While these improvements are impressive, the national level data often mask inequalities in skilled birth assistance within countries. There may be gaps within a country, for example, where wealthy women might have better access than women from poor households. According to the World Health Organization, "The high number of maternal deaths in some areas of the world reflects inequities in access to health services, and highlights the gap between rich and poor."
An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data's full potential being realized?
A news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom (UK), poor data quality is hindering the government's Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.
Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up "dirty data" (Dasu and Johnson, 2003).
An unprecedented number of individuals and organizations are finding ways to explore, interpret and use Open Data. Public agencies are hosting Open Data events such as meetups, hackathons and data dives. The potential of these initiatives is great, including support for economic development (McKinsey, 2013), anti-corruption (European Public Sector Information Platform, 2014) and accountability (Open Government Partnership, 2012). But is Open Data’s full potential being realized?
A news item from Computer Weekly casts doubt. A recent report notes that, in the United Kingdom (UK), poor data quality is hindering the government’s Open Data program. The report goes on to explain that – in an effort to make the public sector more transparent and accountable – UK public bodies have been publishing spending records every month since November 2010. The authors of the report, who conducted an analysis of 50 spending-related data releases by the Cabinet Office since May 2010, found that that the data was of such poor quality that using it would require advanced computer skills.
Far from being a one-off problem, research suggests that this issue is ubiquitous and endemic. Some estimates indicate that as much as 80 percent of the time and cost of an analytics project is attributable to the need to clean up “dirty data” (Dasu and Johnson, 2003).
In addition to data quality issues, data provenance can be difficult to determine. Knowing where data originates and by what means it has been disclosed is key to being able to trust data. If end users do not trust data, they are unlikely to believe they can rely upon the information for accountability purposes. Establishing data provenance does not “spring full blown from the head of Zeus.” It entails a good deal of effort undertaking such activities as enriching data with metadata – data about data – such as the date of creation, the creator of the data, who has had access to the data over time and ensuring that both data and metadata remain unalterable.
These rates are falling faster than at any other time during the past two decades: from a 1.2% annual reduction during 1990-1995 to a 4% reduction during 2005-2013.
More children making it to their fifth birthday
The major improvements in under-5 child survival since 1990 are attributable to better access to affordable, quality health care, as well as the expansion of health programs that reach the most vulnerable newborns and children.
The 49% drop – from 90 deaths per 1,000 live births in 1990, to 46 deaths in 2013 – means that a baby born today has a dramatically better chance of survival to age 5 compared with a baby born in 1990.
More progress needed to achieve the global Millennium Development Goal 4 target
Four out of 6 World Bank Group regions are on track to achieve Millennium Development Goal 4 (MDG 4), which is to reduce the under-5 mortality rate by two-thirds by 2015. Sub-Saharan Africa and South Asia are two regions where the rates of decline remain insufficient to reach MDG 4 on a global scale. In 2013, the highest under-5 mortality rate was in Sub-Saharan Africa, where there were 92 deaths per 1,000 live births or where 1 in 11 children die before reaching the age of 5.
How are individuals and organizations taking advantage of the data that governments are publishing? This is part of a series looking at how data are being used for social good. Last time we covered Nigeria’s Follow the Money Initiative, this time we’re heading to East Africa.
In Kenya, Data Science, LTD (www.datascience.co.ke) is a data analysis and research company providing services to government, local organizations, and businesses. The company seeks to promote greater understanding and use of available data to gain insights for better planning, resource allocation, and entrepreneurship. This blog post is based on a recent Google Hangout discussion with Data Science, LTD founder Linet Kwamboka.
So what is it like being a data analysis company in Kenya, and what can others learn from Linet’s experience?
Open data roots
Linet worked on the World Bank supportedopendata.go.ke as a project manager in the lead up to the initiative's launch in 2011. The company works with clients seeking to utilize data to make better decisions. They include private companies involved in marketing, jobs, retail, and consumer products. With government and civil society clients, the focus is to improve decision-making that lead to better public services and advocacy efforts.
Overcoming gaps in data
Linet has learned that the tasks of sourcing, analyzing, and transforming data into more readily consumed and actionable forms can take a significant amount of effort and time. In many situations, the data simply do not exist or are out of date.
We’d like to hear your ideas of how Open Data could be used to help eradicate poverty and improve public services in rural India.
We are launching a co-creation and crowdsourcing effort on “Open Data Solutions for Rural Development and Inclusive Growth in Andhra Pradesh and Telangana.” This is linked to an ideation workshop on September 4 in Hyderabad, which will bring together key stakeholders from these two Indian States, including government officials, development practitioners, health, education, agriculture, retail and other subject matter experts, entrepreneurs, ICT firms, and academic and research institutions.
The workshop will consist of two parts. The first part will focus on knowledge sharing of global and Indian good practices, successful solutions and lessons learned, as well as collecting feedback from participants and discussing priorities for the Open Data initiative in the rural space. There will be presentations by government officials and World Bank experts with examples from around the world, in India and within the two states.
//Rasna Warah, journalist and independent researcher, analyzes key themes and conclusions emerging from a July 2014 workshop on the role of ICTs in statebuilding and peacebuilding in Africa.
Information and communication technologies (ICTs) and new media have often been viewed as a solution to Africa’s myriad problems, including poor governance, conflict and poverty. From the M-Pesa mobile banking system in Kenya to the aggressive adoption of e-governance in Rwanda, the role of ICTs in improving Africa’s economy and governance systems cannot be underestimated.
However, while innovations and the use of ICTs on the African continent are on the rise, they have not necessarily reduced the threat of conflict. Evidence of a direct correlation between increased ICT penetration and innovations and peace and stability on the continent is sketchy at best, and quite often anecdotal, based usually on the innovators’ own assessment of the technology and its impact. For example, the Ushahidi platform, which has been praised internationally for allowing conflict-prone countries to track sites of violence and conflict within a region, and which played an important role in identifying areas of conflict during Kenya’s 2008 post-election violence, has not helped the country to significantly reduce the prospect of future conflict. On the contrary, the country has witnessed increasing terrorism-related violence and insecurity in recent months. Such innovations point to the fact that innovative technology by itself cannot reduce conflict if the social, economic and political conditions in a country are not conducive to peace and stability. It also shows that when the “hardware,” such as the police force and security and intelligence services are substandard, no amount of technology can prevent the threat of violence, conflict or insecurity.
Follow the Money (http://followthemoneyng.org/) is a community action organization that leverages open budget and aid spending data from the Nigerian government and its aid partners. The organization also advocates for specific issues that impact communities, most recently, in the Zamfara State.
Follow the Money activists collect, publish, and visualize data, then connect findings to national and global social media networks in order to bring government attention to crises on the ground that require resources or immediate action. Once visualized, the data become a resource for citizens in affected communities to track government expenditures against actual outcomes.
The team has tackled issues like lead poisoning, flood relief, and most recently, education. They also host partners with other organizations, like Indigo Trust U.K. to offer regular data literacy events for other non-profits, journalists, government officials, legal professionals, and open data activists.
As International Youth Day approaches next week, I've found myself wondering what are the primary issues affecting young people throughout the world. One topic that seems to be a common thread across regions and income groups is youth unemployment, which remains more than double the rate of unemployment for the general population.
It's well known that youth populations are on the rise in the developing world, particularly. What does this mean for the millions of young people who enter the workforce every year?
Youth unemployment is defined as individuals aged 15-24 who are without work, but are currently available for work and have sought it in the recent past. Below, I analyze data from World Development Indicators. These data come originally from the International Labour Organization (ILO), which produces its own estimates that are harmonized to account for inconsistences in the data source, definition, and methodologies. ILO estimates may differ from official unemployment statistics produced by national statistical offices.
Asia maintains lowest levels of youth unemployment
Regional levels of youth unemployment have barely changed in the past two decades. South Asia and East Asia and Pacific have maintained the lowest rates, hovering at about 10% for the last 20 years. Meanwhile, the Middle East and North Africa region has had the highest rate of youth unemployment since the 1990s, and clocked in a figure of about 27% in 2012. The biggest increase in the youth unemployment rate has been in the Europe and Central Asia region, where after years of steady decline rates have risen to over 20% since the financial crisis in 2008.
From the short videoconference presentations we heard from five country officials, we learned that Open Data is already making an impact.
Examples of Open Data's use and impact in India, Russia, Macedonia, Ghana, and Mexico
We first heard from Rajendra Kumar, Joint Secretary (eGov) at the Department of Electronics and Information Technology of India. "Ever since India launched its Open Government Data Platform, we've witnessed more government participation and interest – across ministries and state governments," stated Kumar. He also pointed to an often underappreciated result of open data programs: increased data sharing among government agencies.
"Open Data is a major source for growth in Russia, especially for Internet and IT companies," commented Ekaterina Shapochka, Advisor to the Russian Minister of Open Government. She also added that Open Data could help increase the quality of government services to its citizens.