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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 [email protected]
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
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: [email protected],
Implementing Modernstats Standards, Project
members:
WP1 & 2 WP3
Franck Cotton INSEE [email protected]
Monica
Scannapieco Istat [email protected]
Dan Gillman BLS [email protected]
Guillaume
Duffes INSEE [email protected]
Raffaella Maria
Aracri Istat [email protected]
Laura Tosco Istat [email protected]
Christine
Kormann Eurostat
a.eu
Juan Munoz-
Lopez INEGI [email protected]
David
Barraclough OECD
David.BARRACLOUGH@oec
d.org
Arofan Gregory DDI Alliance [email protected]
Marco
Pellegrino Eurostat
eu
Taeke Gjaltema
UNECE
(secretariat
support)
Steven Vale
UNECE
(secretariat
support)
Ms. Jenny LINNERUD (Statistics Norway [email protected]
Mrs. Batia ATTALI Central Bureau of Statistics,
Israel [email protected]
Mr. Colin BOWLER Office for National Statistics,
Mr. Guillaume DUFFES,INSEE, France [email protected]
Ms. Elaine LUCEY, CSO, Ireland [email protected]
Mrs. Essi KAUKONEN, Statistics Finland [email protected]
Mr. Juan MUÑOZ LÓPEZ, National Institute of
Statistics and Geography of Mexico (INEGI)
x
Mrs. Christina PIERRAKOU, Hellenic Statistical
Authority, Greece [email protected]
Mr. Remi PRUAL, Statistics Estonia [email protected]
Mrs. Marina SIGNORE, Istat [email protected]
Ms. Ingvild Møller, Statistics Norway [email protected]
Fiona O Riordan. CSO Ireland [email protected]