Lalor, ThérèseVale, StevenGregory, Arofan2013-04-202013-04-202013-04-03Lalor, Thérèse, Steven Vale, Arofan Gregory. (2013). Generic Statistical Information Model (GSIM). Paper presented at the North American Data Documentation Initiative Conference (NADDI 2013), University of Kansas, Lawrence, Kansas, April 3, 2013. http://hdl.handle.net/1808/11045https://hdl.handle.net/1808/11045Presentation at the North American Data Documentation Conference (NADDI) 2013Across the world statistical organizations undertake similar activities. Each of these activities use and produce similar information (for example all agencies use classifications, create data sets and publish products). Although the information is at its core the same, organizations tend to describe this information slightly differently (and often in different ways within each organization). There is no common means to describe the information. GSIM is a conceptual model that provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. DDI is a key standard in both the development of GSIM itself, and as an implementation tool for organizations using GSIM. Beyond that, it also will influence the future directions of DDI development, attracting a larger number of data producers into the DDI community. This presentation introduces GSIM and looks at the interaction between GSIM and DDI (and other related standards), and provides an update on a rapidly-evolving vision around the use of DDI within the statistical institutes in Europe and elsewhere. It will cover both the direct interaction between DDI and GSIM, and also provide a broader context for understanding what that dynamic may mean in the future.en-USDDINADDIMetadataData documentationGSIMPresentationopenAccess