NDLI: Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data

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Small-Scale Fisheries and Aquaculture Ontology (SSFO): Labeling fish science data

Content Provider	Consultative Group on International Agricultural Research (CGIAR)
Author	Arnaud, Elizabeth Laporte, Marie-Angélique Delamare-Deboutteville, Jerome Tilley, Alexander
Description	Heterogeneous and multidisciplinary data are generated by research on sustainable global agriculture and agri-food systems. This data is analysed and often integrated into predictive models for climate change or decision-making tools for fisheries management and aquaculture production. WorldFish (CGIAR) research aims to improve the sustainability, productivity and resilience of aquatic food systems. Harmonising the labelling of aquatic foods data with controlled vocabularies will enable easier data aggregation, interpretation, and analysis. The Fisheries and Aquaculture Ontology Working Group was formed in 2019 to compile, update and contribute fishery related terms to existing controlled vocabularies. The objective is to improve the WorldFish data interoperability into the various projects, databases and repositories by (a) addressing inconsistent use of fisheries and aquaculture related terms across the datasets, (b) highlighting the missing terms in the main semantic resources, and (c) connecting and collaborating with the CGIAR Community of Practice for Ontology.  An ontology is a standardised representation of the definitions and relationships of data from a specific discipline. Ontologies provide a common language for different kinds of data to be easily interpretable and interoperable allowing easier aggregation and analysis.
Sponsorship	CGIAR Trust Fund
Related Links	https://cgspace.cgiar.org/items/ebfb6c46-e5b8-486a-90f3-42e8e36238b7
File Format	XML
Language	English
Access Restriction	Open
Rights License	CC-BY-4.0
Subject Keyword	Fish Ontologies Access To Information Pescado Ontología Acceso a La Información-acceso a Datos Information Systems
Content Type	Text
Resource Type	Presentation
Subject	Agronomy and Crop Science Food Science Plant Science

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