Webinar: Statistical Agencies Using DDI Metadata Standards: Promoting Transparency and Reusability of Data

Home
/
Initiatives
/
Data Skills
/
CODATA-DDI Training Webinars
/
Webinar: Statistical Agencies Using...

The second event of the 2023 series of CODATA – DDI Alliance webinars took place on 14 April at 10:00-11:30 EDT / 14.00-15:30 UTC / 16:00-17:30 CEST.

Statistical agencies are seeing a much more federated and complex data ecosystem where data flows from one organization to another. Metadata standards are key to facilitate this movement, including through greater automation to collect, manage, produce, and disseminate data. Metadata standards simplify sharing, reduce development time, and promote transparency across agencies, especially by ensuring that similar things are described the same way.

In this webinar, we presented three practical implementations of how using DDI metadata standards has benefited large statistical agencies. In the first presentation, Flavio Rizzolo, Statistics Canada (stepping in for Chantal Vaillancourt, Statistics Canada) discussed Statistics Canada’s modernization towards a robust standards-enabled Enterprise Metadata Ecosystem, which is the foundation for organizational modernization through enabling metadata enabled automated business process, interoperability of data and metadata and transparency to Canadians. Next, Christophe Dzikowski, metadata expert, National Institute of Statistics and Economic Studies (INSEE), France, demonstrated how DDI metadata standards can be used in an active manner to drive surveys. Finally, Dan Gillman, Information Scientist, U.S. Bureau of Labor Statistics, will discuss how DDI standards can be applied to describe complex survey microdata and multi-dimensional time series.

Presenters:

Flavio Rizzolo (stepping in for Chantal Vaillancourt), Statistics Canada, Canada;
Christophe Dzikowski, National Institute of Statistics and Economic Studies (INSEE), France;
Dan Gillman, U.S. Bureau of Labor Statistics, USA.

Moderator: