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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.

Classifying countries by income: A new working paper

Neil Fantom's picture


"The World By Income"

We’ve
just released a working paper reviewing the Bank’s classification of countries by income. As Tariq Khokhar and Umar Serajuddin pointed out in their recent blog about whether we should call countries developing or not, there’s a strong appetite for classifying and ranking countries. Where is the best country to live, according to the OECD? (it depends, but it might be Australia, Norway or Sweden.) Which are making the most social progress, according to the Social Progress Imperative? (Norway and Sweden again.) Where is it easiest to do business, according to the World Bank? (Singapore.) Which countries have highest or lowest human development, according to the United Nations Development Program? (that’s Norway once more, and Niger is lowest.).

Using GNI per capita

The World Bank has used a specific measure of economic development - gross national income (GNI) per capita - for the purpose of ranking and classifying countries for over 50 years. The first compendium of these statistics was called the World Bank Atlas, published in 1966 - it had just two estimates for each country: its population, and its per capita gross national product in US dollars, both for 1964. Then, the highest reported average income per capita was Kuwait, with $3,290. In second place was the United States, with $3,020, third was Sweden, a fair way behind, with $2,040. The bottom three were Ethiopia, Upper Volta (now Burkina Faso), and Malawi, with GNP per capita estimates of $50, $45 and $40 respectively (GNI used to be called GNP). It probably comes as no surprise that today Norway is top. Malawi is still bottom.

How corruption affects businesses around the world, in 5 charts

Ravi Kumar's picture


We know corruption in developing countries affects poor people the most. It also impacts firms in many ways.

Here are five charts showing how corruption is affecting businesses from South Asia to Sub-Saharan Africa.

What makes a data visualization memorable?

Tariq Khokhar's picture

Image via Borkin et al

It may surprise some readers that’s there’s a thriving academic discipline concerned with quantifying the effectiveness of information visualization techniques. As John Wihbey notes, “by applying some cognitive and behavioral science”, we can get beyond some of the “rules”, and often subjective criticisms of visualization to see what works in an experimental setting.

In a fascinating paper, Michelle Borkin asked subjects to look at a selection of visualizations from the Massviz corpus while tracking their eye movements, and then later asked them to describe in detail what they recalled of the visualizations.


So what did the study find?


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