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Eurostat
National Accounts business case
(validation, data cooperation) and
its SDMX implementation through
shared services
October, 2016 1SDMX Experts meeting, Mexico
Daniel SURANYI
Eurostat, Directorate C: “National Accounts, prices & key indicators”
Alvaro DIEZ SOTO
Eurostat, Unit B3: “IT solutions for statistical production”
Eurostat
National Accounts
Business Case
Daniel
SURANYI
2
Eurostat
Official statistics: the challenge…
3
More timely policies
Commercial providers
GDP T+30
Official reference
Cross-domain usage
Shrinking resources
€ 🙎
Eurostat
Stovepipe production: the reality…
4
SurveyB
Collect Process Analyse Disseminate
SurveyASurveyB
Eurostat
Stovepipe production: the reality…
5
• Customised for a specific domain
• Conventions used within domains / surveys
• Hampering cross-domain usage
• Leading to low level of transparency
• Not possible to share IT tools efficiently
• Difficult to share data across domains / organisations
Eurostat
Example: National Accounts
production in Eurostat
6
Business
process
Eurostat
Target: flexible use of statistical services
8
Eurostat
Target: flexible use of statistical services
11
• Customised for a specific domain
• Conventions used within domains / surveys
• Hampering cross-domain usage
• Leading to low level of transparency
• Not possible to share IT tools efficiently
• Difficult to share data across domains / organisations
Eurostat
Target: flexible use of statistical services
12
• Customised for a specific domain
• Conventions used within domains / surveys
• Hampering cross-domain usage
• Leading to low level of transparency
• Not possible to share IT tools efficiently
• Difficult to share data across domains / organisations
Eurostat
Target: flexible use of statistical services
13
• Architecture for cross-domain usage
• Standards used across domains / surveys
• Enabling cross-domain usage
• Leading to transparency
• Encouraged to share IT tools efficiently
• Facilitates sharing data across domains / organisations
Eurostat
The big picture: using standards
GSBPM
Process step
categories
GSIM
Reference
information
model
☑ Statistical
Production
CSPA
Service specification
SDMX
Data ModellingVTL
Validation
expressions
SDMX compliance
• Valid SDMX-ML file
• Coded according to the DSD
• Mandatory fields present
• Correct data types
• Dataflow definition
Basic logical checks
• Sender ID and REF_AREA
• Table ID is present
• Value "NaN" and OBS_STATUS
• EMBARGO_DATE and CONF_STATUS
• PRICES and REF_YEAR_PRICE
Basic content checks
• Missing or unexpected series
• Hole in series
• Zero values
• Negative values
General plausibility and
consistency (within file)
• Additivity of breakdowns
• Outliers
• Consistency between prices
• Unadjusted and adjusted series
Advanced plausability and
consistency (across files)
• Revisions
• Quarterly versus Annual
• Same series across tables
Cross-domain or source
checks
• Balance of Payments
• Trade statistics
• Labour market statistics
• Data pulished by NSI or IO
SDMX
Registry
Structural
Validation
Content
Validation
VTL
Repository
?
Eurostat
National Accounts
& IT Tools
Alvaro
DIEZ SOTO
16
Eurostat
Eurostat SDMX tools
October, 2016 17SDMX Experts meeting, Mexico
Where is SDMX?
Metadata design and build
Data compliance
Collection
Validation
Data loading and storage
Disseminate
DSW; SDMX Registry
SDMX Converter; SDMX-RI
EDAMIS; SDMX-RI;
Census/Data Hub; ESS-MH
STRUVAL; CONVAL
DLBB
DSWS; SDMX-RI; Census Hub
SDMX tools Input Used in
More information here
Eurostat
Our target - Interoperability Architecture
 Support and service improvements
 EU Public Licence and others
 Community and forum pages
 Shared/collaborative development
October, 2016 18SDMX Experts meeting, Mexico
 Security and availability
 Shared services, housing, hosting
 Auditing & Operations
 Modular & interoperable
 Reference architecture
 Strategy
Eurostat
Implementation: use of SDMX tools
19
SDMX Converter
SDMX-RI
Web & Test Client
EDAMIS
SDMX-RI
Web Services
Struval, Conval
Eurostat
National Accounts
Business Case &
IT Tools
Conclusions
20
Eurostat
Standardisation incl. SDMX deliver…
22
Shorter throughput
from producer to user
Transparent
• production process
• validation rules
Economy of
scale & scope
€ 🙌
Eurostat
THANK YOU!
ESTAT-SUPPORT-SDMX@ec.europa.eu
October, 2016 23SDMX Experts meeting, Mexico

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2016 SDMX Experts meeting, National Accounts business case (validation, data cooperation) and its SDMX implementation through shared services, Daniel Suranyi, Alvaro Diez Soto

