ArticlePLoS genetics2016
Consent Codes: Upholding Standard Data Use Conditions.
Article in PLoS genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Overcoming challenges associated with broad sharing of human genomic data.Nature genetics · 2025Review
- Opportunities and challenges of a dynamic consent-based application: personalized options for personal health data sharing and utilization.BMC medical ethics · 2024Article
- DS-PACK: Tool assembly for the end-to-end support of controlled access human data sharing.Scientific data · 2024Article
- 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
- Review
- Consent Codes: Maintaining Consent in an Ever-expanding Open Science Ecosystem.Neuroinformatics · 2023Article
- Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management.Biopreservation and biobanking · 2022Article
- Lessons learned and recommendations for data coordination in collaborative research: The CSER consortium experience.HGG advances · 2022Article
- The European Genome-phenome Archive in 2021.Nucleic acids research · 2022Article
- The C-BIG Repository: an Institution-Level Open Science Platform.Neuroinformatics · 2022Article
- Evaluating and Extending the Informed Consent Ontology for Representing Permissions from the Clinical Domain.Applied ontology · 2022Article
- Empirical validation of an automated approach to data use oversight.Cell genomics · 2021Article
- The Data Use Ontology to streamline responsible access to human biomedical datasets.Cell genomics · 2021Article
- A Blockchain-Based Dynamic Consent Architecture to Support Clinical Genomic Data Sharing (ConsentChain): Proof-of-Concept Study.JMIR medical informatics · 2021Article
- The European Bioinformatics Institute: empowering cooperation in response to a global health crisis.Nucleic acids research · 2021Article
- Expressing and Executing Informed Consent Permissions Using SWRL: The All of Us Use Case.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
- An agenda-setting paper on data sharing platforms: euCanSHare workshop.Open research Europe · 2021Article
- The Data Tags Suite (DATS) model for discovering data access and use requirements.GigaScience · 2020Article
- Learning Lessons on Reproducibility and Replicability in Large Scale Genome-Wide Association Studies.Harvard data science review · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
Abstract
A systematic way of recording data use conditions that are based on consent permissions as found in the datasets of the main public genome archives (NCBI dbGaP and EMBL-EBI/CRG EGA).
Indexed as
Identifiers
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.