Country and Region: Eastern Asia

China, Hong Kong, Macao, Democratic People’s Republic of Korea, Japan, Mongolia, Republic of Korea

Four steps to precision public health

Curated on Posted on by Stefaan Verhulst
Scott F. Dowell, David Blazes & Susan Desmond-Hellmann at Nature: “When domestic transmission of Zika virus was confirmed in the United States in July 2016, the entire country was not declared at risk — nor even the entire state of Florida. Instead, precise surveillance defined two at-risk areas of Miami-Dade County, neighbourhoods measuring just 2.6 and 3.9 square kilometres. Travel advisories and mosquito control focused on those regions. Six weeks later, ongoing surveillance convinced officials to lift restrictions in one area and expand the other.

By contrast, a campaign against yellow fever launched this year in sub-Saharan Africa defines risk at the level of entire nations, often hundreds of thousands of square kilometres. More granular assessments have been deemed too complex.

The use of data to guide interventions that benefit populations more efficiently is a strategy we call precision public health. It requires robust primary surveillance data, rapid application of sophisticated analytics to track the geographical distribution of disease, and the capacity to act on such information1.

The availability and use of precise data is becoming the norm in wealthy countries. But large swathes of the developing world are not reaping its advantages. In Guinea, it took months to assemble enough data to clearly identify the start of the largest Ebola outbreak in history. This should take days. Sub-Saharan Africa has the highest rates of childhood mortality in the world; it is also where we know the least about causes of death…..

The value of precise disease tracking was baked into epidemiology from the start. In 1854, John Snow famously located cholera cases in London. His mapping of the spread of infection through contaminated water dealt a blow to the idea that the disease was caused by bad air. These days, people and pathogens move across the globe swiftly and in great numbers. In 2009, the H1N1 ‘swine flu’ influenza virus took just 35 days to spread from Mexico and the United States to China, South Korea and 12 other countries…

The public-health community is sharing more data faster; expectations are higher than ever that data will be available from clinical trials and from disease surveillance. In the past two years, the US National Institutes of Health, the Wellcome Trust in London and the Gates Foundation have all instituted open data policies for their grant recipients, and leading journals have declared that sharing data during disease emergencies will not impede later publication.

Meanwhile, improved analysis, data visualization and machine learning have expanded our ability to use disparate data sources to decide what to do. A study published last year4 used precise geospatial modelling to infer that insecticide-treated bed nets were the single most influential intervention in the rapid decline of malaria.

However, in many parts of the developing world, there are still hurdles to the collection, analysis and use of more precise public-health data. Work towards malaria elimination in South Africa, for example, has depended largely on paper reporting forms, which are collected and entered manually each week by dozens of subdistricts, and eventually analysed at the province level. This process would be much faster if field workers filed reports from mobile phones.

Sources: Ref. 8/Bill & Melinda Gates Foundation

…Frontline workers should not find themselves frustrated by global programmes that fail to take into account data on local circumstances. Wherever they live — in a village, city or country, in the global south or north — people have the right to public-health decisions that are based on the best data and science possible, that minimize risk and cost, and maximize health in their communities…(More)”

Solving some of the world’s toughest problems with the Global Open Policy Report

Curated on Posted on by Stefaan Verhulst

 at Creative Commons: “Open Policy is when governments, institutions, and non-profits enact policies and legislation that makes content, knowledge, or data they produce or fund available under a permissive license to allow reuse, revision, remix, retention, and redistribution. This promotes innovation, access, and equity in areas of education, data, software, heritage, cultural content, science, and academia.

For several years, Creative Commons has been tracking the spread of open policies around the world. And now, with the new Global Open Policy Report (PDF) by the Open Policy Network, we’re able to provide a systematic overview of open policy development.

screen-shot-2016-12-02-at-5-57-09-pmThe first-of-its-kind report gives an overview of open policies in 38 countries, across four sectors: education, science, data and heritage. The report includes an Open Policy Index and regional impact and local case studies from Africa, the Middle East, Asia, Australia, Latin America, Europe, and North America. The index measures open policy strength on two scales: policy strength and scope, and level of policy implementation. The index was developed by researchers from CommonSphere, a partner organization of CC Japan.

