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What role for statistical capacity in a “data revolution”? Committee for the Co-ordination of Statistical Activities Twenty-second Session 4-6 September 2013 Ankara, Turkey Johannes Jütting PARIS21
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(2(2 1. WHAT HAVE WE LEARNT FROM THE MDG PROCESS ? 2. WHAT KEY FACTORS WILL SHAPE THE DATA REVOLUTION ? 3. A DATA REVOLUTION: YES, BUT….. Statistical capacity & Post-2015
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(3(3 1. WHAT HAVE WE LEARNT FROM THE MDG PROCESS ?
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1 Increased data use & enhancing status of data. Great strides in fostering co-ordination (evidence: BAPS, PRESS, regional, within country-donor partnerships). NSDSs design and implementation. Dissemination of micro-data and co-ordination of surveys (ADP and IHSN achievements). (4(4 Achievements
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(9(9 Problem: Misalignment (5(5
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Problem: Some statistics left behind… Source: Ghana Statistical Service, 2013 (6(6
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1 Lessons learnt MDG monitoring overall positive impact… More surveys, data and statistics available. Countries following up after donors left. Statistical capacity efforts – NSDS as strategic approach. …but created some new problems National data often not used. Methodological issues – reconciliation, estimation. “Crowding out”? – donors (dis?)incentives. (7(7
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(8(8 2. WHAT KEY FACTORS WILL SHAPE THE DATA REVOLUTION ?
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1 Data demand indefinite. Most likely under-supply. Surge in data demand from various groups. Open data – open government – accountability. (9(9 DATA as a global public good
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( 10 official non- official Private Public User Producer Need for new institutional arrangements
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( 11 Using best new technologies Source: “PARIS21 working paper
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Yes, but….. ( 12 3. A DATA REVOLUTION ?
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( 13 Evidence- based policymaking Tracking Progress and evaluating policy effectiveness Increasing government accountability Data revolution for what purpose? -More data? -Better policies? -Better lives?
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WANTED: a 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.” A call to action from the highest level ( 14
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1 Call for data revolution comes from Busan Action Plan on Statistics, that seeks to : Fully integrate statistics in decision making Promote open access to and use of data Increase resources for statistical systems ( 15 Sound familiar?
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National ownership, benefit the people, build on what we have. Reduces the risk of “crowding out / in” ; unsustainable financing. Better data, better policies? Innovations not only in data but also in capacity building e.g. skill development. ( 16 Strengthening national capacity is a key element of any data revolution
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How to ensure strengthening a balance between horizontal and vertical approaches? How to bear in mind the reality on the ground in many poor, (fragile) developing countries? How to reach out beyond our circles to reach the broader policy, advocacy communities? PARIS21 stands ready to engage… ( 17 CCSA, data revolution and PARIS21
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