This repo contains work-in-progress related to CDISC Analysis/Derivation Concepts.
The following files contain SAP extracts which are modelled using SDMX. The examples are taken from the CDSIC ADaM Examples document.
See the SDMX Information Model version 2.1 documentation for detailed reference of the model.
- Example 6 Multivariate Analysis of Variance (Mood)
The following checklist can be used to simplify the process of creating an SDMX model from source documentation (e.g. SAP and Shells).
This step defines the foundational elements that the data structure builds on (step 2)
- Identify Concepts - these are all "abstract units of knowledge". Each Conceptwill have a codelist or format associated with it - see next steps
- Identify Codelists. These can be enumerations defined in the source document, numeric ranges, references to external codelists, ontologies, etc.
- Identify data formats.
The data structure defines the 'cube' structure that allows the data to be navigated independently of the contents.
- Dimensions
- Measures
- Values
This is a web-based SDMX data explorer. It is part of a wider suite of open-source SDMX tools maintained by .Stat project.
TLDR; The app runs ok but doesnt have any data out the box! Maybe need full suite of tools?
Notes:
- Clone gitlab repo
- build following
yarn
commands described in README - Access using
http://localhost:7000/?tenant=oecd
(default tenant didnt work for me!)
According to the README "CubeViz is generating a faceted browsing widget that can be used to filter interactively observations to be visualized in charts."
There is an example application here with links to SDMX data in RDF format.
Notes:
- clone github repo
- THIS IS A VERY OLD PROJECT
- Roll back to node v8 using
nvm install 8
andnvm use 8
- Install with
npm install
- run with
npm start
- access demo at http://localhost:8080/
- PHUSE RDF Data Cube Structure, PhUSE CS Semantic Technology Working Group
- Article on mapping SDMX (xml) to RDF
- BioPortal comprehensive repository of biomedical ontologies
- w3c article on Use Cases and Lessons for the Data Cube Vocabulary