1. IDR progress report
Bangkok Regional Workshop
July ,2014

2. 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?

3. wanted: a new data revolution
“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

4. why a data revolution?
call for a data revolution in early 2013 by the High Level Panel of Eminent Persons on the Post 2015 Framework
individuals and organizations around the world from academics to politicians, and civil society organizations to development banks, have been inspired to make the data revolution become a reality.
many of us have a very different idea of what it means, and what it will take to get there.

5. why a data revolution?
The Partnership in Statistics for Development in the 21st Century (PARIS21), along with the Bill and Melinda Gates Foundation, is seeking to:
inform this discussion and produce a Road Map that will guide international leaders and policymakers, and national governments and statistical offices, in their path toward an effective, relevant, and sustainable development data revolution.

6. We need to unlock the power of data …
why a data revolution?
We need to unlock the power of data …
Getting the right data,
to the right people,
at the right time,
in the right format.
DATA
INFORMATION
KNOWLEDGE
The data paradigm is described in slides 8 to 10. Data is transformed in the statistical process into information, usually in the form of aggregate statistics, such as totals, means, index numbers, etc.
ACTION

7. the data revolution needs to . .
Be about more than just data
Be about more than monitoring development goals
Deliver quickly, 2030 will be too late
Strengthen and sustain national statistical systems, but be much more than business as usual
Be innovative, fill data gaps and make much better use of the data we do have
Make better use of the opportunities provided by new technology
Be built on a real partnership, with much better coordination at all levels

8. the data revolution needs to . .
The data revolution must address existing data gaps to ensure that better statistics lead to better decisions leading to better lives.
This will require an understanding of the different types of data gaps, and how they relate to national statistical systems.
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

9. the data revolution needs to . .
Think out of the box, but remain realistic
Build on what works, but make use of new opportunities
Strengthen existing and create new partnerships
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

10. data gaps Does the data exist?
In 2012, about 230 million children under the age of 5 (approximately 1 in 3) did not have their births registered. Only a quarter of South Asian countries have a complete civil registration system.
Are the data accessible?
Out of almost 2000 surveys across 37 countries documented online by the International Household Survey Network (IHSN), only 42% are available for public use.
Are the data reliable?
It has been estimated that almost 80% of the growth in international remittances to developing countries over the past 20 years can be attributed solely to changes in measurement.
Are the data relevant?
While the MDGs only acknowledge 2 data points for Nepal’s net enrolment ratio in primary education, many more national data exist yet do not conform to international standards.

11. the IDR project will..
Take stock in countries of what is being done – good and bad – and find out about the needs of data producers and data users
Explore innovations, 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

12. country studies
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

13. country studies Cross-country studies In-depth studies
Azerbaijan, Botswana, Chad, Colombia, Côte d’Ivoire, Djibouti, Ethiopia, Gabon, Ghana, Guyana, Haiti, India, Liberia, Madagascar, Malawi, Mali, Mozambique, Nepal, Nigeria, Paraguay, Plurinational State of Bolivia, Samoa, Senegal, South Africa, Sir Lanka, United Republic of Tanzania, Timor-Leste, Uganda, Viet Nam.
Bangladesh, Burundi, Cabo Verde, Democratic Republic of the Congo, Guatemala, Philippines, Trinidad and Tobago.

14. metabase
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

15. metabase Access Innovations Institutions Timeliness Use Soundness
The public availability of data is the foundation of a better informed society
Innovations
Innovations offer solutions for today’s problems and inform tomorrow’s standards
Institutions
A healthy institutional environment is a catalyst for statistical development
Timeliness
Timely data helps decision makers react quickly and stay informed
Use
Knowledge on the demand for data improves efficiency in data production
Soundness
A sound methodology builds trust in data and ensures transparency

16. innovations
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

17. innovations
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.

18. innovations
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

19. innovations Orange Data 4 Development The Big Idea
Analysis of anonymised mobile phone call logs for insights into health, transportation, demographics, income inequality, and more
The Big Idea
Equipping young people with knowledge, skills, and platforms necessary to effectively interpret data in order to mobilise citizens to take action
Strategy for the Harmonization of Statistics in Africa
Enabling the generation of timely, reliable, and harmonized statistics, covering all aspects of political, economic, social, and cultural integration for Africa

20. research
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

21. the road map
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

22. the road map
Important to make the most of existing efforts instead of reinventing the wheel
“imitation is the highest form of flattery” – this shows that we’re on the right track. But 2015 is a tight deadline, so concerted action is needed. 1

23. who needs to be involved?
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

24. When?
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

25. timetable Apr to Jul 2014 Country studies launched
Study of innovations launched
Background papers commissioned
Jul to Oct 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