The Open Policy Index scores were used to classify countries as either Leading, Mid-Way, or Delayed in open policy development. The ten countries with the highest scores are Argentina, Bolivia, Chile, France, Kyrgyzstan, New Zealand, Poland, South Korea, Tanzania, and Uruguay…(More)

Maybe the Internet Isn’t a Fantastic Tool for Democracy After All

Curated on Posted on by Stefaan Verhulst

 in NewYork Magazine: “My favorite story about the internet is the one about the anonymous Japanese guy who liberated Czechoslovakia. In 1989, as open dissent was spreading across the country, dissidents were attempting to coordinate efforts outside the watchful eye of Czechoslovak state security. The internet was a nascent technology, and the cops didn’t use it; modems were banned, and activists were able to use only those they could smuggle over the border, one at a time. Enter our Japanese guy. Bruce Sterling, who first told the story of the Japanese guy in a 1995 Wired article, says he talked to four different people who’d met the quiet stranger, but no one knew his name. What really mattered, anyway, is what he brought with him: “a valise full of brand-new and unmarked 2400-baud Taiwanese modems,” which he handed over to a group of engineering students in Prague before walking away. “The students,” Sterling would later write, “immediately used these red-hot 2400-baud scorcher modems to circulate manifestos, declarations of solidarity, rumors, and riot news.” Unrest expanded, the opposition grew, and within months, the Communist regime collapsed.

Is it true? Were free modems the catalyst for the Velvet Revolution? Probably not. But it’s a good story, the kind whose logic and lesson have become so widely understood — and so foundational to the worldview of Silicon Valley — as to make its truth irrelevant. Isn’t the best way to fortify the town square by giving more people access to it? And isn’t it nice to know, as one storied institution and industry after another falls to the internet’s disrupting sword, that everything will be okay in the end — that there might be some growing pains, but connecting billions of people to one another is both inevitable and good? Free speech will expand, democracy will flower, and we’ll all be rich enough to own MacBooks. The new princes of Silicon Valley will lead us into the rational, algorithmically enhanced, globally free future.

Or, they were going to, until earlier this month. The question we face now is: What happens when the industry destroyed is professional politics, the institutions leveled are the same few that prop up liberal democracy, and the values the internet disseminates are racism, nationalism, and demagoguery?

Powerful undemocratic states like China and Russia have for a while now put the internet to use to mislead the public, create the illusion of mass support, and either render opposition invisible or expose it to targeting…(More)”

For Better Citizenship, Scratch and Win

Curated on Posted on by Stefaan Verhulst

Tina Rosenberg in the New York Times: “China, with its largely cash economy, has a huge problem with tax evasion. Not just grand tax evasion, but the everyday “no receipt, please” kind, even though there have been harsh penalties: Before 2011, some forms of tax evasion were even punishable by death.

The country needed a different approach. So what did it do to get people to pay sales tax?
A. Hired a force of inspectors to raid restaurants and stores to catch people skipping the receipt, accompanied by big fines and prison terms.
B. Started an “It’s a citizen’s duty to denounce” exhortation campaign.
C. Installed cameras to photograph every transaction.
D. Turned receipts into scratch-off lottery games.

One of these things is not like the other, and that’s the answer: D. Instead of punishing under-the-table transactions, China wisely decided to encouragelegal transactions by starting a receipt lottery. Many places have done this — Brazil, Chile, Malta, Portugal, Slovakia and Taiwan, among others. In Taiwan, for example, every month the tax authorities post lottery numbers; match a few numbers for a small prize, or all of them to win more than $300,000.

China took it further. Customers need not store their receipts and wait until the end of the month to see if they’ve won money. Gratification is instant: Each receipt, known as a fapiao, is a scratch-off lottery ticket. People still game the system, but much less. The fapiao system has greatly raised collections of sales tax, business income tax and total tax. And it’s cheap to administer: one study found that new tax revenue totaled 30 times (PDF) the cost of the lottery prizes.

When a receipt is a lottery ticket, people ask for a receipt. They hope to get money, but just as important, they like to play games. Those axioms apply around the globe.

“We have groups that say: we can give out an incentive to our customers worth $15,” said Aron Ezra, chief executive of OfferCraft, an American company that designs games for businesses. “They could do that and have everyone get an incentive for $15. But they’d get better results for the same average price by having variability — some get $10, some get $100.” The lottery makes it exciting.

The huge popularity of lotteries shows this. Another example is the Save to Win program, which credit unions are using in seven states. Microscopic interest rates weren’t enough to get low-income customers to save. So instead, for every $25 they put into a savings account, depositors get one lottery entry. They can win a grand prize — in some states, $10,000 — or $100 prizes every month.

