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Informing a Data RevolutionGetting the right data, to the right people, at the right time, on the right format

Johannes Jütting, PARIS21Tunis, 8 Decemeber

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National & Regional Strategic planning (NSDS & RSDA)

Advocacy

Data (e.g. microdata dissemination)

Global Co-ordination (BAPS, PRESS)

Knowledge sharing

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After 1.5 years of discussion – emerging consensus:Data revolution: data surge in supply and demand + institutional change + use/accountability

Promises, risks and trade-offsIEAG report suggests 4 key recommendations:

a) Principles b) Capacity and Resourcesc) Governance/Leadership d) Technology/Innovation

Big question: How do we make this work in a developing country context?

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Stock taking of supply, demand, and gaps

Pilot technical and institutional innovation

Prepare a Road Map for a Data Revolution

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Emerging results from IDR project:

Country analysis: Co-ordination within NSS, underfunded operations, missing leadership and support

Metabase and Innovation InventoryRoad 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”

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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

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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

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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.

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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

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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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The short term: establish a baseline – 2015/16 focus on quick wins

The medium term: 2020

The long term: 2030

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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

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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

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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

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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

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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

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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

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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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