ReviewOne health outlook2020
Optimizing open data to support one health: best practices to ensure interoperability of genomic data from bacterial pathogens.
Review in One health outlook, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis 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
67 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identifying the most important facilitators of open research data sharing and reuse in Epidemiology: A mixed-methods study.PloS one · 2024Pooled it
- Antibiotic-Specific Genotype-Phenotype Concordance and Cross-Database Interoperability in PublicInternational journal of molecular sciences · 2026Article
- From Reactive to Predictive One Health: AI-Enabled Frameworks for Integrated Zoonotic Surveillance and Governance.International journal of environmental research and public health · 2026Article
- Overcoming Barriers to One Health Surveillance Implementation.Health security · 2026Article
- Connecting biospecimens and data: a scoping review-informed conceptual framework for digital infrastructure in biobanking and genomic research in low- and middle-income countries.Frontiers in public health · 2026Article
- Impact of sequencing read quality on whole-genome sequencing outcomes for foodborne pathogens using a BacWORK standardized analysis workflow.Bioinformatics advances · 2026Article
- Comprehensive review of One Health systems for emerging infectious disease detection and management.One health (Amsterdam, Netherlands) · 2025Review
- Analysis of the microbiota of raw commercial feline diets to prioritize food safety investigations.Communications biology · 2025Article
- Integrating environmental and health data: insights and lessons from Australia's water monitoring systems.Journal of water and health · 2025Review
- Bacterial Antimicrobial Resistance in Meat Products-Current Concepts.Foods (Basel, Switzerland) · 2025Review
- Population and pan-genomic analyses ofApplied and environmental microbiology · 2025Article
- Genomics for antimicrobial resistance-progress and future directions.Antimicrobial agents and chemotherapy · 2025Review
- Compatibility of whole-genome sequencing data from Illumina and Ion Torrent technologies in genome comparison analysis ofMicrobial genomics · 2025Article
- Developing a one health data integration framework focused on real-time pathogen surveillance and applied genomic epidemiology.One health outlook · 2025Article
- A Comprehensive Guide to Quality Assessment and Data Submission for Genomic Surveillance of Enteric Pathogens.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Unraveling the impact of genome assembly on bacterial typing: a one health perspective.BMC genomics · 2024Article
- The PHA4GE Microbial Data-Sharing Accord: establishing baseline consensus microbial data-sharing norms to facilitate cross-sectoral collaboration.BMJ global health · 2024Article
- Genomics and Bioinformatics in One Health: Transdisciplinary Approaches for Health Promotion and Disease Prevention.International journal of environmental research and public health · 2024Article
- Article
- Evolutionary genomic analyses of canineApplied and environmental microbiology · 2024Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The holistic approach of One Health, which sees human, animal, plant, and environmental health as a unit, rather than discrete parts, requires not only interdisciplinary cooperation, but standardized methods for communicating and archiving data, enabling participants to easily share what they have learned and allow others to build upon their findings. Ongoing work by NCBI and the GenomeTrakr project illustrates how open data platforms can help meet the needs of federal and state regulators, public health laboratories, departments of agriculture, and universities. Here we describe how microbial pathogen surveillance can be transformed by having an open access database along with Best Practices for contributors to follow. First, we describe the open pathogen surveillance framework, hosted on the NCBI platform. We cover the current community standards for WGS quality, provide an SOP for assessing your own sequence quality and recommend QC thresholds for all submitters to follow. We then provide an overview of NCBI data submission along with step by step details. And finally, we provide curation guidance and an SOP for keeping your public data current within the database. These Best Practices can be models for other open data projects, thereby advancing the One Health goals of Findable, Accessible, Interoperable and Re-usable (FAIR) data.
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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.