View source for Item:OSW70b4d6464c1d44a887eb86e3b39b8751


== State of the art regarding data standards ==

* Documents
** Formats themselves are highly standardized (pdf, MS Office, OpenDocument family)
** Support for metadata, but implementation in the UI mostly limited to generic information
* Images
** Formats themselves are highly standardized (png, jpeg, tiff, etc.)
** Metadata beyond generic information only supported by special formats like tiff
* Tabular data
** CSV widely used, supported by almost all software systems
** Extensive degrees of freedom almost always require prior knowledge for correct interpretation
* Domain-specific data (chemistry, engineering, computer science, etc.)
** Depends strongly on the use case
* How can we generate arbitrary structured (meta)data in a well-defined format?
** e. g. for processes running in different labs around the world?

== The JSON Standard Family ==

* What can be expressed directly in JSON, what can be described indirectly? => [[Item:OSWf1df064239044b8fa3c968339fb93344]]
* How do references work in JSON?
* How can a JSON document be specified and validated? (json-schema) => [[Item:OSWf4a9514baed04859a4c6c374a7312f10]]
* How can the meaning of data be defined? (json-ld) => [[Item:OSW911488771ea449a6a34051f8213d7f2f]]

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== Application & Hands-on  ==

* ... using [https://github.com/OpenSemanticLab OpenSemanticLab] as example implementation => [[Item:OSWee501c0fa6a9407d99c058b5ff9d55b4]]
* UI generation (json-schema based editors & renderers)
* Knowledge Graph Generation
* Code Generation (python dataclasses) => [https://github.com/OpenSemanticLab/osw-python osw python package]