Abstract
Metadata (data about data) is integral to many processes in the Statistical Knowledge Network (SKN). Recently, efforts such as the SemanticWeb and others express the importance of metadata in supporting integration of information across multiple sources. Critical challenges in building the SKN are identifying what metadata is needed, and at what point in the cycle of production and use of statistical information it must be available, and establishing an architecture that supports metadata acquisition and use throughout the SKN. This article provides a research agenda in those areas, building on our currentwork in helping users to find the statistical information they need and understand what they find.
Users
Please
log in to take part in the discussion (add own reviews or comments).