What else could lotteries do?

Los Angeles and Philadelphia have been the sites of experiments to increase dismal voter turnout in local elections by choosing a voter at random to win a large cash prize. In May 2015, the Southwest Voter Registration Education Project in Los Angeles offered $25,000 to a random voter in one district during a school board election, in a project named Voteria.

Health-related lotteries aren’t new. In 1957, Glasgow held a mass X-ray campaign to diagnose tuberculosis. Health officials aimed to X-ray 250,000 people and in the end got three times that many. One reason for the enthusiasm: a weekly prize draw. A lovely vintage newsreel reported on the campaign.

More than 50 years later, researchers set up a lottery among young adults in Lesotho, designed to promote safe sex practices. Every four months the subjects were tested for two sexually transmitted diseases, syphilis and trichonomiasis. A negative test got them entered into a lottery to win either $50 (equivalent to a week’s average salary) or $100. The idea was to see if incentives to reduce the spread of syphilis would also protect against HIV.

The results were significant — a 21.4 percent reduction in the rate of new H.I.V. infections, and a 3.4 percent lower prevalence rate of HIV in the treatment group after two years. And the effect was lasting — the gains persisted a year after the experiment ended. The lottery worked in large part because it was most attractive to those most at risk: many people who take sexual risks also enjoy taking monetary risks, and might be eager to play a lottery.

The authors wrote in a blog post: “To the best of our knowledge, this is the first H.I.V. prevention intervention focusing on sexual behavior changes (as opposed to medical interventions) to have been demonstrated to lead to a significant reduction in H.I.V. incidence, the ultimate objective of any H.I.V. prevention intervention.”…(More)”

Putting the brakes on traffic violations in China

Curated on Posted on by Stefaan Verhulst

Springwise: “When it comes to public awareness and behavior change campaigns, it’s always interesting to see how organizations effect change. Last year, we covered a Russian nonprofit which uses hologram projections of disabled drivers to ward off those tempted to take disabled parking spaces. Road deaths in China have long been a cause for concern with the WHO estimating that 250,000 people were killed on China’s roads, amongst them over 10,000 children. This figure is disputed by Chinese authorities, who put the figure around 60,000, but it is clearly a serious problem. The latest rising death toll comes from non-motorized vehicles, in particular e-bikes. Some estimates put the number of e-bikes in use in China at over 200 million. ….

In response to this alarming figure, Chinese traffic police have been trialling two interesting strategies to improve road safety, focussing in on non-motorized vehicles. The more traditional of the strategies was an online radio broadcast earlier on this month which detailed the various aspects of their law enforcement process. 210,000 people tuned in for the one hour broadcast.

The second, earlier this year, was a novel approach that – to some extent – gamified traffic regulation. Officials handed out 15,000, ’50 percent discount coupons’ to people breaking traffic rules incurring a fine. The coupons had the highway code printed on the reverse. Rule-breakers were asked ‘on the spot’ questions about the highway code which, if answered correctly, resulted in the fine being lifted altogether. ‘Contestants’ were even allowed to phone a friend. Not quite a “get out jail free card” but a good incentive for learning the highway code….(More)”

‘Homo sapiens is an obsolete algorithm’

Curated on Posted on by Stefaan Verhulst

Extract from Homo Deus: A Brief History of Tomorrow by Yuval Noah Harari: “There’s an emerging market called Dataism, which venerates neither gods nor man – it worships data. From a Dataist perspective, we may interpret the entire human species as a single data-processing system, with individual humans serving as its chips. If so, we can also understand the whole of history as a process of improving the efficiency of this system, through four basic methods:

1. Increasing the number of processors. A city of 100,000 people has more computing power than a village of 1,000 people.

2. Increasing the variety of processors. Different processors may use diverse ways to calculate and analyse data. Using several kinds of processors in a single system may therefore increase its dynamism and creativity. A conversation between a peasant, a priest and a physician may produce novel ideas that would never emerge from a conversation between three hunter-gatherers.

3. Increasing the number of connections between processors. There is little point in increasing the mere number and variety of processors if they are poorly connected. A trade network linking ten cities is likely to result in many more economic, technological and social innovations than ten isolated cities.

4. Increasing the freedom of movement along existing connections. Connecting processors is hardly useful if data cannot flow freely. Just building roads between ten cities won’t be very useful if they are plagued by robbers, or if some autocratic despot doesn’t allow merchants and travellers to move as they wish.
These four methods often contradict one another. The greater the number and variety of processors, the harder it is to freely connect them. The construction of the sapiens data-processing system accordingly passed through four main stages, each of which was characterised by an emphasis on different methods.

