ArticleNutrients2019
An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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.
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Who cites it
7 citing papers in PubMed.
- Enriching the FIDEO ontology with food-drug interactions from online knowledge sources.Journal of biomedical semantics · 2024Article
- A review of harmonization methods for studying dietary patterns.Smart health (Amsterdam, Netherlands) · 2022Article
- Food Recipe Ingredient Substitution Ontology Design Pattern.Sensors (Basel, Switzerland) · 2022Article
- A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation.Journal of medical Internet research · 2021Article
- 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
- Artificial Intelligence in Nutrients Science Research: A Review.Nutrients · 2021Review
- Perspective: Towards Automated Tracking of Content and Evidence Appraisal of Nutrition Research.Advances in nutrition (Bethesda, Md.) · 2020Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundThe use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research output. To enable the description of domain-specific output in nutritional epidemiology, we propose the Ontology for Nutritional Epidemiology (ONE) according to authoritative guidance for nutritional epidemiology.
methodsFirstly, a scoping review was conducted to identify existing ontology terms for reuse in ONE. Secondly, existing data standards and reporting guidelines for nutritional epidemiology were converted into an ontology. The terms used in the standards were summarized and listed separately in a taxonomic hierarchy. Thirdly, the ontologies of the nutritional epidemiologic standards, reporting guidelines, and the core concepts were gathered in ONE. Three case studies were included to illustrate potential applications: (i) annotation of existing manuscripts and data, (ii) ontology-based inference, and (iii) estimation of reporting completeness in a sample of nine manuscripts.
resultsOntologies for "food and nutrition" (
conclusionONE is a resource to automate data integration, searching, and browsing, and can be used to assess reporting completeness in nutritional epidemiology.
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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.