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 Statistical capacity & Post-2015 1. WHAT HAVE WE LEARNT FROM THE MDG PROCESS ? 2. WHAT KEY FACTORS WILL SHAPE THE DATA REVOLUTION ? 3. A DATA REVOLUTION: YES, BUT….. (2 1. WHAT HAVE WE LEARNT FROM THE MDG PROCESS ? (3 Achievements • 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). (14 Problem: Misalignment Percentage of pupils starting Grade 1 who reach last grade of primary: Mozambique UN Administrative NSO 100 90 80 70 60 50 40 30 20 10 0 ((59 Problem: Some statistics left behind… Source: Ghana Statistical Service, 2013 (6 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. (17 2. WHAT KEY FACTORS WILL SHAPE THE DATA REVOLUTION ? (8 DATA as a global public good • Data demand indefinite. • Most likely under-supply. • Surge in data demand from various groups. • Open data – open government – accountability. (19 Need for new institutional arrangements Private official Public nonofficial User Producer (10 Using best new technologies Source: “PARIS21 working paper (11 3. A DATA REVOLUTION ? Yes, but….. (12 Evidencebased policymaking Data revolution for what purpose? -More data? -Better policies? -Better lives? Tracking Progress and evaluating policy effectiveness Increasing government accountability (13 A call to action from the highest level 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.” (14 Sound familiar? 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 (115 Strengthening national capacity is a key element of any data revolution 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 CCSA, data revolution and PARIS21 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 www.paris21.org For more information contact@paris21.org FOLLOW US ON