Why do we need a “data revolution”? What do we want to achieve? How will we do it? Who should be involved? When will.

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Transcript Why do we need a “data revolution”? What do we want to achieve? How will we do it? Who should be involved? When will.

Why do we need a “data revolution”?
What do we want to achieve?
How will we do it?
Who should be involved?
When will it be done?
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“A true data revolution would draw on
existing and new sources of data to fully
integrate statistics into decision making,
promote open access to, and use of, data
and ensure increased support for
statistical systems.”
A new global partnership: eradicate poverty and transform economies through sustainable
development: The Report of the High-Level Panel of Eminent Persons on the Post-2015
Development Agenda, 30 May 2013, Chapter 4
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• Build on what has already been achieved
• Promote the production and use of more
relevant, timely, open and reliable data
• Support everyone to make better
decisions for better lives
• Be implemented in new ways
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How can we achieve a data
revolution?
• Think out of the box, but remain
realistic
• Build on what works, but make use of
new opportunities
• Strengthen existing and create new
partnerships
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With financial support from the
Bill and Melinda Gates
Foundation, PARIS21 is
carrying out a project to Inform
a Data Revolution
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We want to improve the production,
accessibility and use of data to support
and strengthen evidence-based decisions
• In order to do this we will:



Improve the understanding of data systems
Build a coalition and involve new partners
Develop a road map for the data revolution to support the
Post-2015 development process
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DATA
INFORMATION
KNOWLEDGE
ACTION
We need to unlock the
power of data …
Getting the right data,
to the right people,
at the right time,
in the right format.
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• Take stock of what is being done – good and
bad – and find out about the needs of data
producers and data users
• Explore solutions, finding out what works and
seeing if and how it can be replicated
• Advocate for and promote a data revolution
• Produce a road map for the next five years
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• Country studies – find out where we are now,
analyse problems and challenges and identify
some solutions
• Review innovations and see what could help
• Carry out important background research
• Advocacy and communication – developing
and extending the partnership
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• Stage 1 – Build a database of public information
about statistical systems, classify into groups
• Stage 2 – Complete an assessment of a sample of
countries from each group, using a standard
approach, identifying constraints and challenges
• Stage 3 – In-depth case studies in a few countries
to identify potential solutions and ways to
strengthen capacity and performance
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Subscribed
to
standards?
CRVS
coverage?
# of country
data points
in MDG
database?
Funding
level of
statistics?
# of
microdata
sets online?
# of CSOs
active in
statistics?
Data
available on
NSO
website?
NSDS
implem
ented?
Details on
organization
of NSO?
Use of
statistics
in PRSPs?
Small
Island,
Landlocked
or Fragile?
Outreach
of NSO to
users?
Details on
Legislation?
Last
census?
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• Identify new ways of doing things and new
ways of using existing technology to improve
the production and use of data
• Classify innovations and compile relevant
documentation
• Write-up a selection of the most promising
that are relevant to the needs of developing
countries
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• Strengthening international coordination - promoting
harmonisation, developing and implementation of statistical
standards and tools.
• Improving the ways in which the international statistical system
and national statistical systems interact.
• New ways of financing statistical activities ,providing technical
assistance, and aid for capacity building.
• Strengthening the coordination and management of statistical
systems in countries.
• Improving the organisation and management of statistical
production processes - design, collection, processing, analysis,
dissemination, archiving and evaluation phases of GSBPM.
• Developing tools and applications to support the analysis and use
of statistics
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• Make sure the argument for the data revolution
is clear and based on good research
• There is not a strong research base for the
organisation of statistical activities
• The project will commission up to five different
pieces of research
• All research will be independently reviewed
and will be published by PARIS21
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Just about everyone:
•
•
•
•
•
•
•
•
•
National statistical systems
All kinds of data users
Other data providers
The owners and producers of big data
The international community
Civil society organisations
Academics
Private sector businesses
The media
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• Road map will be launched in July 2015 in
advance of the UN General Assembly
• The Road Map document will be supported by
a number of other outputs
Clear vision of what the revolution is about
 Background documents including the country
studies and the background research
 The Road Map will include an overview of how the
revolution can be implemented, including an
estimate of the financing requirements

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Jan to Mar 2014
Staff recruited
Advocacy campaign launched
Work-plan developed and agreed
Apr to Jun 2014
Country studies launched
Study of innovations launched
Background papers commissioned
Jul to Sep 2014
Country studies completed
Background papers completed
Oct to Dec 2014
Synthesis of country studies
Write up of innovations
First draft of road map prepared
Jan to Mar 2015
Final draft of road map prepared
Apr to Jun 2015
Final version of all documents
July 2015
Launch of the Road Map
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