ArticlePatterns (New York, N.Y.)2020
The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems.
Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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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.
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Who cites it
22 citing papers in PubMed.
- Beyond high-throughput: leveraging plant phenotyping to improve understanding and prediction of plant growth through process-based models.The New phytologist · 2026Review
- FAIRness at all costs? Practical limitations in applying the FAIR principles to plant genetic resources data.Frontiers in plant science · 2026Article
- Post-composing ontology terms for efficient phenotyping in plant breeding.Database : the journal of biological databases and curation · 2025Article
- Article
- An Assessment Model for Agricultural Databases: The Arthropod Pesticide Resistance Database as a Case Study.Insects · 2024Article
- BreedingAIDB: A database integrating crop genome-to-phenotype paired data with machine learning tools applicable to breeding.Plant communications · 2024Article
- The AusTraits plant dictionary.Scientific data · 2024Article
- ClimMob: Software to support experimental citizen science in agriculture.Computers and electronics in agriculture · 2024Article
- AgTC and AgETL: open-source tools to enhance data collection and management for plant science research.Frontiers in plant science · 2024Article
- Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the Agbiodata Consortium.Database : the journal of biological databases and curation · 2023Article
- Prediction and curation of missing biomedical identifier mappings with Biomappings.Bioinformatics (Oxford, England) · 2023Article
- Ontologies for increasing the FAIRness of plant research data.Frontiers in plant science · 2023Review
- Review
- Sainfoin (Frontiers in plant science · 2023Article
- Unifying the identification of biomedical entities with the Bioregistry.Scientific data · 2022Article
- Breedbase: a digital ecosystem for modern plant breeding.G3 (Bethesda, Md.) · 2022Article
- Exploring the effects of land management change on productivity, carbon and nutrient balance: Application of an Ensemble Modelling Approach to the upper River Taw observatory, UK.The Science of the total environment · 2022Article
- Applications of knowledge graphs for food science and industry.Patterns (New York, N.Y.) · 2022Review
- Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language.International journal of environmental research and public health · 2021Article
- Challenges for FAIR-compliant description and comparison of crop phenotype data with standardized controlled vocabularies.Database : the journal of biological databases and curation · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors.
Funding
Abstract
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labeling or annotation in order to be interoperable. As recommended by the FAIR principles, data, labels, and metadata must use controlled vocabularies and ontologies that are popular in the knowledge domain and commonly used by the community. Despite the existence of robust ontologies in the Life Sciences, there is currently no comprehensive full set of ontologies recommended for data annotation across agricultural research disciplines. In this paper, we discuss the added value of the Ontologies Community of Practice (CoP) of the CGIAR Platform for Big Data in Agriculture for harnessing relevant expertise in ontology development and identifying innovative solutions that support quality data annotation. The Ontologies CoP stimulates knowledge sharing among stakeholders, such as researchers, data managers, domain experts, experts in ontology design, and platform development teams.
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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.