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

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. This webinar included three practical implementations of how using DDI metadata standards has benefited large statistical agencies. In the first presentation, Flavio Rizzolo (on behalf of Chantal Vaillancourt) 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 discussed how the DDI can be used in an active manner to drive surveys. Finally, Dan Gillman discussed how DDI can be applied to describe complex survey microdata and multi-dimensional time series. Jared Lyle introduced and moderated the Webinar