1. Global data structure definitions
Arturo de la Fuente
Eurostat

2. What is ? Standard for statistical data and metadata transmissions
Necessary for (transmissions feeding) global SEEA databases
SDMX is applicable to any statistical domain
But we need to create data structure definitions (DSDs) for SEEA data
International agencies are concerned, countries too?
The SDMX technical specifications and guidelines are publicly available. SDMX is not just a format for data exchange, it is also a set of guidelines, IT architecture and tools to improve statistical business processes

3. SDMX solutions for countries
Voluntary implementation(*)
Options
use a questionnaire, e.g. in Excel, with a converter which generates SDMX files for transmission. Converter supplied by the international agency
generate a csv file from the country production database using a specific tool
set up automatic machine-to-machine communication between country and international agency
The converter may be integrated behind-the-scenes embedded in the questionnaire or be a standalone application
(*) Mandatory in the EU

4. SEEA priority accounts for global databases
Air emission accounts
Material flow accounts
Energy flow accounts
Water flow accounts
Land cover and land use accounts

5. Technical group developing DSDs
OECD, Eurostat, FAO, UNSD, UNECE, UNEP
Blend of SEEA experts and IT experts
Meetings in June, July and September 2017
Tasks:
Identified SEEA flows for priority accounts
Creates data model, dimensions, attributes
Creates code lists
Concepts can be cross-domain (such as units, time) or domain-specific (such as air pollutants for air emission accounts). Concepts that identify the data correspond to dimensions in a data cube, whereas concepts that provide additional information on the data are attributes.
Once the concepts are identified, one code list must be drawn for each concept.

6. Global SEEA flows

7. Data model: the matrix

8. Code lists (selected) Greenhouse gases and air pollutants
Material flows
Energy flows
Water flows
Land cover
Land use
'Interactors' i.e. industries + households
Bridging items

9. Some data model principles (1/2)
Stocks vs flows
Re-using and extending national accounts code lists
Flows 'env economy' and 'economy env'
Production-based vs demand-based ('footprints')
flows (air emissions, materials, energy and water) and one is about stocks and changes in stocks (land accounts). It was decided to distinguish flows from stocks (including inflows, outflows, opening stocks, closing stocks, etc.), and supply from use with the same approach as in the DSDs for national accounts

10. Some data model principles (2/2)
Need for explicit codes for a few important MFA aggregates?
Not strictly needed for IT but needed for humans?

11. Next steps
Dec 2017: Approval to launch tests and public consultation ('review')
Early 2018: Actual launch tests and consultation
Mid 2018(?): Publication of v1.0 and ready to go

12. Questions for London Group
Check code lists in the document!
Discuss need for codes for MFA aggregates
Volunteer for consultation and tests

13. Thank you!