oai4courts layer two: approach and what you'll find here


oai4courts layer two is intended to be a "working" schema adequate to represent most caselaw metadata using OAI-PMH.  The approaches taken will also be useful to other caselaw-metadata efforts (for example, metadata that is embedded in case files themselves).  Its place in the overall plan for developing the oai4courts metadata standard is [[ wiki/lexcraft/approach_to_the_oai4courts_standard|documented here]].

oai4courts layer two overview: Writings

Court practice

Some courts publish decisions as a single document that contains all of the opinions (majority, concurrences, dissents) that comprise the decision.  Others issue the opinions in different writings. The challenge is to contrive a model that is equally useful in either situation.

oai4courts layer two overview: Dates

[[ NB: if you're looking for systems to use in marking up dates in judicial opinions, you might take a look at 

Dates are a surprisingly complicated topic, with many subtleties and variations.  That is because almost any milestone in the process of hearing the case and carrying out its resolution can have a date associated with it, as can any of the documents generated along the way.  Every case will have a date of decision.  Most appellate cases will have an argument or hearing date.  Beyond that the varieties are practically infinite:

oai4courts layer two element descriptions

This page is an index of overview documents that describe, non-technically, different classes of element found in Layer 2 of the oai4courts caselaw metadata standard.  They provide descriptions of the different logical entities described by the oai4courts Layer 2 elements, as well as pointers to each.

Note that these are intended for use in caselaw metadata (as opposed to caselaw markup), but some of the thinking involved applies to both.

Element classes

Overview descriptions exist for:

Sets and tags

Sets and tags

OAI-PMH supports a system for the creation of sub-collections that it calls "sets". oai4courts adds database support for a less-formal system of tags. Sets are named according to a hierarchical system that implies an equally hierarchical partitioning of the database. Tags may be applied in any way you like.


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