For large meta information of national integrated statistics
Abstract
Integrated statistics, synthesized from many survey statistics, form an important part of government statistics. Its typical example is the System of National Accounts. To develop such a system, it is necessary to make consistent preparation of 1) documents of methods, 2) programs, and 3) a database. However, it is usually not easy because of the large amount of data types connected with the system. In this paper, we formulate a language as a means to supporting the design of statistical data integration. This language is based on the data abstraction model and treats four types of semantic hierarchies; generalization, derivation, association (aggregation) and classification. We demonstrate that this language leads to natural documentation of statistical data integration, and meta information, used in both programs and a database for the integration, can be generated from the documents.
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- For large meta information of national integrated statistics
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Lawrence Berkeley Laboratory
Berkeley, United States
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Published: 02 December 1981
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