united nations economic commission for europe statistical ... · wp1 – metadata dissemination •...

United Nations Economic Commission for Europe Statistical Division United Nations Economic Commission for Europe Statistical Division

UNECE: update

HLG/Modernstats Standards Working Group meeting

Luxembourg, 6-7 June 2016

UNECE Statistical Division

Taeke Gjaltema taeke.gjaltema@unece.org

Content

HLG-MOS/ModernStats

• Implementing ModernStats Standards

• Standards Workshop and MC Standards

• Other MCs and CSPA implementation

• HLG Data Integration project

Current Activities

Contact Information & Links

Questions and Answers

High-level Group for the

Modernisation of Official Statistics

HLG Main Achievements:

Generic Statistical Business Process Model

(GSBPM)

Generic Statistical Information Model

(GSIM)

Common Statistical Production Architecture

(CSPA)

Generic Activity Model for Statistical

Organizations (GAMSO)

Big Data: Sandbox, quality, partnerships

What now and next in HLG-MOS

HLG project Implementing ModernStats

Standards

• Linked statistical metadata

• Modernisation Maturity Model & Roadmap

Implementing Standards Workshop

Modernisation Committee on Standards

Other MCs and CSPA Implementation

Group

HLG Data Integration project

HLG project Implementing ModernStats

Standards

Linked Statistical Metadata, important:

• Have a globally unique identification and location for metadata

• Model metadata in relation to existing standards

• Enable linking metadata

• Ensure machine-actionability in order to activate metadata

Modernisation Roadmap:

• Roadmap for implementing standards (GSBPM / GSIM / GAMSO / CSPA) in the context of a modernisation maturity model

WP1 – metadata dissemination • Activity 1.1 Specify the content and its representation

• Activity 1.2 Create the linked metadata set

• Activity 1.3 Create a demo tool to query and visualize the metadata

• Activity 1.4 Showcase of usage of the system in statistical offices dissemination

WP2 – HLG models • Activity 2.1 Specify the system (use cases, data models

• Activity 2.2 Build the system (RDF database, implementation of selected use cases)

WP3 – Modernisation Roadmap • Activity 3.1 Agree on the scope and a set of dimensions along which

modernisation maturity will be measured and create a draft MMM

• Activity 3.2 Test and update the MMM

• Activity 3.3 Create a roadmap to guide organisations on how to implement the standards (GSBPM / GSIM / GAMSO / CSPA) in the context of the MMM

Implementing ModernStats Standards

Make statistical standards available

Unified representation of HLG standards

Key enablers of linked open data

Querying and integrating data from multiple

sources

Linking and comparing standards/

classifications

Integrate with Semantic Web (RDFs)

Linked Statistical Metadata

Content Specifications

9 use cases examples defined

Content specifications (metadata sets)

• Glossaries: SDMX, ISI

• Classifications: ESCO, NACE (incl. fr/it), CPA

• Standard code lists:

Available models: GSBPM, (links) GSIM,

EARF

Metadata ontologies: ADMS,PROV,

DCAT-AP,S|XKOS,

The level of maturity varies across organisations

(and within between domains)

We need to know how ready we are to adopt

new ideas and solutions

We need to understand the logical sequence of

modernisation activities

We can collaborate with those at a similar level,

and learn from those that are ahead of us

but how do we know who is at what level?

Modernization Maturity Model

Dimensions and Levels identified for

measuring modernisation maturity for a

standard

Levels:

Dimensions:

Initial Pre-

implementa

tion

Early impl. Corporate

impl.

Mature

impl.

Business

Methods

Information

Applications

Technology

Workshop on Implementing Standards for

Statistical Modernisation (21 - 23 September 2016, Geneva)

Share experiences in implementing the HLG standards: challenges faced, how overcome, lessons learned (with GSBPM, GAMSO, GSIM, CSPA)

Developing a roadmap for statistical modernisation and a Modernisation Maturity Model

Determine priorities for future work to support the implementation of these standards.

