AgriSchemas and FAIR-ification of DFW
Data
Rothamsted Research, 11/11/2019
Marco Brandizi <marco.brandizi@rothamsted.ac.uk>
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Linked Data
APIs
APIs + standards
Guidelines
Tabular formats
Vocabularies ’n onto services
Specific
formats
What do we have in Agrifood?
The Knetminer Needs
• Green: Ondex plug-ins
• rdf2neo is a generic, non Ondex-specific
rdf->Neo4j conversion tool
• Brandizi et al, IB-2018
(https://dx.doi.org/10.1515%2Fjib-2018-0023)
• Brandizi et al, SWAT4LS-2018
(https://doi.org/10.6084/m9.figshare.7314323.v1)
The Knetminer SPARQL endpoint
A first prototype of Knetminer data
+ EBI’s GXA data, modelled after AgriSchemas
Try it live:
http://knetminer-data.cyverseuk.org/lodestar/sparql
More examples:
https://bit.ly/2X34rgF
What’s next?
• This hackathon:
• Review what’s done so fare with AgriSchemas
• Possibly think of new use cases
• eg, CerealsDB, AHDB, T3, GG3, DFW vocabularies, DFW datasets being
published
• eg, weather data (in particular, those linked to trials via MIAPPE)
• Start defining the AgriSchemas schema/ontology
• Possibly now or surely later:
• Convert real data sets
• Finalise the endpoint and convert to Neo4j
• Develop sample applications (eg, Python analyses, Jupyter analyses)
• Submit to some journal…
Editor's Notes
Details for the downloader, or the second part
Details for the downloader, or the second part
Details for the downloader, or the second part
Details for the downloader, or the second part
Data from different sources are merged together in the RDF coming from URI resolution
The LODEStar browser can show that, but also resolve the URI (via content negotiation)