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Allow meta-data #23

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tclose opened this issue Aug 25, 2014 · 10 comments
Closed

Allow meta-data #23

tclose opened this issue Aug 25, 2014 · 10 comments
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@tclose
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tclose commented Aug 25, 2014

Allow the definition of meta-data explaining the origins of various components/values of the model

@tclose tclose changed the title Add meta-data to specification Add meta-data Aug 25, 2014
@tclose tclose changed the title Add meta-data Allow meta-data Aug 25, 2014
@apdavison
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I vote for using RDF. We could make recommendations for which ontologies to use (e.g. Dublin core + the computational neuroscience ontology) but I think any RDF-formatted metadata should be valid.

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tclose commented Sep 4, 2014

I don't have a strong preference with the exception that it is not too complex

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tclose commented Oct 15, 2014

NineML standards meeting:

It was decided that for version 1 any NineML element can contain an <Annotation> sub-element. Any valid xml can be put in the annotation element, however it is recommended to use a standard annotation markup language such as RDF.

@tclose tclose self-assigned this Oct 15, 2014
@apdavison
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NineML standards meeting:

It was further decided that to be labelled as "NineML compliant", any tool handling NineML descriptions must preserve all existing annotations, except where a user explicitly edits/deletes them. This needs to go in the spec.

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tclose commented Oct 22, 2014

I was just thinking whether should we make it mandatory to use RDF? It would probably greatly improve its value if all NineML files were using the same system for annotations wouldn't it?

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ajc158 commented Oct 23, 2014

I'm happy to use RDF as a requirement - we just need to run through some use cases and check that RDF is going to be a sensible and intuitive way to apply them. For simple descriptions it clearly works, we just need to think out things like extension data to check it is the best option.

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tclose commented Oct 24, 2014

That sounds good, although we probably don't need to use it for everything, only the things it makes sense for.

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tclose commented Nov 11, 2014

What do we need to do in order to support this issue for version 1.0?

@apdavison
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I think we just need to make sure that the Python library preserves annotations when reading then re-writing a model.

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tclose commented Nov 17, 2014

PR #60 should implement this for the Python library.

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