population data science · 2026Article
- Rethinking scale in AI-driven genomic medicine - The role of small biobanks.Frontiers in genetics · 2026Article
- CMEO: a metadata-centric ontology for clinical studies exploration and harmonization assessment.BMC medical informatics and decision making · 2025Article
- Making genomic data FAIR through effective Data Portals.Scientific data · 2025Article
- Toward Responsible and Sustainable Data Sharing in Large-scale Cohort-based Genomic Research.Genomics, proteomics & bioinformatics · 2025Article
- A call to action to scale up research and clinical genomic data sharing.Nature reviews. Genetics · 2025Review
- Overcoming challenges associated with broad sharing of human genomic data.Nature genetics · 2025Review
- Common conditions of use elements. Atomic concepts for consistent and effective information governance.Scientific data · 2024Article
- Getting your DUCs in a row - standardising the representation of Digital Use Conditions.Scientific data · 2024Article
- A qualitative interview study to determine barriers and facilitators of implementing automated decision support tools for genomic data access.BMC medical ethics · 2024Article
- Achieving Procedural Parity in Managing Access to Genomic and Related Health Data: A Global Survey of Data Access Committee Members.Biopreservation and biobanking · 2024Article
- EURO-NMD registry: federated FAIR infrastructure, innovative technologies and concepts of a patient-centred registry for rare neuromuscular disorders.Orphanet journal of rare diseases · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
57 authors.
Funding
Abstract
Human biomedical datasets that are critical for research and clinical studies to benefit human health also often contain sensitive or potentially identifying information of individual participants. Thus, care must be taken when they are processed and made available to comply with ethical and regulatory frameworks and informed consent data conditions. To enable and streamline data access for these biomedical datasets, the Global Alliance for Genomics and Health (GA4GH) Data Use and Researcher Identities (DURI) work stream developed and approved the Data Use Ontology (DUO) standard. DUO is a hierarchical vocabulary of human and machine-readable data use terms that consistently and unambiguously represents a dataset's allowable data uses. DUO has been implemented by major international stakeholders such as the Broad and Sanger Institutes and is currently used in annotation of over 200,000 datasets worldwide. Using DUO in data management and access facilitates researchers' discovery and access of relevant datasets. DUO annotations increase the FAIRness of datasets and support data linkages using common data use profiles when integrating the data for secondary analyses. DUO is implemented in the Web Ontology Language (OWL) and, to increase community awareness and engagement, hosted in an open, centralized GitHub repository. DUO, together with the GA4GH Passport standard, offers a new, efficient, and streamlined data authorization and access framework that has enabled increased sharing of biomedical datasets worldwide.
Indexed as
Identifiers
What Socratic 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 Socratic graph.