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Machine-readable open data: how it’s applicable to developing countries

Audrey Ariss's picture

Where should telecom providers place their towers and what frequencies should they use?

How can governments best calculate commodity imports to ensure food security?

How can communities better manage areas at risks of floods?

These are just some of the questions that organizations around the world try to answer by using open government data — free, publicly available data that anyone can access and use, without restrictions. Yet around the world, much government data is yet to be made available, and still less in machine-readable [1]formats. In many low and lower-middle income countries, finding and using open data is often challenging. It may take a complicated request process to get data from the government, and the data may come in the form of paper-based documents that are very hard to analyze. A new study looks to better understand how organizations in low and lower-middle income countries utilize machine-readable open data.

In producing the study, the Center for Open Data Enterprise, supported by the World Bank, interviewed dozens of businesses and nonprofit organizations in 20 countries. The organizations were identified through the Open Data Impact Map, a public database of organizations that use open data around the world, and a resource of the Open Data for Development (OD4D) Network. Over 50 use cases were developed as part of this study, each an example of open data use in a low or lower-middle income country.


 

Meet four women leading the drive for open data in Africa

David Mariano's picture

Editor’s note: This is a guest blog from Jeni Tennison, CEO at the Open Data Institute. This article was first published by This is Africa on 17th January 2017​.

 
Nkechi Okwuone

Across Africa, innovators are using open data to gain greater insight into local issues, and create new public services. From government open data platforms to startup accelerator programmes, open data is increasingly recognised as a tool for tackling challenges across a range of sectors including health, education and agriculture.

This autumn, in six cities across South Africa the Responsive Cities Challenge encouraged designers and entrepreneurs to use open data to develop solutions that will improve local government services. Meanwhile, in Burkina Faso, the CartEau project is using open data to map safe drinking water points and latrines across the country for the first time. These examples show how open data is a powerful vehicle for addressing complex problems.

Increasing digital connectivity is important for economic growth, education and democratic participation but the equalising force of the Web is only meaningful when everyone is included in the digital sphere. According to the Web Foundation, women face disproportionate barriers to access, with poor women in urban areas in 10 developing countries they looked at 50% less likely to be connected to the Internet than men in the same age group.

Open data – data anyone can access, use or share – is transformative infrastructure for a digital economy that is consistently innovating and bringing the benefits of the Web to society. Open data often goes hand in hand with open working cultures and open business practices. While this culture lends itself to diversity, it is important that those who are involved in open data make sure it addresses everyone's needs. It is therefore encouraging to see that open data initiatives in African countries are being led by women.

Non-tradable sector wages track high-skilled tradable sector wages

Oscar Calvo-González's picture

Recent data on hourly wages in Latin America and the Caribbean (LAC) reveal that Latin Americans working in the non-tradable sector (as in construction, transportation, hotels, or education) earn much more than workers in low-skill tradable sectors such as agriculture or low-tech manufacturing, and closer to high-skill workers in the tradable sector such as high-tech manufacturing or finance. Despite slight variations across countries, in 11 out of 17 countries studied, the difference between wages in low-skill tradable and non-tradable sectors has grown over the last ten years.[1] In most of these countries, hourly wages display a distinct trend: positive growth for high-skill tradable and non-tradable wages, and stagnating, or even declining for low-skill tradable wages.
 

Graph showing trends in non-tradable wages in Latin America

Source: World Bank's LAC Equity Lab
 

How level is the playing field between countries in Latin America and the Caribbean?

Oscar Calvo-González's picture

In less than a generation the Latin America and the Caribbean (LAC) region has made great progress in expanding the basic public services that are necessary for children to succeed later in life. The skills, knowledge and health accumulated by individuals by the time they reach adulthood are essential to get jobs, accelerate economic mobility, and reduce inequality in the long-run. The progress observed in LAC ranges from increased access to healthcare and schools to running water and electricity. But progress has also been uneven, both across countries and for different types of basic services.

