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B A C K G R O U N D B R I E F I N G
A N D
N E X T S T E P S
METIS
Geneva, February 2004
Statistical Data and Metadata Exchange Initiative
2
Challenges and Opportunities
What is SDMX?
Progress
Next steps
Overview
3
Exchange of statistical data is still complex, resource intensive, and expensive
Various international organisations have individual approaches for their constituencies
Uncertainties about how to proceed with new technologies (XML, web services …)
Challenges
4
International OrganisationsRegional Organisations
accountsstatistics
Banks, CorporatesIndividual Households
trans-actions
accounts
National Statistical Organisations
accountsstatistics
180
+ C
ount
ries
180
+ C
ount
ries
Inte
rnet
, S
earc
h, N
avig
atio
nIn
tern
et,
Sea
rch,
Nav
igat
ionwww.z.org
www.hub.org
www.x.org
www.y.org
Statistical information building blocks
5
Constituencies of international organisations have asked for common solutions
International organisations are in a position to expand their cooperation
IT technology seems to offer some ways forward that we should not ignore
Opportunities
6
Initiative of BIS, ECB, EUROSTAT, IMF, OECD, World Bank and UN
“ ... to focus on business practices in the field of statistical information that would allow more efficient processes for exchange and sharing of data and metadata within the current scope of our collective activities”
Global workshop at IMF, reports to UN Statistical Commission, liaison with international standards community and private sector initiatives
www.sdmx.org
What is SDMX? (1)
7
8
9
10
Projects (shared funding and resources) launched in June 2002
batch data exchange
metadata common vocabulary
metadata repositories
a practical case study on emerging e-standards
What is SDMX? (2)
11
Overall goal: reality check on emerging standards by building prototype.
Closely coordinated work with other projects – exploring ways to validate practical impact of project deliverables.
Builds on experimentation taking place in different SDMX institutions.
Support from other institutions and central banks.
Case Study
12
Case Study: general approach
Selected the BIS-IMF-OECD-World Bank hub on external debt for the demo example
Reviewed available and emerging standards
Established experimental XML standards based on existing statistical exchange standards (i.e. GESMES/TS metadata “key family” concepts)
Built a metadata registry and populated it with links to where the data can be found
Built web services (registration, search, transformation, comparison)
13
Case Study: key findings
Technology could be made to work better for statistical data exchange
Common information model underlies all statistical data
Common standards cut across different patterns of data exchange: bilateral, gateway, data sharing
Potential of (new) web technology is significant
XML is widely supported by software vendors, making it easier to use off-the-shelf tools to develop applications
registry-based architecture for metadata can facilitate navigation (i.e. data google)
use of web services enables automated data exchange
Possible to build on existing infrastructures, technologies and standards
14
Example of information model: metadata “key family”
CountryStock/Flow
Unit Multiplier
Unit
Topic
Time/Frequency
15
Simple tool for creating a key family (Demo)
16
Spreadsheet input to XML output (Demo)
17
Patterns of Data Exchange
Bilateral individual provider-to-consumer links could be batch or web dissemination
variety of format standards
Gateway many bilateral-to-central authority then
on to others (bilaterally) still many bilateral formats typical in data bank exercises
Data sharing statistical hubs through common
standards and formats data/metadata useable without prior
agreement dissemination could replace reporting
18
GESMES/TS Reporting & Registry-Based Dissemination (1)
Database EDIGateway
EDIGateway
Database
GESMES/TSData
(1) Today, the sender renders the data out of the database as GESMES/TS EDIFACT, and sends it to a counter-party accordingto prior agreement. When received by the counter-party, it goes through a gateway and is passed into their internal systems.
