This webinar, held on 26 September 2024, looked at the changing data landscape, and how it is and will continue to impact the development of standards in the world of official statistics. The advent of large language models and associated AI approaches, combined with the increasing demand for and use of a wider range of data for both research and policy purposes — the driver behind the FAIR data principles — alters the way standards are used to support data systems in official statistics. This webinar looked at these drivers for change, and the recent and upcoming developments around DDI, SDMX, and a range of other standards from WorldFAIR, W3C, and the UN/ECE Modernisation of Statistics community. Further, it suggested some further avenues of exploration and work.
- Introduction (Arofan Gregory, Chair, DDI-CDI Working Group)
- Trends in the Data Landscape (Mercè Crosas, Head of Computational Social Sciences, Barcelona Supercomputing Centre and President, CODATA).
- Standards and Approaches (Arofan Gregory, Chair, DDI-CDI Working Group).
- Interoperability with SDMX, DDI and other OS standards (Flavio Rizzolo, Senior Data Architect, Statistics Canada).
- Example: UN SDG Indicators Example: DDI-CDI from SDMX Services for Google Data Commons (Luis Gerardo Gonzalez Morales, Chief of the Data Innovation Section. UN Statistics Division).
The recording and slides are now available: https://codata.org/the-impact-of-fair-and-ai-on-standards-in-official-statistics-webinar-thursday-26-september/