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Reproductions of this material, or any parts of it, should refer to the IMF Statistics Department as the source. IMF Statistics Department Louis Marc Ducharme.

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Presentation on theme: "Reproductions of this material, or any parts of it, should refer to the IMF Statistics Department as the source. IMF Statistics Department Louis Marc Ducharme."— Presentation transcript:

1 Reproductions of this material, or any parts of it, should refer to the IMF Statistics Department as the source. IMF Statistics Department Louis Marc Ducharme September 11, 2014 Improving Collaboration through Data Sharing - SDMX as an Enabler

2 IMF Statistics Department Agenda  Landscape  Approach  SDMX : A common language  Implementation & international experiences Data Structure Definitions for global use AfDB – Open Data Platform IAG International Data Cooperation Coordinated CPI collection  Conclusions 2

3 IMF Statistics Department The Landscape  Increasing reporting burden for countries due to increased inter-connectiveness  Several IOs collect similar data due to overlapping mandates  Reporting agencies and IOs are under pressure to increase efficiency 3

4 IMF Statistics Department 1. Approach  One data domain – one report form – let’s standardize  Let data sharing agreements between IOs become the rule, not the exception  Enablers: Common taxonomies Standard formats for electronic exchange Easier access to the technology 4

5 IMF Statistics Department 2. SDMX: A common language for data  A standard for describing data and for establishing the data sharing and exchange infrastructure  SDMX promotes standardization and cost reduction with A common data model: use for standardizing data exchange, could be used to standardize production process A standard for machine to machine communication: The How is part of SDMX standards; Let us focus on the What 5

6 IMF Statistics Department Benefits provided through SDMX  Lingua franca - a common language for working more efficiently  Standards for organizing data, with guidelines on how to shape the data  ISO standard for developing standard software  Comprehensive framework supporting the creation of automated tools that operate on the data, populate websites or exchange and visualize data  Mobile solutions could be built quickly based on standard SDMX web services to interact with a dissemination environment 6

7 IMF Statistics Department 3. Implementation and international experiences  Implementations: Rapid successes when focus on data and metadata exchange—adopting the SDMX model in production processes is more complex  Works well for Reporting (Push) and Sharing (pull) data  Availability of Tools is increasing – Barrier-to-entry is being lowered  Most important: the availability of reporting taxonomies (data structures and coding) commonly agreed and governed – An area where more work is needed 7

8 IMF Statistics Department SDMX DSDs for global use  SDMX Sponsors led the work on SDMX taxonomies for the revised statistical manuals for BoP/IIP (BPM6), SNA (2008 SNA) and GFS (GFSM 2014)  Objective of DSDs: Common codification of the data that could be used around the globe  Other Aspects of the work: Addressed governance of these codification Promote the developments of additional DSDs for global use 8

9 IMF Statistics Department SDMX in Practice: AfDB Open Data Platform 9 IMF AfDB Other… Data Available to partners and Int. Organizations Data mapping to International Standards in OpenData platform Country data Data Sharing Process using ODP Data mapped to international standards and loaded in the ODP Data consuming organizations collect (pull) from the ODP Common standards across organizations adopting the ODP

10 IMF Statistics Department AfDB Open Data Platform (contd.): Replacing Data Collection by Data Sharing 10 Separate ODPs available to the Central Bank, MoF, NSOs of 54 African Countries Joint IMF-AfDB TA missions implemented ODP in 14 countries Data available in common DSD for all Economic and Financial Data collected by IMF and AfDB Data Available to other IOs via ODP’s SDMX web service (pull)

11 IMF Statistics Department SDMX in Practice: IAG Approach to Data Sharing  IAG—Chaired by IMF—has established a TF to study and establish data exchange across participating IOs  Objectives: reduced reporting burden to member countries, faster access to data by IOs  Approach: single data submission by member countries based of standardized reporting templates Electronic exchange of validated data and metadata between participating IOs based on SDMX Pilots: SNA main aggregates and sectoral accounts  Status: Study of technical feasibility has been performed; technical issues identified are being addressed Production launch envisaged for early

12 IMF Statistics Department IMF/ILO/FAO: Common CPI collection  Objective: reduce reporting burden to member countries and explore synergies between IOs’ work  Evolved from bilateral discussions  Agreement: IMF will enhance its CPI data collection to include breakdowns previously collected by ILO and FAO ILO and FAO will stop their CPI data collections IMF will make CPI data and metadata available to ILO and FAO in electronic format (SDMX)  Status: IMF is amending its internal databases and reporting forms  Next Step: Inform countries about the agreement and start collection 12

13 IMF Statistics Department Common CPI collection - model 13 Country 1 NSO OECD Country 1 NSO Country 1 NSO Eurostat IMF ILOFAOUNSD…

14 IMF Statistics Department Conclusions  We should strengthen our efforts to improve the access to data by focusing on data sharing  SDMX provides the standards and common language to support a fully automated data exchange solution—the issue of the HOW has been addressed  IOs collaboration should focus on What Data are needed for fulfilling our respective mandates – identifying and eliminating overlaps in collection Who can most effectively Collect this data for sharing with others  The Statistics Community, whether producers or users, will be the bigger beneficiary of our future successes 14

15 IMF Statistics Department Thank You 15 René Piché +1 (202)


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