A Global Sharing Network to Strengthen Countries’ Education Data
This is a follow-up to the blog post published last week in NORRAG Highlights on investing in SDG 4 Data. It is co-authored by Luis Crouch, Senior Economist at the International Development Group (RTI International), and Silvia Montoya, Director of the UNESCO Institute for Statistics (UIS).
No strategy – no matter how thorough – can succeed unless it is backed by good data that chart progress towards its objectives and meets the needs of its users, especially at the country level.
As a previous blog post has noted, the UNESCO Institute for Statistics (UIS) wants to ‘re-boot’ the education sector through data innovations that respond to demand, and we are pushing hard for a Global Strategy for Education Data. As part of that push, we have been making the case for greater investment in the data needed to chart progress towards Sustainable Development Goal 4 (SDG 4) on education, including publishing a blog post and paper in the run-up to this week’s replenishment meeting of the Global Partnership for Education (GPE) in Dakar, Senegal. The meeting aims to secure pledges from donors to secure the future education of no less than 870 million children.
With so much at stake, it is time to look more closely at the investment case for SDG 4 data, which highlights key ingredients for the Global Strategy for Education Data needed to support such ambitions. In our view, Country Data Hubs should be part of the recipe — supporting multi-sourced data integration and harmonisation based on international standards, while helping to improve data quality and reliability as well as reporting to the UIS for SDG monitoring.
The inspiration for Country Data Hubs comes from the success of the CountrySTAT programme run by the Food and Agriculture Organization (FAO) of the United Nations with funding from the Bill & Melinda Gates Foundation.
The UIS has drafted a proposal for an education-focused version in the form of edu2030/countrySTAT — a Global Sharing Network that situates countries at the centre, managed by them and attending their needs. Easily accessible online, it would enable researchers, policymakers, development organizations and the private sector to design and implement better policies as well as reduce transaction costs and information gaps.
From the start, the Network would focus on the demand and needs of countries (at the national, regional and global levels) by taking an innovative and collaborative approach, using techniques such as design-based thinking and rapid prototyping. At each level, we will work with stakeholders to build on ideas through brainstorming and by testing solutions rapidly to gather feedback.
These hubs will cover two broad areas. First, they will provide information on the situation of education data within the country, including:
- surveys and data collected (including when and how)
- indicators produced at the country level
- sub-national data
- metadata and relevant policy information.
Second, they will set out the data position of the country in relation to international data, standards and related resources, such as:
- metadata (including definitions and calculation methods) on the 43 global and thematic indicators;
- standards such as the International Standard Classification of Education Data (ISCED);
- model questionnaires and items that countries can use to collect education data, including data on learning outcomes;
- quick guides on how to implement learning assessments, report on learning assessment data and use the results for SDG 4 policymaking; and
- capacity development tools such as those set out in the recent SDG 4 Digest to improve data quality, such as templates to initiate national strategies for the development of education statistics.
There could be a range of benefits but, above all, this Global Data-Sharing Network could improve the dissemination of education data (with a special emphasis on SDG 4 data to monitor progress towards the global goals) and help countries take an evidence-based approach to decision making.
By publishing national and international data in one place, we can promote the greater use of data while increasing transparency and – at the same time – providing a much-needed spur for more research and greater investment in data.
The Global Sharing Network will also show the full range and diversity of data at the national level, which is a critical feature of the UIS strategic approach. For example, it could include the results of citizen-led learning assessments such as the work of the PAL Network, which spans 14 countries across Africa, Asia and Central America.
Donors would also benefit from the simplicity of this approach, as they could offer direct support to individual countries by investing in the development of their own portal in the Global Sharing Network.
We hope to generate a vibrant discussion of this approach at this week’s GPE replenishment meeting, seeing it as yet another strong argument in our case for far greater investment in education data. Watch this space for the results of this discussion!
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From a country’s perspective all these issues are also included in the overall National strategy for the development of statistics (NSDS)
What is the NSDS? from OECD/PARIS21 NSDS Guidelines (http://nsdsguidelines.paris21.org/ )
“A National Strategy for the Development of Statistics (NSDS) is a national framework, process and product for statistics development aimed at mainstreaming statistics into national policy and planning process; producing information responding to the needs of the various users; maintreaming sectors and other players into the National Statistics System (NSS); coordinating the entire NSS; responding to data challenges; delivering a country-led data revolution; and building statistical capacity across the “the statistical value chain”. The process to elaborate and implement an NSDS is consultative and inclusive; it should involve all the major actors from the NSS: producers and users of statistics, decision makers, technical and financial partners, civil society, private sector, universities, etc. ”
This is also true for Agriculture statistics and the agriculture CountrySTAT hub, thus leading naturally, in a National statistical system perspective, to a kind of a National Network of Hubs for the various Statistical domains. Any NSDS should be built on a shared long term vision of such a network. Any sector strategy should be designed to respond to sector needs and also aiming at this overarching goal.