ArticleGenes & nutrition2018
ONS: an ontology for a standardized description of interventions and observational studies in nutrition.
Article in Genes & nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Multifaceted human gut microbiome data associated with health and nutrition.Frontiers in microbiology · 2026Review
- Ontology-based dietary recommendation system for Chinese children and adolescents: development and a pilot validation study.Frontiers in public health · 2026Article
- Improving data sharing in nutritional science: a symposium report of challenges, opportunities, and best practice recommendations.Journal of nutritional science · 2026Article
- Strengths and limitations of non-disclosive data analysis: a comparison of breast cancer survival classifiers using VisualSHIELD.Frontiers in genetics · 2024Article
- Semantics of Dairy Fermented Foods: A Microbiologist's Perspective.Foods (Basel, Switzerland) · 2022Article
- Applications of knowledge graphs for food science and industry.Patterns (New York, N.Y.) · 2022Review
- Food Recipe Ingredient Substitution Ontology Design Pattern.Sensors (Basel, Switzerland) · 2022Article
- Establishing a Common Nutritional Vocabulary - From Food Production to Diet.Frontiers in nutrition · 2022Article
- A Need for a Paradigm Shift in Healthy Nutrition Research.Frontiers in nutrition · 2022Article
- The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research.Database : the journal of biological databases and curation · 2021Review
- Intestinal microbiota alterations by dietary exposure to chemicals from food cooking and processing. Application of data science for risk prediction.Computational and structural biotechnology journal · 2021Review
- History and Future Perspectives on the Discipline of Quantitative Systems Pharmacology Modeling and Its Applications.Frontiers in physiology · 2021Review
- ELIXIR and Toxicology: a community in development.F1000Research · 2021Article
- An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.Nutrients · 2019Article
- FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration.NPJ science of food · 2018Article
Corrections and comments
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe multidisciplinary nature of nutrition research is one of its main strengths. At the same time, however, it presents a major obstacle to integrate data analysis, especially for the terminological and semantic interpretations that specific research fields or communities are used to. To date, a proper ontology to structure and formalize the concepts used for the description of nutritional studies is still lacking.
resultsWe have developed the Ontology for Nutritional Studies (ONS) by harmonizing selected pre-existing de facto ontologies with novel health and nutritional terminology classifications. The ONS is the result of a scholarly consensus of 51 research centers in nine European countries. The ontology classes and relations are commonly encountered while conducting, storing, harmonizing, integrating, describing, and searching nutritional studies. The ONS facilitates the description and specification of complex nutritional studies as demonstrated with two application scenarios.
conclusionsThe ONS is the first systematic effort to provide a solid and extensible formal ontology framework for nutritional studies. Integration of new information can be easily achieved by the addition of extra modules (i.e., nutrigenomics, metabolomics, nutrikinetics, and quality appraisal). The ONS provides a unified and standardized terminology for nutritional studies as a resource for nutrition researchers who might not necessarily be familiar with ontologies and standardization concepts.
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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.