Today, the playing field in Latin America is most level in access to electricity, where we have seen gaps in coverage narrow the most. Figure 1 below shows how the typical performance in the region (the median) compares with the country in the region with the highest level of coverage (labeled “best in class”) in three basic services for children. The focus on children makes it possible to determine that any difference in access would be mostly due to circumstances out of their control. In the case of access to electricity the regional median has not only converged towards the best performing country but it has now reached a coverage of 99 percent.

Boosting demand for open aid data: lessons from Kenya’s e-ProMIS

Daniel Nogueira-Budny's picture

One journalist used it as a data source for a story on solar energy in Makueni County. Another accessed the data for inclusion in a piece on sanitary napkin distribution in East Pokot. Development partners reported relying on the data to coordinate specific activities in the Central Highlands of Kenya. And this is to say nothing of the government users of the data managed by the Electronic Project Monitoring Information System for the Government of Kenya (e-ProMIS), Kenya’s automated information management system on development projects funded by both domestic and foreign resources.
 

 

The all-new Open Data website is here

Tim Herzog's picture
The time has come to bid a fond farewell to the open data website that has served us well for almost six years. Next week we will launch the most significant upgrade to the World Bank’s Open Data website since its initial debut in 2010. We first announced this upgrade when we launched the site as a public beta a few months ago.

Visuals matter: Public goods and effective design

Claudio Mendonca's picture


 
From time to time, everyone encounters sleek products whose form seems to eclipse their function—an image-heavy website that fails to provide basic information, or a shiny gadget with an all-too-brief usable life. Many of us are occasionally guilty of creating such products, but we also shouldn’t underestimate the importance of design, especially when trying to reach a general audience with an initiative or service.

European countries making clear progress with Open Data

Tariq Khokhar's picture
Editor’s note: This is a guest blog from Margriet Nieuwenhuis, Eva van Steenbergen and Wendy Carrara on behalf of the European Data Portal. The indicator “Open Data readiness” mentioned in the analysis below is unrelated to the Open Data Readiness Assessment tool developed by the World Bank.
 
The public sector is providing increasing amounts of Open (Government) Data free of charge. Open Data refers to the information collected, produced or paid for by public bodies and can be freely used, modified and shared by anyone for any purpose. In Europe, the maturity of Open Data varies between the countries, as recent research shows. In 2015, the European Data Portal team conducted an assessment of where European countries stood with regard to Open Data. The countries included are the EU Member States (28 countries in total) plus Iceland, Liechtenstein, Norway and Switzerland – further on referred to as the EU28+ countries.
 
Two key indicators have been selected to measure Open Data maturity; Open Data readiness and the maturity of the national Open Data portal. Open Data Readiness looks at the presence of Open Data policies, at the use made of the available Open Data, and at the political, social and economic impact of Open Data. Portal Maturity measures the usability of a web-based Open Data portal with regard to the availability of functionalities, the overall re-usability of data, as well as the spread of data. The two key indicators as well as the sub indicators are depicted in the table below.
Open Data Maturity indicators.

Increasing data literacy to improve policy-making in Sudan

Sandra Moscoso's picture
Participants of data literacy program in Sudan. Photo: Sandra Moscoso

What do you do when facing a tough decision, like buying a home or selecting the right location for your new business? What about decisions that affect entire communities, or countries? How are those decisions made?
 
If you’re like most people, you rely on facts and advice from experts. You might look for data in studies, reports, or seek the advice of people you trust. You may also conduct a bit of critical analysis of the data you collect and the advice you receive. Ideally, policy-makers responsible for making decisions which impact our communities and our lives are collecting reliable data and conducting critical analysis, as well.

How am I doing? A new daily scorecard will soon let Boston’s mayor know

Alice Lloyd's picture
City of Boston skyline. Photo credit: Mattias Rosenkranz


2016.  A new year and a new emphasis on data-driven performance for local government.  Cities are accelerating at a fast pace to put data to use. Not just to understand what’s happening on the street level, also to improve service delivery systems.
 
Until recently, Boston’s Department of public works kept track of jobs on paper. And there was no efficient system to track what jobs were done and what needed to be done.
 
But that has changed.


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