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Informing a Data Revolution

Informing a Data Revolution. 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?. Wanted: a new data revolution.

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Informing a Data Revolution

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  1. Informing a Data Revolution

  2. Whydo we need a “data revolution”? What do we want to achieve? Howwill we do it? Whoshould be involved? Whenwill 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.” Anew 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. The data revolution should… • Buildon what has already been achieved • Promotethe production and use of more relevant, timely, open and reliable data • Supporteveryone to make better decisions for better lives • Be implementedin new ways 1

  5. Howcan we achieve a data revolution? • Thinkout of the box, but remain realistic • Buildon what works, but make use of new opportunities • Strengthenexisting and create new partnerships

  6. With financial support from the Bill and Melinda Gates Foundation, PARIS21 is carrying out a project to Inform a Data Revolution

  7. We want to improve the production, accessibility and use of datato 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

  8. 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 ACTION

  9. Take stock of what is being done – good and bad – and find out about the needs of data producers and data users Exploresolutions, finding out what works and seeing if and how it can be replicated Advocatefor and promote a data revolution Produce a road map for the next five years What are we going to do?

  10. How are we going to do it? • Country studies – find out where we are now, analyse problems and challenges and identify some solutions • Review innovationsand see what could help • Carry out important background research • Advocacy and communication – developing and extending the partnership

  11. The country studies • 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

  12. Database Subscribed to standards? Details on organization of NSO? CRVS coverage? # of microdata sets online? # of country data points in MDG database? Use of statistics in PRSPs? Outreach of NSO to users? # of CSOs active in statistics? NSDS implemented? Small Island, Landlocked or Fragile? Funding level of statistics? Details on Legislation? Data available on NSO website? Last census?

  13. Innovations • Identifynew ways of doing things and new ways of using existing technology to improve the production and use of data • Classifyinnovations and compile relevant documentation • Write-upa selection of the most promising that are relevant to the needs of developing countries

  14. 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. • 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

  15. 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

  16. 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

  17. 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 When?

  18. Outline timetable

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