1. 1 Informing a Data Revolution Getting the right data, to the right people, at the right time, on the right format Johannes Jütting, PARIS21 Tunis, 8 Decemeber

2. 2 National & Regional  Strategic planning (NSDS & RSDA)  Advocacy  Data (e.g. microdata dissemination) Global  Co-ordination (BAPS, PRESS)  Knowledge sharing

3. 3 1 After 1.5 years of discussion – emerging consensus:  Data revolution: data surge in supply and demand + institutional change + use/accountability  Promises, risks and trade-offs  IEAG report suggests 4 key recommendations: a) Principles b) Capacity and Resources c) Governance/Leadership d) Technology/Innovation Big question: How do we make this work in a developing country context?

4. 4  Stock taking of supply, demand, and gaps  Pilot technical and institutional innovation  Prepare a Road Map for a Data Revolution

5. 5 1 Emerging results from IDR project:  Country analysis: Co-ordination within NSS, underfunded operations, missing leadership and support  Metabase and Innovation Inventory  Road Map: What? How? By whom? When? – practical suggestions for countries and donors >> Important to make most of existing efforts, incremental steps and take into account the “reality on the ground”

6. 6  Taking stock in countries of what is being done – good and bad – and find out about the needs of data producers and data users  Exploring innovations, finding out what works and seeing if and how it can be replicated  Carrying out a research programme  Advocating for and promote a data revolution  Producing a Road Map for the next five years

7. 7  Technological, institutional and other developments provide major opportunities to improve the collection, compilation, dissemination and use of data  PARIS21 has compiled an inventory of case studies to identify and explore solutions that can fill data gaps, reduce costs and improve efficiency so that more and better data effectively contribute to improving people’s lives

9. 9  PARIS 21 has compiled data on the organisation, management and performance of national statistical systems to provide new insights on capacity for a data revolution.  It will be both a baseline and a means of monitoring progress over time.

11. 11  Major and sustained increase in the availability and use of data to drive development  Promote the effective use of technology to improve the performance of all statistical agencies  Make data accessible and useable by everyone

12. 12 Getting the right data, to the right people, at the right time, in the right format Focus on 139 developing countries – we need 139 data revolutions not just one

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14. 14  The short term: establish a baseline – 2015/16 focus on quick wins  The medium term: 2020  The long term: 2030

15. 15  Baseline and quick wins  Enable and support countries to update and develop their own statistical plans and strategies  Assessment and inventory  Medium and long-term  Support users and strengthen statistical literacy  Increase demand and support for statistics

16. 16  Baseline and quick wins  Strengthen policies and processes for disseminating data  Promote adoption of open data principles  Medium and long-term  Ensure statistical legislation remains relevant and useful  Invest in civil registration and widen partnerships  Promote right of access to data

17. 17  Baseline and quick wins  Develop national innovation inventories  Pilot big data projects  Improve efficiency of data collection  Improve access to administrative data  Medium and long-term  Help countries identify research and development priorities  Support evaluation and dissemination of software tools  Upgrade training and technical assistance  Develop, disseminate and promote the adoption of tools to strengthen data access and use  Automate the transfer of data to international agencies

18. 18  Baseline and quick wins  Promote and enhance the status of national statistical agencies  Medium and long-term  Strengthen communication with data users  Promote better data sharing between agencies  More effective and responsive statistical systems

19. 19  Build monitoring into the implementation of country plans and strategies  At the regional and global level automate the process and limit the reporting burden  Use the PARIS21 Metabase, in collaboration with the World Bank  Annual reports and surveys for the Global Forum and UNSC  PARIS21 PRESS process to monitor and report on financing

20. 20  Statistical activities will continue to be financed mainly by governments  Initial cost estimates suggest $2 billion per year of which about 50% will come initially from aid  Aid needed for capacity building and statistical activities in countries and for actions at the regional and global levels  Recommended aid is about twice current commitments – about 0.7% of total ODA

21. 21  Develop a data compact  Align aid with national priorities and manage more through system wide approaches  Establish global and/or regional trust funds  Consider a challenge fund, payment by results and budget support  Help countries develop programmes  Special fund for countries in difficult circumstances

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