Скачать презентацию Data Collection at IMF Standards and Technology to Скачать презентацию Data Collection at IMF Standards and Technology to

1d3a9aacfcda43d4bc02c9bcf33f13a9.ppt

  • Количество слайдов: 13

Data Collection at IMF Standards and Technology to Improve Timeliness and Reduce Reporting Burden Data Collection at IMF Standards and Technology to Improve Timeliness and Reduce Reporting Burden Gangti Zhu Andreas Hake El Bachir Boukherouaa Addis Ababa October 2017

Outline ØContext of data exchange ØData exchange Key Principals ØRole of transparency and data Outline ØContext of data exchange ØData exchange Key Principals ØRole of transparency and data availability ØThe current IMF data exchange infrastructure ØThe current challenges ØA way forward for more collaboration & Partnership ØTechnology trends ØConclusion

Context of data exchange ØLarge volumes of economic data ØDifferent frequencies ØVariety of Formats Context of data exchange ØLarge volumes of economic data ØDifferent frequencies ØVariety of Formats ØExcel templates ØOpen. Data ØAPIs ØConfidential data ØReporters are becoming more technologically advanced and make their data available for disseminations ØGlobal sources of data

Data Exchange key principals S Standards SDMX, DSD T Technology Machine-to-Machine, APIs E Engagement Data Exchange key principals S Standards SDMX, DSD T Technology Machine-to-Machine, APIs E Engagement Support, mutual interest, collaboration P Partnership Multilateral partnership, peer-to-peer O Outcome Reduce burden, better DM, aligned vision

Why SDMX Matters SDMX standards make it possible for efficient and automated data exchange Why SDMX Matters SDMX standards make it possible for efficient and automated data exchange ØSDMX provides standards relating to statistical data and metadata exchange Ø SDMX is model-driven through the SDMX Information Model ØImproved interoperability among the different implementations – thanks to “Guidelines for the Use Web Services” ØMachine readable - allow easy Integration into applications

Approach for leveraging Standards, Technology and Partnerships ØEmphasis is on data dissemination: Standard Platforms Approach for leveraging Standards, Technology and Partnerships ØEmphasis is on data dissemination: Standard Platforms and Formats • Standard data dissemination using an NSDP requiring either a cloudbased Open Data Platform or SDMX web service; • Disciplined publication of data required for surveillance including through observance of an advance release calendar (ARC). • SDMX data registry service IMF IFIs Data mapping to National Data Portal/NSDP using the ODP in SDMX Country data Public; across government agencies; policy makers Data available to the IMF (DSBB) and a wide array of users/partners 6

How we are advancing our systems at IMF ØAutomated collection leveraging SDMX • e. How we are advancing our systems at IMF ØAutomated collection leveraging SDMX • e. GDDS and ODP • SDMX on NSDP • Global DSD submission though file upload ØMachine to machine exchange • • IDC ECB Euro. Stat …. . ØBackend Data Processing, Validation, Transformation, Mapping and Integration ØExternal sources • RESTful WS, SOAP WS, RESTful Secure, SOAP Secure

Automated collection leveraging SDMX • ODP for e. GDDS • SDMX maintained by member Automated collection leveraging SDMX • ODP for e. GDDS • SDMX maintained by member countries CLIENT (Machine) SDMX REQUESTS (IMF) SDMX RESPONSE (IMF) SOAP Message SERVER (Machine) SOAP Message SDMX Web Service ENVELOPE SOAP Message SDMX Web Service

Design Principles S Scale Provide for Scale E Elastic Provide for Irregular patterns of Design Principles S Scale Provide for Scale E Elastic Provide for Irregular patterns of use R Reproducible Enable reproducibility of work D Data as a Service C Automate No manual intervention A Agile Provide for Quick deployment S Secure Provide for Secure environment G Governable Provide for data governance

Dissemination Standards Bulletin Board (DSBB) http: //dsbb. imf. org/ Dissemination Standards Bulletin Board (DSBB) http: //dsbb. imf. org/

IMF Current challenges ØCollect over 70 external datasets daily ØFrom 9 data providers i. IMF Current challenges ØCollect over 70 external datasets daily ØFrom 9 data providers i. e. , Euro. Stat, ECB, OECD, UN, ILO, WB, BIS, US Census Bureau, and Bloomberg ØNSDP underlying data links – 689 URL instances; ØThe web service data is hosted in heterogeneous platforms Ø Over 25 data consumer: 12 SDDS, 15 e. GDDS through ODP ØVariety of formats ØHigh data volume

A way forward for more collaboration & Partnership ØData Provider: ØMake the WS accessible A way forward for more collaboration & Partnership ØData Provider: ØMake the WS accessible and publicize the service ØAllow efficient connection and concurrent data extraction ØEngage with IMF Statistics Department ØKnowledge transfer ØData Consumer: ØAutomate the process ØEngage with IMF Statistics Department

Technology Trends Opportunities Technology Trends Opportunities