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The Data Revolution for Post-2015 Development Agenda

Explore how a data revolution can address old problems, prioritize emerging data needs, and achieve new opportunities for global development. Learn about the challenges, potential leaders, and call to action.

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The Data Revolution for Post-2015 Development Agenda

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  1. How could a data revolution help? 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

  2. 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 (5

  3. Global player rooted in national and regional action • National & Regional • Strategic planning (NSDS & RSDA) • Advocacy • Micro-data dissemination • Global • Co-ordination (PRESS) • Knowledge sharing • Co-ordination of household surveys Figure: Countries receiving direct support (6

  4. PARIS21 in the MENA region • 5 regional foraon 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

  5. Key questions Whydowe need a “data revolution”? Howcan it be achieved?

  6. Whydo we need a data revolution? • Old problems • Emerging priorities • New opportunities • Your revolution may not be my revolution!

  7. Old problem: what’s a data gap? • 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!

  8. Old problem: seeing like a donor Source: Seeing Like a State, James Scott Source: Seeing like a state in Africa: Data needed, Justin Sandefur, Center for Global Development

  9. Emerging data priorities • 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 • New indicators for new areas: • Sustainable development • Governance • 69th UNGA

  10. Howcan we achieve a data revolution? • Who will lead this data revolution? • What are the priorities? • How do we address the challenges? • A call to action

  11. Who should lead? Everyone!

  12. Addressing these challenges • 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 1

  13. From dialogue to partnerships? Private official Public non-official User Producer (16

  14. New opportunities: private sector • Tapping new and unused sources of data Source: Using ICT’s to shape the post-2015 framework, European Development Days 2013, Orange

  15. New opportunities: civil society • 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

  16. New opportunities: big data • Growing amountof data • The global volume of digital data will multiply by a factor of 40 by the end of this decade • Growing capacity to analysethe data • From 10 years to decode the human genome in 1993-2003 to 1 week in 2010 • Growing ability to storethe 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)

  17. Big data (2

  18. Using big data: risks Source: OECD Project on Data and Data Analytics: Prospects for Growth and Well-Being (http://oe.cd/bigdata)

  19. Using big data: implications for NSOs • 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 non-traditional 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)

  20. Oil for revolutions? • Crude • Investments needed • Complementary : not the same faster! • Data AND institutions : NSO’s key role • It’s political – “revolution” versus “digital divide” (14 1

  21. Conclusion • 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! (19

  22. Using big data: and setbacks • 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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