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Global Implementation of SDMX in National Accounts. Committee for the Coordination of Statistical Activities 22 nd Session 4-6 September Ankara, Turkey. SDMX – opportunities . Streamline data flows Central management (SDMX Registries). Across organisations Across domains .
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Global Implementation of SDMX in National Accounts Committee for the Coordination of Statistical Activities 22nd Session 4-6 September Ankara, Turkey
SDMX – opportunities • Streamline data flows • Central management (SDMX Registries) • Across organisations • Across domains • Data structures, concepts, code lists • Software tools • Data sharing
SDMX statistical standards used across statistical domains • National Accounts • SNA 2008 • ESA 2010 • Other NA relateddomains Cross Domain Conceptsand Code Lists SharedConceptsand Code Lists • Balance ofPayments • Statistics • FDI statistics • Other domains
Project Governance • Project mandatedby all SDMX sponsors • BIS, ECB, Eurostat, IMF, OECD, UN, World Bank • … runby ECB, Eurostat, OECD • Steering Group & Technical Group • Project coordinationensuredby Eurostat • Close cooperationwithdataproviders (pilotreviews) • World-wideoutreachandcommunication
Technical Integration • Source • SDMX Data Structure Defintions & Data Flows • National databases • (Mapping) • Source • Source • National data sources • National Central Banks/NSIs • International Metadata driven process based on SDMX standards and tools Full automation of the data exchange possible
The main lessons learned • A clear governance structure is essential; • Close cooperation of business and IT side needed; • Early involvement of all stakeholders (national and international); • Content pilot followed by technical pilot actions; • Discussions: 80% content / 20% technical • Strong push from National Accounts & Balance of Payments statistics created the momentum;
Conclusion SDMX statistical and technical standards together with SDMX IT tools and IT infrastructure provide the "toolkit" for • the harmonisation and integration of data structures, • the rationalisation of national/international data flows, • finally improving the data quality of official statistics.