Примеры использования Statistical information model на Английском языке и их переводы на Русский язык
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Generic Statistical Information Model.
The Conference expressed satisfaction withthe progress so far, including the development of a Generic Statistical Information Model(GSIM) and a paper on Big Data.
Generic Statistical Information Model GSIM.
Foster alignment with existing industry standards such as the Generic Statistical Business Process Model(GSBPM)and the Generic Statistical Information Model GSIM.
GSIM: Generic Statistical Information Model.
Topics to be considered during 2013 include the impact of the"open data" movement, andthe practical implementation of the Generic Statistical Information Model, which is due to be released at the end of 2012.
Excerpts from Generic Statistical Information Model Specification document.
Since its establishment, HLG-BAS has produced a number of major outputs, including: the HLG-BAS strategic vision(2011);the strategy to implement the HLG-BAS vision(2012); and the generic statistical information model(GSIM) 2012.
What is Generic Statistical Information Model?
The Generic Statistical Information Model(GSIM) is a reference framework for statistical information, designed to play an important part in modernising and streamlining official statistics at both national and international levels.
Furthermore, he drew the attention of the Conference to the Generic Statistical Information Model(GSIM) being developed as a key tool for integration within and between organizations.
The implementation of such an architecture can be made possible only by sharing common standards as represented by the Generic Statistical Business Process Model(GSBPM)and the Generic Statistical Information Model GSIM.
Generic Statistical Information Model(GSIM) Version 1.1 was released in 2013.
Develop a common approach and language for process standardisation based on the Generic Statistical Business Process Model(GSBPM)and the Generic Statistical Information Model(GSIM- under construction), together with common methodologies and tools.
Generic Statistical Information Model(GSIM): Communication paper for a general statistical audience.
This improvement will be done by harmonising knowledge, based on international standards such as the Generic Statistical Business Process Model(GSBPM)and the Generic Statistical Information Model(GSIM) and an alignment of methods and technology.
IV. Benefits of the Generic Statistical Information Model for the organization as a whole.
This improvement will be done by harmonising our knowledge based on international standards, such as the generic statistical business process model(GSBPM),the generic statistical information model(GSIM) and an alignment of our methods and technology.
Generic Statistical Information Model(GSIM) and Generic Statistical Business Process Model(GSBPM)- UNECE.
These and other purposes for which GSBPM can be used are elaborated further in Section VI. This version of GSBPM is fully aligned with version 1.1 of the Generic Statistical Information Model(GSIM) and provides a basis for the implementation of the Common Statistical Production Architecture CSPA.
The Generic Statistical Information Model(GSIM) is the first internationally endorsed reference framework for statistical information. .
The High-Level Group for the Modernisation of Statistical Production and Services(HLG)has identified the Generic Statistical Information Model(GSIM) as a key standard, in partnership with the Generic Statistical Business Process Model(GSBPM), to drive the modernization of official statistics.
GSIM- Generic Statistical Information Model: A reference framework of information objects, which enables generic descriptions of the definition, management and use of data and metadata throughout the statistical production process.
The new statistical process(the blue square) is to be seen as the area where the statistical production is compliant with four constraints. The Generic Statistical Business Process Model(GSBPM),the Generic Statistical Information Model(GSIM), standard methods and standard technology.
This language is based on the general statistical information model and allows statisticians to define transformation and validation rules for statistical data.
The new statistical process(the blue square) is to be seen as the area where the statistical production is compliant with four constraints. The Generic Statistical Business Process Model(GSBPM) andthe methods used for realisation and the Generic Statistical Information Model(GSIM) and the technology used to expedite.
Examples include facilitating the implementation of the Generic Statistical Information Model by statistical organisations, and on-going work to harmonise standards between the statistical and data archive communities.
ECE has been developing standards and models for improving the quality, timeliness and efficiency of the production of Millennium Development Goals and other indicators, including, for example, the Generic Statistical Business Process Model(GSBPM), the Generic Statistical Information Model(GSIM) and the Common Statistical Production Architecture.
The paper also discusses the interaction of the Generic Statistical Information Model and other frameworks and standards such as the Generic Statistical Business Process Model, the Data Documentation Initiative and the Statistical Data and Metadata Exchange standard.
It has led to the development of the Generic Statistical Business Process Model(GSBPM)and the Generic Statistical Information Model(GSIM), important tools for standardisation and benchmarking statistical production, which have rapidly become global standards, and have been adopted by the major partners of UNECE.