The first stage began with the cognitive revolution, which made it possible to connect unlimited sapiens into a single data-processing network. This gave sapiens an advantage over all other human and animal species. Although there is a limit to the number of Neanderthals, chimpanzees or elephants you can connect to the same net, there is no limit to the number of sapiens.

Sapiens used their advantage in data processing to overrun the entire world. However, as they spread into different lands and climates they lost touch with one another, and underwent diverse cultural transformations. The result was an immense variety of human cultures, each with its own lifestyle, behaviour patterns and world view. Hence the first phase of history involved an increase in the number and variety of human processors, at the expense of connectivity: 20,000 years ago there were many more sapiens than 70,000 years ago, and sapiens in Europe processed information differently from sapiens in China. However, there were no connections between people in Europe and China, and it would have seemed utterly impossible that all sapiens may one day be part of a single data-processing web.
The second stage began with agriculture and continued until the invention of writing and money. Agriculture accelerated demographic growth, so the number of human processors rose sharply, while simultaneously enabling many more people to live together in the same place, thereby generating dense local networks that contained an unprecedented number of processors. In addition, agriculture created new incentives and opportunities for different networks to trade and communicate.

Nevertheless, during the second phase, centrifugal forces remained predominant. In the absence of writing and money, humans could not establish cities, kingdoms or empires. Humankind was still divided into innumerable little tribes, each with its own lifestyle and world view. Uniting the whole of humankind was not even a fantasy.
The third stage kicked off with the appearance of writing and money about 5,000 years ago, and lasted until the beginning of the scientific revolution. Thanks to writing and money, the gravitational field of human co-operation finally overpowered the centrifugal forces. Human groups bonded and merged to form cities and kingdoms. Political and commercial links between different cities and kingdoms also tightened. At least since the first millennium BC – when coinage, empires, and universal religions appeared – humans began to consciously dream about forging a single network that would encompass the entire globe.

This dream became a reality during the fourth and last stage of history, which began around 1492. Early modern explorers, conquerors and traders wove the first thin threads that encompassed the whole world. In the late modern period, these threads were made stronger and denser, so that the spider’s web of Columbus’s days became the steel and asphalt grid of the 21st century. Even more importantly, information was allowed to flow increasingly freely along this global grid. When Columbus first hooked up the Eurasian net to the American net, only a few bits of data could cross the ocean each year, running the gauntlet of cultural prejudices, strict censorship and political repression.

But as the years went by, the free market, the scientific community, the rule of law and the spread of democracy all helped to lift the barriers. We often imagine that democracy and the free market won because they were “good”. In truth, they won because they improved the global data-processing system.

So over the last 70,000 years humankind first spread out, then separated into distinct groups and finally merged again. Yet the process of unification did not take us back to the beginning. When the different human groups fused into the global village of today, each brought along its unique legacy of thoughts, tools and behaviours, which it collected and developed along the way. Our modern larders are now stuffed with Middle Eastern wheat, Andean potatoes, New Guinean sugar and Ethiopian coffee. Similarly, our language, religion, music and politics are replete with heirlooms from across the planet.
If humankind is indeed a single data-processing system, what is its output? Dataists would say that its output will be the creation of a new and even more efficient data-processing system, called the Internet-of-All-Things. Once this mission is accomplished, Homo sapiens will vanish….(More)“

5 Crowdsourced News Platforms Shaping The Future of Journalism and Reporting

Curated on Posted on by Stefaan Verhulst

 at Crowdsourcing Week: “We are exposed to a myriad of news and updates worldwide. As the crowd becomes moreinvolved in providing information, adopting that ‘upload mindset’ coined by Will Merritt ofZooppa, access to all kinds of data is a few taps and clicks away….

Google News Lab – Better reporting and insightful storytelling

crowdsourced-news-platforms-googlenewslabs

Last week, Google announced its own crowdsourced news platform dubbed News Lab as part of their efforts “to empower innovation at the intersection of technology and media.”

Scouting for real-time stories, updates, and breaking news is much easier and systematize for journalists worldwide. They can use Google’s tools for better reporting, data for insightful storytelling and programs to focus on the future of media, tackling this initiative in three ways.

“There’s a revolution in data journalism happening in newsrooms today, as more data sets and more tools for analysis are allowing journalists to create insights that were never before possible,” Google said.

