The National Academies Press

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Pages 110-125

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From page 110... ... . Recommendation 5.1: The Interagency Council on Statistical Policy should develop and implement a multi-agency pilot project to ex plore and evaluate employing existing metadata standards and tools to accomplish data sharing, data access, and data reuse. Read the entire page →
From page 111... ... The principles in the Common Statistical Production Architecture9 standard describe a framework for reusable systems architecture. Here are some examples where metadata standards have enabled system sharing and reuse: • The freely available SDMX tools,10 developed and maintained by Eurostat to disseminate SDMX data, are implemented by many agencies worldwide, thus lowering the barriers of SDMX imple mentation within and across countries. Read the entire page →
From page 112... ... • A statistical systems catalog12 lists open-source systems mapped to the Generic Statistical Business Process Model (GSBPM) , enabling an architect to find a system to integrate or extend for the required statistical activity and purpose. Read the entire page →
From page 113... ... Future planned work includes expanding the description of processing, especially for internal use, and improving the user interface to facilitate use among the public. The idea for this project emerged as analysts' needs were assessed and a middle manager saw an opportunity. Read the entire page →
From page 114... ... To maximize the discoverability and usability of the data, the World Bank documents these datasets using the DDI Codebook and the Dublin Core metadata standards. A specialized software application for metadata editing facilitates this process, allowing fast documentation of the surveys, their data files, the variables they contain, and all related resources (questionnaires, manuals, reports, and others) Read the entire page →
From page 115... ... federal statistical system should have greater participation in the development of DDI standards, other standards, and metadata tools than they currently do. This is because of the concepts DDI Lifecycle uses to represent variables, the file/table linkage concepts that support record linkage, and the above-noted use for multiyear studies. Read the entire page →
From page 116... ... federal statistical agencies can achieve some uniformity and interoperability among their data and metadata systems in terms of both data stores and services. When left to their own devices, the agencies build systems in their own ways. Read the entire page →
From page 117... ... federal statistical system finds itself fighting in the effort to overcome the differences the individual approach has fostered. Participation in Standards Development Standards are specifications designed to solve the problems described above and, in general, to satisfy the business requirements of stakeholders (those organizations with a material interest in the outcome of the standards development process) Read the entire page →
From page 118... ... The U.S. federal statistical agencies have many requirements in common, and these requirements are mostly shared with other statistical offices around the world as well. Read the entire page →
From page 119... ... . Standards are built using precise language called provisions. Read the entire page →
From page 120... ... Generic Statistical Information Model and the DDI-Lifecycle standard, do specify the attributes necessary to record metadata about frequency. When a system has statements claiming conformance to some standards around its use, the receiver of data from that system already knows what to expect. Read the entire page →
From page 121... ... Figure 5-3 Conforming to standards -- efficiencies gained. Figure 5-3 Conforming to standards -- efficiencies gained. Read the entire page →
From page 122... ... These six are the Generic Statistical Business Process Model. Generic Statistical Information Model. Read the entire page →
From page 123... ... This generic conceptual framework is designed to support modernizing, streamlining, and aligning the work of statistical offices, such as the principal U.S. federal statistical agencies, and is one of the building blocks for modernizing official statistics. Read the entire page →
From page 124... ... Common Statistical Data Architecture The Common Statistical Data Architecture (CSDA) , developed under the UNECE, is a reference architecture and set of guidelines for managing statistics data and metadata throughout the statistical life cycle. Read the entire page →
From page 125... ... These principles, their rationale, and their implications are described in Appendix A Data Documentation Initiative The DDI, is a family of statistical metadata standards and other work products developed, maintained, and supported under a consortium called the DDI Alliance. Read the entire page →

From page 110...

... . Recommendation 5.1: The Interagency Council on Statistical Policy should develop and implement a multi-agency pilot project to ex plore and evaluate employing existing metadata standards and tools to accomplish data sharing, data access, and data reuse.