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Generic Statistical Information Model (GSIM):

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Implementing GSIM


(Version 1.

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1, December

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2013)

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About this document
The document contains information to help users understand what a conceptual model is. It provides guides to help understand GSIM, explains how GSIM can be used as a communication tool and describes the steps to be taken to implement GSIM at a business and technical level. The document also includes information on how some early adopters of GSIM intend to use the model.


This document should be read in conjunction with either the GSIM Communication paper or the GSIM Specification.


This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/. If you re-use all or part of this work, please attribute it to the United Nations Economic Commission for Europe (UNECE), on behalf of the international statistical community.
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Table of Contents
Introduction
A conceptual model
Understanding GSIM
GSIM as a communication tool
Implementing GSIM at a business level
Implementing GSIM at a technical level

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GSIM and Statistics New Zealand
GSIM and the Australian Bureau of Statistics
GSIM and the International Monetary Fund Statistics Department

Annex A: Scenarios

Scenario 1: GSIM and metadata management
Scenario 2: GSIM and the acquisition of data
Scenario 3: GSIM and sample selection and estimation
Scenario 4: GSIM and dissemination of statistical information
Scenario 5: GSIM and quality
Annex B_ Template for Case Study

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DDI Profiles for Use with GSIM Implementations
What is a DDI Profile?
Common Statistical Production Architecture (CSPA)

National implementations

Norway: Remote Access Infrastructure for Register Data (RAIRD) RAIRD Information Model RIM v1_0 and RAIRD Information Model RIM Annexes v1_0