Grasswire – first-hand information in real-time

crowdsourced-news-platforms-grasswire

The design looks bleak and simple, but the site itself is rich with content—first-hand information crowdsourced from Twitter users in real-time and verified. Austen Allred, co-founder of Grasswire was inspired to develop the platform after his “minor slipup” as the American Journalism Review (AJR) puts it, when he missed his train out of Shanghai that actually saved his life.

“The bullet train Allred was supposed to be on collided with another train in the Wenzhou area ofChina’s Zhejiang province,” AJR wrote. “Of the 1,630 passengers, 40 died, and another 210 were injured.” The accident happened in 2011. Unfortunately, the Chinese government made some cover upon the incident, which frustrated Allred in finding first-hand information.

After almost four years, Grasswire was launched, a website that collects real-time information from users for breaking news infused with crowdsourcing model afterward. “It’s since grown into a more complex interface, allowing users to curate selected news tweets by voting and verifying information with a fact-checking system,” AJR wrote, which made the verification of data open and systematized.

Rappler – Project Agos: a technology for disaster risk reduction

crowdsourced-news-platforms-projectagos

The Philippines is a favorite hub for typhoons. The aftermath of typhoon Haiyan was exceedingly disastrous. But the crowds were steadfast in uploading and sharing information and crowdsourcing became mainstream during the relief operations. Maria Ressa said that they had to educate netizens to use the appropriate hashtags for years (#nameoftyphoonPH, e.g. #YolandaPH) for typhoons to collect data on social media channels easily.

Education and preparation can mitigate the risks and save lives if we utilize the right technology and act accordingly. In her blog, After Haiyan: Crisis management and beyond, Maria wrote, “We need to educate not just the first responders and local government officials, but more importantly, the people in the path of the storms.” …

China’s CCDI app – Crowdsourcing political reports to crack down corruption practices

crowdsourced-news-platforms-ccdiapp

In China, if you want to mitigate or possible, eradicate corrupt practices, then there’s an app for that.China launched its own anti-corruption app called, Central Commission for Discipline InspectionWebsite App, allowing the public to upload text messages, photos and videos of Chinese officials’ any corrupt practices.

The platform was released by the government agency, Central Committee for Discipline Inspection.Nervous in case you’ll be tracked as a whistleblower? Interestingly, anyone can report anonymously.China Daily said, “the anti-corruption authorities received more than 1,000 public reports, and nearly70 percent were communicated via snapshots, text messages or videos uploaded,” since its released.Kenya has its own version, too, called Ushahidi using crowdmapping, and India’s I Paid a Bribe.

Newzulu – share news, publish and get paid

crowdsourced-news-platforms-newzulu

While journalists can get fresh insights from Google News Labs, the crowd can get real-time verified news from Grasswire, and CCDI is open for public, Newzulu crowdsourced news platforms doesn’t just invite the crowd to share news, they can also publish and get paid.

It’s “a community of over 150,000 professional and citizen journalists who share and break news to the world as it happens,” originally based in Sydney. Anyone can submit stories, photos, videos, and even stream live….(More)”

Smart Cities – International Case Studies

Curated on Posted on by Stefaan Verhulst

“These case studies were developed by the Inter-American Development Bank (IDB), in association with the Korea Research Institute for Human Settlements (KRIHS).

Anyang, Korea Anyang, a 600,000 population city near Seoul is developing international recognition on its smart city project that has been implemented incrementally since 2003. This initiative began with the Bus Information System to enhance citizen’s convenience at first, and has been expanding its domain into wider Intelligent Transport System as well as crime and disaster prevention in an integrated manner. Anyang is considered a benchmark for smart city with a 2012 Presidential Award in Korea and receives large number of international visits. Anyang’s Integrated Operation and Control Center (IOCC) acts as the platform that gathers, analyzes and distributes information for mobility, disasters management and crime. Anyang is currently utilizing big data for policy development and is continuing its endeavor to expand its smart city services into areas such as waste and air quality management. Download Anyang case study

Medellín, Colombia Medellin is a city that went from being known for its security problems to being an international referent of technological and social innovation, urban transformation, equity, and citizen participation. This report shows how Medellin has implemented a series of strategies that have made it a smart city that is developing capacity and organic structure in the entities that control mobility, the environment, and security. In addition, these initiatives have created mechanisms to communicate and interact with citizens in order to promote continuous improvement of smart services.

