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Transcript of Reproductions of this material, or any parts of it, should refer to the IMF Statistics Department as...
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
IMF Statistics Department
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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
IMF Statistics Department
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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
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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
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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
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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
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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
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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
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SDMX in Practice:AfDB Open Data Platform
IMF
AfDB
Other…
Data Available to partners and Int. Organizations
Data mapping to International Standardsin 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
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AfDB Open Data Platform (contd.): Replacing Data Collection by Data Sharing• 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)
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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 2015
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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
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Common CPI collection - model
Country 1Country
1Country 1NSO
OECD
Country 1Country
1Country 1NSO
Country 1Country
1Country 1NSO
Eurostat
IMF
ILO FAO UNSD …
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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