19
GESMES/TS Reporting & Registry-Based Dissemination (2)
Database
EDI & SDMX-MLGateway
EDI & SDMX-MLGateway
Database
Transmission of GESMES/TS & SDMX-ML Data
SDMX-MLGateway
Website
Registration
SDMX-MLGateway
Notification
Retrieval of SDMX-ML Data
Registry
20
Possible registry-based infrastructure
Registry
ClassificationScheme
ClassificationSchemeKey familyKey family DatasetDataset
Registry Services - RegistrationRegistry Services - Registration
StatisticsUser
ConsumerConsumerPublisherPublisher
IMF Website
World Bank Website
OECDWebsite
BIS Website
Central BankWebsite
Key family metadata
Key family metadata
Search, Retrieve, TransformSearch, Retrieve, Transform
DatasetDataset
21
Web Services for statistical information exchange and sharing
Web
Service
Service/Data Provider
Registry
Web
Service
Service/Data ConsumerService/Data Locator
22
23
24
25
26
27
Selecting Data Category to Search (Demo)
28
Results of Registry Search – Comparison View (Demo)
29
Reduced reporting burden – via common formats adopted by international organisations for data and metadata exchange
More user-friendly access when publishing national dataand metadata on the web - via global standards for data formats, catalogs/registries and associated services
Enhanced opportunity for navigation, discovery and comparative data analysis – via global guidelines for metadata vocabularies and repositories linked to statistical information in common formats
Can replicate these models and tools for statistical information systems at national levels
Anticipated benefits
30
Transition from projects to SDMX deliverables, on a learn-by-doing basis
metadata standards
technical standards
Pilot for Joint External Debt Hub (involving cost sharing by participating international organisations)
to implement initial version 1.0 standards
to implement re-usable and freely available tools and registries to provide the basis for capacity building, fostering the adoption of SDMX standards
to implement a pilot for creditor and debtor statistics based on these standards and tools
Envisaged next steps
SDMX
StandardsTools
RegistriesRepositories
Conformance TestsMonitor Projects / ActivitiesTraining / Capacity BuildingCopyright and Intellectual
PropertyContacts/Liaison N
atio
nal
Acc
ou
nts
SDMXMetadata Standards
Met
adat
a C
om
mo
n V
oca
bu
lary
Bal
ance
of
Pay
men
ts
Ext
ern
al D
ebt
Info
rmat
ion
Mo
del
Arc
hit
ectu
re
International
Sponsoring
Institutions
Fo
rmat
s (E
DI,
XM
L)
Aligned Subject-Matter Activities
(institutions and other fora adopting SDMX standards)
www.sdmx.org
Mo
net
ary
and
Fin
anci
al
Aligned Implementation
Activities
(institutions and other fora adopting SDMX standards)
Co
re S
ub
ject
-Mat
ter
Do
mai
ns
use
input inputinput
SDMXTechnical Standards
examplesexamplesdeliverables
deliverables
Co
re S
tati
stic
al C
on
cep
ts
Join
t E
xter
nal
Deb
t H
ub
input
OE
CD
.Sta
t
BIS
Dat
a B
ank
Co
mtr
ade
NA
WW
E
examples
StandardsTools
RegistriesRepositories
Conformance TestsMonitor Projects / ActivitiesTraining / Capacity BuildingCopyright and Intellectual
PropertyContacts/Liaison
SDMXMetadata Standards
Met
adat
a C
om
mo
n V
oca
bu
lary
Ext
ern
al D
ebt
Info
rmat
ion
Mo
del
Arc
hit
ectu
re
Fo
rmat
s (E
DI,
XM
L)www.sdmx.org
External Debt Joint Hub
Co
re S
ub
ject
-Mat
ter
Do
mai
ns
input inputinput
SDMXTechnical Standards
deliverables
Co
re S
tati
stic
al C
on
cep
ts
input / use
input / use
input / use
use
/ inp
ut
input / use
Aligned Subject-Matter Activity
UN Statistical Commission: Inter-Agency Task Force on Finance Statistics
(institutions and other fora adopting SDMX standards)
Aligned Implementation Activity
BIS-IMF-OECD-World Bank
(institutions and other fora adopting SDMX standards)
SDMX Standards-setting (Version 1.0) - Joint External Debt Hub Project: Overview
deliverables
use
/ inp
utus
e / i
nput
33
More about SDMX to follow in Working Paper 7 :
Inter-agency cooperation for the dissemiantion and exchange of standard metadata
www.sdmx.org