Who should lead a data revolution?
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Transcript Who should lead a data revolution?
The emerging Post-2015 Development Agenda
Dr. Johannes Jütting, PARIS21
Ministry of Development Planning and Statistics, State of Qatar
National Statistics Day Forum
10 December 2013
Doha, Qatar
Partnership in Statistics for
Development
A global, inclusive partnership created by OECD,
UN, WB, Eurostat and IMF in 2000
Strengthening national statistical capacity – BAPS
implementation
Forum where data producers and users meet
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Global player rooted in national and
regional action
National & Regional
Global
Strategic planning (NSDS & RSDA)
Co-ordination (PRESS)
Advocacy
Knowledge sharing
Micro-data dissemination
Co-ordination of
household surveys
Figure: Countries receiving direct support
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• 5 regional fora on statistical
strategies and NSO co-operation,
with League of Arab States
• Training on data documentation
at the Arab Institute for Training
and Research in Statistics
• Technical advice in developing an
NSDS in a number of MENA
countries, including Qatar
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Why do we need a “data revolution”?
How can it be achieved?
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Why do we need a data revolution?
• Old problems
• Emerging priorities
•
New opportunities
Your revolution may not be my revolution!
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Data does not exist
Data exists, but not in a useable forms for users
Data exists, in useable forms, but nobody knows
Data exists, in useable forms, people know, but
nobody knows how to use it
Data exists, is usable, people know, people know
how to use it, but nobody cares!
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Source: Seeing Like a State, James Scott
Source: Seeing like a state in Africa: Data needed, Justin Sandefur, Center for Global Development
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More use of national data for new goals:
— Jobs
— Education (potentially on quality)
Disaggregation of existing data to measure:
— Getting to zero poverty
— Impact on women and girls
— Impact on inequality
69th UNGA
New indicators for new areas:
— Sustainable development
— Governance
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How can we achieve a data revolution?
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Who will lead this data revolution?
What are the priorities?
How do we address the challenges?
A call to action
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Who should lead a data revolution?
1% 2%
14%
21%
National Statistical Systems
Private-Public Partnerships
International Organizations
Business
14%
Citizens
Academia
24%
Other
no answer
11%
13%
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Global partnership on development
data, based on past success
Expansion of more relevant, and more
reliable data production including
strengthened national capacity
Support decision makers to make
informed decisions for better lives
Find new ways to support statistical
capacity and data production
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Private
official
Public
nonofficial
User
Producer
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• Tapping new and unused sources of data
Source: Using ICT’s to shape the post-2015 framework, European Development Days 2013, Orange
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• Independent, non-partisan,
non-profit institute from the
Philippines
• Founded 1985
• Conducts social surveys and
survey-based social science
research
• Reports core indicators every
quarter, whether favourable to
the administration or not
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Growing amount of data
• The global volume of digital data will multiply by a
factor of 40 by the end of this decade
Growing capacity to analyse the data
• From 10 years to decode the human genome in
1993-2003 to 1 week in 2010
Growing ability to store the data
• A disk drive that can store all of the world’s music
costs less than $2000
Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)
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Big data
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Privacy
• Applicability of current privacy frameworks
• informed consent
• purpose specification and use limitation
• cross border data flows
Cloud Computing
• Vendor lock-in
• Loss of IT-control
• Security and risk management
Data ownership, control and access
• Open data initiatives
• Data portability
Liability
• The role of data controller, algorithm owner, and analytic user
Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)
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• Should NSOs…
take on a new mission as a trusted third party
whose role would be to certify the statistical
quality of these new sources?
use non-traditional sources to augment (and
perhaps replace) their official series?
issue statistical best practices in the use of nontraditional sources and the mining of big data?
be given legal power to collect personal
information?
Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)
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• Crude
• Investments needed
• Complementary : not the same faster!
• Data AND institutions : NSO’s key role
• It’s political – “revolution” versus “digital divide”
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Political will to support statistics at an historic high
Public/ popular support also growing fast with new
actors keen to support good data - Foundations,
CSOs, private companies
New tools/approaches create new opportunities
PARIS21 is at your disposal!
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• Google’s “Flu Trends”
drastically overestimated
peak flu levels in 2013
• Data quality control is
important when dealing
with issues that have
serious implications,
such as national health
Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)
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