El-Iza Mohamedou (PARIS21): Why all actors should join the Data Revolution

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P A RI S 2 1 Partnership in Statistics for Development in the 21 st Why all development actors should join the Data Revolution Stockholm February 2015

Transcript of El-Iza Mohamedou (PARIS21): Why all actors should join the Data Revolution

Page 1: El-Iza Mohamedou (PARIS21): Why all actors should join the Data Revolution

PARIS21Partnership in Statistics for

Development in the 21st Century

Why all development actors should join the Data Revolution

StockholmFebruary 2015

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The Data Revolution…is already here

• New technologies leading to exponential increase in volume and types of data available

• Much greater and demand for data on a continuous basis from new actors

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Analysis of call logs for health campaigns

Source: Using ICT’s to shape the post-2015 framework, European Development Days 2013, Orange

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Why do we need a data revolution?

• Too many developing countries still have poor data for MDGs… and SDGs are coming

• There are too many gaps in current data, making some people and some issues almost invisible

• Data arrives too late

• Too many issues are still barely covered by existing data

• Entire groups of people, regions and key issues remain invisible

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Why should all development actors be part of the Data Revolution?

International Level• Poverty• Inequality• Aid• Etc.

National Level• Education• Health• Agriculture• Employment • Etc.

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Not a new call from the International Community

• BAPS call ”to enhance capacity for statistics to monitor progress, evaluate impact, ensure sound, results-focused public sector management, and highlight strategic issues for policy decisions”

• SDG 17.18: “By 2020, enhance capacity building support to developing countries, including for LDCs and SIDS, to increase significantly the availability of high-quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics relevant in national contexts”

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“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

What should a “data revolution” include?

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International comparisonOfficial / non-official

Real-time dataInnovative approaches

Open data

National monitoringHigh / low quality

Vetted statsGlobal standards

Privacy protection

Need to strike a balance

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Building on the IEAG Report…

• Country-led data revolution

• Getting the right data to the right people at the right time and in the right format

• Focus on 139 developing countries – we need 139 data revolutions not just one

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PARIS21’s Contribution: Informing a Data Revolution Project

• Stock taking of supply, demand, and gaps

• Pilot technical and institutional innovation

• Prepare a Road Map for a Data Revolution

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Products of the Informing a Data Revolution Project

Innovations Inventory …inventory of innovations on development data

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Needs from the 24 countries assessments (Top 3)

• Investment in Human Resources: Design of methodologies & processes, Analysis, Strategic planning

• Investment in Statistical infrastructure: GIS, Database Structure, Registers and Sampling frames for establishments and businesses

• Need for technical assistance: Technical planning and design, Data processing and analysis, Data dissemination and use

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Current financing sources• PRESS Report showed that:

• $394 M were dedicated to aid to Statistics in 2013• 0.16% of ODA

• World Bank, United Kingdom, European Commission, African Development Bank, and UNFPA are the top 5 Funders with 89% of total aid

• Information from CRESS of some countries: • Benin (2010-12): 56% from the Government• Cameroon (2009-11): 55% from the Donors • Malawi (2009-12): 27% from the Government

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Bringing the DR to the country level – How?

• Regional Centers • Public-Private Partnerships• User promotion and civil society involvement• Promoting open source solutions• Monitoring international initiatives / Fragmented

system

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One example - Regional Centers

• To be staffed with highly trained personnel to support and introduce adequate new technology applicable for regional conditions

• Serve as a key reference point for countries • Would leverage economies of scale and serve as

clearinghouses of methodologies, practice and technical assistance to countries. e.g. on use of mobile devices for data collection;

development of data portals; expertise in data curation and anonymization and integrating big data into statistical analysis.

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Ultimately…

We need a data revolution that finally improves people’s lives…so all actors need to be on-board

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