Release Notes

Version 0.3.0 (2022-09-27)

• Capability for compound scales has been added

• Compound UID format developed

• Many more registry entries needed for examples

• Spreadsheet tools provide a little help to build the registry

Version 0.2.0 (2022-07-08)

• The M-layer register has been populated with a variety of entries to support examples

• An API has been better established

• A unit test suite is included

• Continuous integration on github runs the unit tests and doctests

• Documentation has been extended and includes examples of use and details about the current API

• Building the Read The Docs documentation is automated on github

Version 0.1.0 (2022-04-11)

The M-Layer concept in JSON and Python code.

Roadmap

• In version 0.2.x, the intention is to build up the basic M-layer structure in a collection of JSON files representing central-register information about scales, aspects, conversions, and castings. The aim is to assemble sufficient information to support a few use-cases. There is no intention to be comprehensive.

  At the same time a Python API will be developed. This will support a suite of examples and client-side usability to be assessed.

• Later versions will look at:

  • M-layer manifests that record the digital identifiers used in a dataset. Manifests would be intended to accompany datasets.

  • Multiple M-layer registers. Supplementary registers could hold records not available in a central register. This will provide a mechanism for growing the M-layer.

  • Strategies for constructing M-layer registry records will be developed. Logical relationships between many sets of units can be exploited to generate records algorithmically, but automatically including references to external information is more complicated.

  • Strategies for testing and validating M-layer records will be developed.