the challenges

22
Generic Statistical Information Model (GSIM) Thérèse Lalor United Nations Economic Commission for Europe (UNECE)

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Generic Statistical Information Model (GSIM) Thérèse Lalor United Nations Economic Commission for Europe ( UNECE ). The Challenges . Riding the big data wave. Increasing cost & difficulty of acquiring data. New competitors & changing expectations. Competition for skilled resources. - PowerPoint PPT Presentation

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Page 1: The Challenges

Generic Statistical Information Model (GSIM)

Thérèse Lalor United Nations Economic Commission for Europe (UNECE)

Page 2: The Challenges

The Challenges

Increasing cost & difficulty of

acquiring dataNew competitors

& changing expectations

Rapid changes in the environment

Competition for skilled resources

Reducing budget

Riding the big data wave

Page 3: The Challenges

These challenges are too big for statistical organisations to tackle on their own.

We need to work together

Page 4: The Challenges

Common Generic lndustrialised Statistics

GSBPM GSIM

Methods Technology

Business Concepts Information Concepts

Statistical HowTo Production HowTo

conc

eptu

alpr

actic

al

Common Generic lndustrialised Statistics

GSBPM GSIM

Methods Technology

Business Concepts Information Concepts

Statistical HowTo Production HowTo

conc

eptu

alpr

actic

al

Response from Official Statistics

Page 5: The Challenges

Response from Official Statistics

Page 6: The Challenges

The GSBPM

Page 7: The Challenges

Information objects

• Things that flow between GSBPM sub-processes

• Things that drive and integrate sub-processes

Page 8: The Challenges

GSIM is complementary to GSBPMAnother model is needed to describe

information objects and flows within the statistical business process

Page 9: The Challenges

So what is GSIM?

• A reference framework of information objects:– Definitions– Attributes– Relationships

• GSIM aligns with relevant standards such as DDI and SDMX

GSIM gives us standard terminology

Page 10: The Challenges

Business Production

ConceptsStructures

Page 11: The Challenges

How to use GSIM as a communication tool

• Improve communication • Simple, easy to understand views of

complex information• Build staff capability by using GSIM as a

teaching aid

Page 12: The Challenges

Busin

ess

Production

Concepts

Structures

Process Output

Process Step

Process Input

Rule

Process Method

Variable

Concept

ClassificationUnit

PopulationData Set Data Point

Data Structure

Data Resource Product

Dissemination Activity

Production Activity

Acquisition Activity

Statistical Program

Statistical Program Design

Page 13: The Challenges

GSIM is a conceptual model: It is a new way of thinking for statistical organizations

Page 14: The Challenges

GSIM documentation

Page 15: The Challenges

CONCEPTS

PRODUCTION BUSINESSSTRUCTURES

Statistical Need Business Case

PopulationConcept

Statistical ProgramDesignchanges

design of

Statistical Program

Statistical Activity

has

includes

Data Channel

has

DataResource

uses

Process Step

Data Set

uses

includes

UnitClassification Variable

Data Structure

specifies

Process output

Process Input

specifies

has

describes

identifies defines

measuresdefines

is associated with

comprises

describesspecifies

may include

may include

may initiate

comprises

• Acquisition Activity

• Production Activity

• Dissemination Activity

initiates

Page 16: The Challenges

class B - Statistical-Program

DisseminationActiv ityProductionActiv ity

StatisticalProgramCycle

- referencePeriod :Date

StatisticalProgramDesign

ChangeDefinition

StatisticalProgram

- purpose :char

StatisticalActivity

OrganizationUnit

- unitType :char

AcquisitionDesign DisseminationDesignProductionDesign

BusinessCase

AcquisitionActiv ity

DesignContext

ChannelDesignSpecification

ChannelActiv itySpecification

CollectionDescription

DataResource

1..*defines

0..*

cycleFor1

1..*

comprises

1..*

0..*

has +stakeholder

0..*

1..*

initiates

+designChange 0..*

0..*

basedOn

0..*

0..1has

0..*

specifies

1

0..1describedBy

0..*

1..*

defines

+child 0..*

hierarchy

+parent 1

initiates

0..*

+reponsibleUnit0..1

0..*has

1..*

creates

0..*

0..1

describedBy

0..*

class C - Process Design

ProcessInputSpecification

+ role+ type

ProcessControl

- Decision Point :int- Process Step Execution :int- Sequence Number :int- Start Event :int- status :int- End Event :int

ProcessStepDesign

ProcessOutputSpecification

+ role+ type

ProcessInput

- Data Provider :int- Location :int- Security Classification :int

Rule

- Algorhithm :int- Rule Type :int- Sequence Number :int- System Executable Indicator :int- Event Date :int

IdentifiableArtefact

- id :string

+control 1

specifies

+completedStep1

0..*

has

0..*

+nextStep 0..*

specifies

0..*

+staticInput

0..*

specifies

0..*

+inputSpecification

0..* specifies 0..*+outputSpecification

1..*

has

0..*

references

+object 0..1

class E - DimensionalDataSet

DimensionalDataSet

DimensionalDataPoint

DataSet

DataPoint

DimensionalDataStructurestructuredBy

+/dataPoint1..*

has

1

+dataPoint1..*

has

1

Page 17: The Challenges

Can I implement

GSIM?

Page 18: The Challenges

GSIM: The “sprint’ approach The HLG decided to accelerate the development of the GSIM using an Agile approach.

Sprints• Collaboration of multi-disciplinary

experts • A “time-boxed” period of work, and • A closely defined and agreed output

Page 19: The Challenges

GSIM: The “sprint’ approach

• Sprint 1 – Slovenia, February 2012• Sprint 2 – Republic of Korea, April 2012• Integration Workshop, Netherlands,

September 2012

Page 20: The Challenges

Developing GSIM

Page 21: The Challenges
Page 22: The Challenges

Get involved!Anyone is welcome to

contribute to this work.

There are lots of resources on the wiki for you to use:

http://www1.unece.org/stat/platform/pages/viewpage.action?pageId=59703371