A place where data scientists can share their work that uses SDMX to source data, potentially also with other data sources.
Citation is encouraged.
Consider visiting sdmx.io for more resources!
- All public, via GitHub.
- Submissions should be short (circa 3-5 pages of PDF).
Please see CONTRIBUTING.md for guidance on how to submit your work.
All accepted work is also available on sdmx.io/sdmx4ds