[cdif-community] Planning CDIF use for plant phenotyping data
Donald Hobern
donald.hobern at adelaide.edu.au
Fri Oct 24 01:52:10 EDT 2025
I'm going to follow up here with some more details, which may or may not clarify my issues. Here is the pattern we've been planning to use:
1.
Assume one of the APPN nodes has a variable it standardly uses in the Study datasets it publishes, something like dry biomass as a miappe:Trait measured in g/m2 as a miappe:Scale.
2.
The node publishes a miappe:ObservedVariable on a resolvable IRI that provides the definition, including properties documenting the Trait and Scale - we're developing a pipeline so each node can manage and extend such a list over time.
3.
Each RO-Crate dataset reuses the ObservedVariable instance to document the corresponding column of dry biomass values in the tabular data.
4.
The RO-Crate metadata also identifies that these values were produced by a sosa:Observation which references the associated miappe:Method (== sosa:Procedure).
I'd like to understand how much we would need to modify this to benefit from DDI-CDI. I get the impression at very least that the ObservedVariable instance in 2 would need to be a cdi:RepresentedVariable but that the one in 3 would be a cdi:InstanceVariable, and I feel that means they should have different IRIs - otherwise the combined graph would end up defeating the point of having InstanceVariable at all.
Aside from that aspect, and assuming the Trait and Scale are modeled appropriately and the properties linking them to my ObservedVariable are subproperties of CDI ones, would there be more I need to do to benefit from DDI-CDI for cross-dataset and cross-domain variable interoperability?
Thanks so much.
Donald
Donald Hobern
Data Management Director, Australian Plant Phenomics Network
University of Adelaide - working from Canberra, ACT
P (04) 20511471 | plantphenomics.org.au<http://www.plantphenomics.org.au/> | subscribe to our news<https://www.plantphenomics.org.au/news/#news-from-our-blog>
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