  • 1. Eurostat National Accounts business case (validation, data cooperation) and its SDMX implementation through shared services October, 2016 1SDMX Experts meeting, Mexico Daniel SURANYI Eurostat, Directorate C: “National Accounts, prices & key indicators” Alvaro DIEZ SOTO Eurostat, Unit B3: “IT solutions for statistical production”
  • 3. Eurostat Official statistics: the challenge… 3 More timely policies Commercial providers GDP T+30 Official reference Cross-domain usage Shrinking resources € 🙎
  • 4. Eurostat Stovepipe production: the reality… 4 SurveyB Collect Process Analyse Disseminate SurveyASurveyB
  • 5. Eurostat Stovepipe production: the reality… 5 • Customised for a specific domain • Conventions used within domains / surveys • Hampering cross-domain usage • Leading to low level of transparency • Not possible to share IT tools efficiently • Difficult to share data across domains / organisations
  • 6. Eurostat Example: National Accounts production in Eurostat 6 Business process
  • 7. Eurostat Target: flexible use of statistical services 8
  • 8. Eurostat Target: flexible use of statistical services 11 • Customised for a specific domain • Conventions used within domains / surveys • Hampering cross-domain usage • Leading to low level of transparency • Not possible to share IT tools efficiently • Difficult to share data across domains / organisations
  • 9. Eurostat Target: flexible use of statistical services 12 • Customised for a specific domain • Conventions used within domains / surveys • Hampering cross-domain usage • Leading to low level of transparency • Not possible to share IT tools efficiently • Difficult to share data across domains / organisations
  • 10. Eurostat Target: flexible use of statistical services 13 • Architecture for cross-domain usage • Standards used across domains / surveys • Enabling cross-domain usage • Leading to transparency • Encouraged to share IT tools efficiently • Facilitates sharing data across domains / organisations
  • 11. Eurostat The big picture: using standards GSBPM Process step categories GSIM Reference information model ☑ Statistical Production CSPA Service specification SDMX Data ModellingVTL Validation expressions
  • 12. SDMX compliance • Valid SDMX-ML file • Coded according to the DSD • Mandatory fields present • Correct data types • Dataflow definition Basic logical checks • Sender ID and REF_AREA • Table ID is present • Value "NaN" and OBS_STATUS • EMBARGO_DATE and CONF_STATUS • PRICES and REF_YEAR_PRICE Basic content checks • Missing or unexpected series • Hole in series • Zero values • Negative values General plausibility and consistency (within file) • Additivity of breakdowns • Outliers • Consistency between prices • Unadjusted and adjusted series Advanced plausability and consistency (across files) • Revisions • Quarterly versus Annual • Same series across tables Cross-domain or source checks • Balance of Payments • Trade statistics • Labour market statistics • Data pulished by NSI or IO SDMX Registry Structural Validation Content Validation VTL Repository ?
  • 13. Eurostat National Accounts & IT Tools Alvaro DIEZ SOTO 16
  • 14. Eurostat Eurostat SDMX tools October, 2016 17SDMX Experts meeting, Mexico Where is SDMX? Metadata design and build Data compliance Collection Validation Data loading and storage Disseminate DSW; SDMX Registry SDMX Converter; SDMX-RI EDAMIS; SDMX-RI; Census/Data Hub; ESS-MH STRUVAL; CONVAL DLBB DSWS; SDMX-RI; Census Hub SDMX tools Input Used in More information here
  • 15. Eurostat Our target - Interoperability Architecture  Support and service improvements  EU Public Licence and others  Community and forum pages  Shared/collaborative development October, 2016 18SDMX Experts meeting, Mexico  Security and availability  Shared services, housing, hosting  Auditing & Operations  Modular & interoperable  Reference architecture  Strategy
  • 16. Eurostat Implementation: use of SDMX tools 19 SDMX Converter SDMX-RI Web & Test Client EDAMIS SDMX-RI Web Services Struval, Conval
  • 17. Eurostat National Accounts Business Case & IT Tools Conclusions 20
  • 18. Eurostat Standardisation incl. SDMX deliver… 22 Shorter throughput from producer to user Transparent • production process • validation rules Economy of scale & scope € 🙌

Notes de l'éditeur

  1. SDMX is used in different processes related to data reporting, dissemination and exchange. These processes are in compliance with the structure and phases defined under GSBPM model Data Structure Wizard - Data modeling, GUI SDMX Registry - Data modeling, Central repository, artefact exchange, WS SDMX Converter - Create/Convert SDMX data from files, GUI, API, CLI, WS SDMX RI - Create/Convert data from DB, artefact and data reporting, data dissemination, set of tools, GUI, API, WS DSWS - Disseminate data, uses SDMX RI WS ESS-MH - Reference Metadata reporting tool CENSUS/Data HUB - Single Dissemination point for MS Census 2011/2021 data. Data Hub – SDMX query generator and SDMX compliant web service client, for data retrieval, display and dispatching. Both are clinet implementations on the SDMX RI WS STRUVAL - Validate data, validation reports, WS and API Each tool creates an input for the next step, while the product is used also all along the chain/process, ensuring reusability, single maintenance and storage, centralised management and the same input all along the chain
  2. Follow the approach of building blocks; cross border framework; reusable solutions with low maintenance cost; enhancements easy to implement as plug-ins; similar to MS software and compatible with environment; follows common components and reference framework/architecture established in the standard.
  3. SDMX is used in different processes related to data reporting, dissemination and exchange. These processes are in compliance with the structure and phases defined under GSBPM model Data Structure Wizard - Data modeling, GUI SDMX Registry - Data modeling, Central repository, artefact exchange, WS SDMX Converter - Create/Convert SDMX data from files, GUI, API, CLI, WS SDMX RI - Create/Convert data from DB, artefact and data reporting, data dissemination, set of tools, GUI, API, WS DSWS - Disseminate data, uses SDMX RI WS ESS-MH - Reference Metadata reporting tool CENSUS/Data HUB - Single Dissemination point for MS Census 2011/2021 data. Data Hub – SDMX query generator and SDMX compliant web service client, for data retrieval, display and dispatching. Both are clinet implementations on the SDMX RI WS STRUVAL - Validate data, validation reports, WS and API Each tool creates an input for the next step, while the product is used also all along the chain/process, ensuring reusability, single maintenance and storage, centralised management and the same input all along the chain