A repository for research with/on international statistic classification systems.
The goal of this work is to replace individual concordance matrices (Spreadsheets) as used in e.g. Industrial Ecology and MRIO-Analysis with
A) a much more expressive and fitting associative data model for linking codes from different statistical classification standards,
B) doing so in FAIR and collaborative manner to avoid repeating these tasks on an individual (and error-prone) level, and
C) engage researchers to comprehend, discuss and reproduce research involving the mapping of two (or more) codes from international statistic classification standards.
Issues are tracked on this repositories public mirror at github.com for world wide read/write access.
1.0.1, Upcoming
Improvements for using this plugin in a multi-user installation:
- Introduced a confidential
Classification Systemsworkspace - Moved all top-level topic types into the new Confidential workspace
- Adapted to be compatible with DMX 5.2 platform
- Renamed "Category" to "Classification Category" to not interfere with other namespaces
- Renamed all association types to not interere with indicator-sets plugin
1.0.0, Dec 17, 2019
- Introduces Application Model:
Topic Types: Classification, Classification System, Category
Assoc Types: Equivalence, Similar, Defines, Contains, Categorizes - Compatible with DMX 5.0-beta-6
Copyright (C) Malte Reißig, 2019-2021
This work is funded by the German Federal Ministry of Education and Research as part of its funding initiative “Social-Ecological Research“ and the Junior Research Group “ProMUT” (grant number: 01UU1705A).