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ENDING poverty - Save the Children

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<strong>ENDING</strong> POVERTY IN OUR GENERATION<br />

that can provide useful lessons for <strong>the</strong> post-2015<br />

framework. These include <strong>the</strong> reporting procedures<br />

related to <strong>the</strong> Convention on <strong>the</strong> Rights of <strong>the</strong> Child<br />

and its associated Optional Protocols, <strong>the</strong> Committee<br />

on <strong>the</strong> Rights of <strong>the</strong> Child, <strong>the</strong> child-centred UN<br />

Special Procedures (such as Special Rapporteurs<br />

and Working Groups), and regional child-rights<br />

mechanisms (such as <strong>the</strong> African Committee on<br />

<strong>the</strong> Rights and Welfare of <strong>the</strong> Child). Lessons can<br />

also be learned from <strong>the</strong> safeguarding policies and<br />

accountability mechanisms of <strong>the</strong> international<br />

financial institutions, such as <strong>the</strong> World Bank, and<br />

<strong>the</strong> innovative sectoral accountability bodies, such as<br />

<strong>the</strong> Commission on Information and Accountability,<br />

related to <strong>the</strong> UN Secretary-General’s Every Woman,<br />

Every Child initiative.<br />

DATA AVAILABILITY<br />

Reliable data on <strong>the</strong> state of human development –<br />

especially separate data for different groups such as<br />

women and men, or girls and boys – is shockingly<br />

inconsistent and <strong>the</strong>refore unreliable. Moreover, <strong>the</strong><br />

data that exists may not be <strong>the</strong> most meaningful. For<br />

example, most countries only provide data on school<br />

enrolment and completion. One country that has<br />

gone beyond this is Ghana – <strong>the</strong> disaggregated data<br />

provided on learning outcomes cited earlier (see<br />

page 8) reveals <strong>the</strong> crucial issue of failure to learn<br />

once in school.<br />

Disaggregated data is also important to reveal pockets<br />

of <strong>poverty</strong>. For example, <strong>the</strong> Ugandan government<br />

and its donors have been criticised for investing in<br />

health and education only in <strong>the</strong> most stable areas,<br />

<strong>the</strong>reby ignoring <strong>the</strong> people living in <strong>the</strong> north of<br />

<strong>the</strong> country and suffering <strong>the</strong> effects of civil war, and<br />

in turn exacerbating <strong>the</strong> sense of exclusion among<br />

nor<strong>the</strong>rners, which has itself contributed to <strong>the</strong> war.<br />

This issue was revealed by disaggregated data.<br />

In terms of accountability <strong>the</strong> most effective way<br />

forward will be if countries use similar data systems,<br />

in order to generate data that is comparable.<br />

Development data systems should be globally<br />

managed. And countries should commit to annual or<br />

bi-annual national level monitoring and data collection,<br />

based on common indicators and international agreed<br />

data collection standards.<br />

It can be hard to generate enthusiasm for data, which<br />

sounds so much less immediate than saving <strong>the</strong> life of<br />

a child. However, to make equitable progress against<br />

child mortality, better data is essential. Data collection<br />

needs investment, and it is imperative that a global<br />

fund for this purpose should be set up. This fund<br />

would provide both grants and advisory services to<br />

national governments.<br />

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