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Over the last several decades, there has been rapid growth in the number andscope of agricultural genetics, genomics and breeding (GGB) databases andresources. The AgBioData Consortium (https://www.agbiodata.org/) currentlyrepresents 44 databases and resources covering model or crop plant and animalGGB data, ontologies, pathways, genetic variation and breeding platforms(referred to as 'databases' throughout). One of the goals of the Consortium isto facilitate FAIR (Findable, Accessible, Interoperable, and Reusable) datamanagement and the integration of datasets which requires data sharing, alongwith structured vocabularies and/or ontologies. Two AgBioData working groups,focused on Data Sharing and Ontologies, conducted a survey to assess the statusand future needs of the members in those areas. A total of 33 researchersresponded to the survey, representing 37 databases. Results suggest that datasharing practices by AgBioData databases are in a healthy state, but it is notclear whether this is true for all metadata and data types across alldatabases; and that ontology use has not substantially changed since a similarsurvey was conducted in 2017. We recommend 1) providing training for databasepersonnel in specific data sharing techniques, as well as in ontology use; 2)further study on what metadata is shared, and how well it is shared amongdatabases; 3) promoting an understanding of data sharing and ontologies in thestakeholder community; 4) improving data sharing and ontologies for specificphenotypic data types and formats; and 5) lowering specific barriers to datasharing and ontology use, by identifying sustainability solutions, and theidentification, promotion, or development of data standards. Combined, theseimprovements are likely to help AgBioData databases increase developmentefforts towards improved ontology use, and data sharing via programmatic means.

Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the AgBioData Consortium