Click for more information or to register to the workshop

Activities MC-Standards

Roadmap for implementing standards

(HLG project)

Quality indicators GSBPM (survey based)

Further development of GSIM concepts /

variables

Reviewing GAMSO

Metadata glossary

Workshop on Implementing Standards for

Statistical Modernisation

Other MCs

MC Production and Methods: machine learning,

methodology architecture, data management,

statistical data editing, CSPA workshop

MC Products and Sources: communication,

linked statistical metadata, open data, data

integration, admin data, Data collection and

Dissemination and Communication Workshop

MC Organizational Framework and Evaluation:

risk and change management, competencies,

organisational barriers, testing Modernisation

Maturity Model

CSPA implementation group &

CSPA Workshop

CSPA Implementation group: assess

compliance, promotion, application

architecture patterns, CSPA LIM,

implementation assistance

Joint UNECE / Eurostat Workshop on

Implementing CSPA (22-24 June, Geneva)

HLG Data Integration project

Integrating survey, admin, big data, non official data

Common data sets to collaborate in sandbox

Methodology, Metadata & Quality frameworks

HLG standards like GSBPM and GSIM will be used and if necessary,

updated

Questions?

Contacts:

Taeke Gjaltema: taeke.gjaltema@unece.org

Steve Vale: steven.vale@unece.org

Appendix Links:

Joint UNECE / Eurostat Workshop on

Implementing CSPA Workshop

Workshop on Implementing Standards for

Statistical Modernisation

HLG-MOS/ModernStats

GSBPM, GSIM, GAMSO, CSPA

Virtual Standards Helpdesk

Contacts: taeke.gjaltema@unece.org,

steven.vale@unece.org

Implementing Modernstats Standards, Project

members:

WP1 & 2 WP3

Franck Cotton INSEE franck.cotton@insee.fr

Monica

Scannapieco Istat scannapi@istat.it

Dan Gillman BLS Gillman.Daniel@bls.gov

Guillaume

Duffes INSEE guillaume.duffes@insee.fr

Raffaella Maria

Aracri Istat aracri@istat.it

Laura Tosco Istat tosco@istat.it

Christine

Kormann Eurostat

Christine.Kormann@ec.europ

a.eu

Juan Munoz-

Lopez INEGI Juan.Munoz@inegi.org.mx

David

Barraclough OECD

David.BARRACLOUGH@oec

d.org

Arofan Gregory DDI Alliance arofan.gregory@earthlink.net

Marco

Pellegrino Eurostat

marco.pellegrino@ec.europa.

eu

Taeke Gjaltema

UNECE

(secretariat

support)

taeke.gjaltema@unece.org

Steven Vale

UNECE

(secretariat

support)

steven.vale@unece.org

Ms. Jenny LINNERUD (Statistics Norway jal@ssb.no

Mrs. Batia ATTALI Central Bureau of Statistics,

Israel batia@cbs.gov.il

Mr. Colin BOWLER Office for National Statistics,

UK colin.bowler@ons.gov.uk

Mr. Guillaume DUFFES,INSEE, France guillaume.duffes@insee.fr

Ms. Elaine LUCEY, CSO, Ireland elaine.lucey@cso.ie

Mrs. Essi KAUKONEN, Statistics Finland essi.kaukonen@stat.fi

Mr. Juan MUÑOZ LÓPEZ, National Institute of

Statistics and Geography of Mexico (INEGI)

Juan.Munoz@inegi.org.m

x

Mrs. Christina PIERRAKOU, Hellenic Statistical

Authority, Greece c.pierrakou@statistics.gr

Mr. Remi PRUAL, Statistics Estonia remi.prual@stat.ee

Mrs. Marina SIGNORE, Istat signore@istat.it

Ms. Ingvild Møller, Statistics Norway Ingvild.Moller@ssb.no

Fiona O Riordan. CSO Ireland fiona.oriordan@cso.ie