1. The Generic Statistical Information Model
Steven Vale
UNECE

2. What is GSIM? A reference framework of information objects
It sets out definitions, attributes and relationships of information objects
It aligns with relevant standards such as DDI and SDMX
Version 1.0 December 2012
Version 1.1 December 2013
not directly tied to them, nor other concrete implementation details
Provides common semantics that can be used unambiguously across and between different implementations

3. GSIM:
Provides common terminology across and between statistical organisations
Allows statistical organisations and standards bodies (e.g. SDMX and DDI) to understand and map common statistical information and processes
While GSIM is a conceptual model, it can be implemented to different levels.
As a reference framework, GSIM Provides over-arching guidance to the development and use of statistical implementation and technology standards. GSIM is not directly tied to any particular implementation standard or technology solution.
Where GSBPM defines the statistical production process and sub-processes; GSIM defines the information associated with the statistical production process, including the flows of information, the business rules and process-related quality metrics. GSIM can however be implemented as a standalone framework or integrated with local business process models.

4. It is a new way of thinking for statistical organizations4
A conceptual model -explicitly chosen to be independent of design or implementation concerns,
It is a communication tool to improve cooperation and excahnge of ideas
The aim of a conceptual model is to express the meaning of terms and concepts used by domain experts to discuss the problem, and to find the correct relationships between different concepts.
The conceptual model attempts to clarify the meaning of various, usually ambiguous terms, and ensure that problems with different interpretations of the terms and concepts cannot occur.
It is a new way of thinking for statistical organizations

5. Purposes of GSIM Improve communication Enable greater automation
Provide a basis for flexibility and innovation
Improve efficiency
Generate economies of scale

7. BUSINESS group capture the designs and plans of statistical programmes, and the processes that deliver those programmes
EXCHANGE group describes information flowing in and out of statistical organisations, e.g. objects that describe the collection and dissemination of information
CONCEPTS group is used to define the meaning of information to provide understanding of what the data are measuring
STRUCTURES group is used to structure information throughout the statistical process, so that it can be uniquely and unambiguously identified

10. Clickable GSIM 10

11. Clickable GSIM 11

12. GSIM and GSBPM
GSIM describes the information objects and flows within the statistical business process.

13. To get the maximum benefits from standards-based modernisation, implement GSIM together with GSPBM
While GSIM is a conceptual model, it can be implemented to different levels.
As a reference framework, GSIM Provides over-arching guidance to the development and use of statistical implementation and technology standards. GSIM is not directly tied to any particular implementation standard or technology solution.
Where GSBPM defines the statistical production process and sub-processes; GSIM defines the information associated with the statistical production process, including the flows of information, the business rules and process-related quality metrics. GSIM can however be implemented as a standalone framework or integrated with local business process models.

14. Mapping GSIM to DDI and SDMX
Detailed mapping between GSIM and the information models of DDI and SDMX.
Evaluate coherence
Resolve unnecessary differences

15. GSIM SDMX DDI Other relevant standards 1515 Conceptual model
GSIM is an umbrella
It is a conceptual model, not an implementation model.
It doesn’t compete with DDI and SDMX but provides a generic additional layer.
As a reference framework, GSIM Provides over-arching guidance to the development and use of statistical implementation and technology standards. GSIM is not directly tied to any particular implementation standard or technology solution.
GSIM
Conceptual model
SDMX
DDI
Implementation
standards
Other relevant standards

16. Version 1.1 Simplified - 150 110 information objects
Incorporates revised Neuchâtel Model of classification terminology
Better aligned with other standards, particularly DDI

17. Layers of documentation
Brochures
Top managers
Communication Layer
Conference-type paper for information specialists
Specification Layer
Detailed technical information for implementers

18. More information GSIM Wiki www1.unece.org/stat/platform/display/GSIM18