Through the Program “MDE: Medellin Smart City,” Medellin is implementing projects to create free Internet access zones, community centers, a Mi-Medellin co-creation portal, open data, online transactions, and other services. Another strategy is the creation of the Smart Mobility System which, through the use of technology, has achieved a reduction in the number of accidents, improvement in mobility, and a reduction in incident response time. Download Medellin case study

Namyangju, Korea…

Orlando, U.S.…

Pangyo, Korea…

Rio de Janeiro, Brazil… 

Santander, España…

Singapore…

Songdo, Korea…

Tel Aviv, Israel… (More)”

Are we too obsessed with data?

Curated on Posted on by Stefaan Verhulst

Lauren Woodman of Nethope:” Data: Everyone’s talking about it, everyone wants more of it….

Still, I’d posit that we’re too obsessed with data. Not just us in the humanitarian space, of course, but everyone. How many likes did that Facebook post get? How many airline miles did I fly last year? How many hours of sleep did I get last week?…

The problem is that data by itself isn’t that helpful: information is.

We need to develop a new obsession, around making sure that data is actionable, that it is relevant in the context in which we work, and on making sure that we’re using the data as effectively as we are collecting it.

In my talk at ICT4D, I referenced the example of 7-Eleven in Japan. In the 1970s, 7-Eleven in Japan became independent from its parent, Southland Corporation. The CEO had to build a viable business in a tough economy. Every month, each store manager would receive reams of data, but it wasn’t effective until the CEO stripped out the noise and provided just four critical data points that had the greatest relevance to drive the local purchasing that each store was empowered to do on their own.

Those points – what sold the day before, what sold the same day a year ago, what sold the last time the weather was the same, and what other stores sold the day before – were transformative. Within a year, 7-Eleven had turned a corner, and for 30 years, remained the most profitable retailer in Japan. It wasn’t about the Big Data; it was figuring out what data was relevant, actionable and empowered local managers to make nimble decisions.

For our sector to get there, we need to do the front-end work that transforms our data into information that we can use. That, after all, is where the magic happens.

A few examples provide more clarity as to why this is so critical.

We know that adaptive decision-making requires access to real-time data. By knowing what is happening in real-time, or near-real-time, we can adjust our approaches and interventions to be most impactful. But to do so, our data has to be accessible to those that are empowered to make decisions. To achieve that, we have to make investments in training, infrastructure, and capacity-building at the organizational level.  But in the nonprofit sector, such investments are rarely supported by donors and beyond the limited unrestricted funding available to most most organizations. As a result, the sector has, so far, been able to take only limited steps towards effective data usage, hampering our ability to transform the massive amounts of data we have into useful information.

Another big question about data, and particularly in the humanitarian space, is whether it should be open, closed or somewhere in between. Privacy is certainly paramount, and for types of data, the need for close protection is very clear. For many other data, however, the rules are far less clear. Every country has its own rules about how data can and cannot be used or shared, and more work is needed to provide clarity and predictability so that appropriate data-sharing can evolve.

And perhaps more importantly, we need to think about not just the data, but the use cases.  Most of us would agree, for example, that sharing information during a crisis situation can be hugely beneficial to the people and the communities we serve – but in a world where rules are unclear, that ambiguity limits what we can do with the data we have. Here again, the context in which data will be used is critically important.

Finally, all of in the sector have to realize that the journey to transforming data into information is one we’re on together. We have to be willing to give and take. Having data is great; sharing information is better. Sometimes, we have to co-create that basis to ensure we all benefit….(More)”

The Open Data Barometer (3rd edition)

Curated on Posted on by Stefaan Verhulst

The Open Data Barometer: “Once the preserve of academics and statisticians, data has become a development cause embraced by everyone from grassroots activists to the UN Secretary-General. There’s now a clear understanding that we need robust data to drive democracy and development — and a lot of it.

Last year, the world agreed the Sustainable Development Goals (SDGs) — seventeen global commitments that set an ambitious agenda to end poverty, fight inequality and tackle climate change by 2030. Recognising that good data is essential to the success of the SDGs, the Global Partnership for Sustainable Development Data and the International Open Data Charter were launched as the SDGs were unveiled. These alliances mean the “data revolution” now has over 100 champions willing to fight for it. Meanwhile, Africa adopted the African Data Consensus — a roadmap to improving data standards and availability in a region that has notoriously struggled to capture even basic information such as birth registration.

But while much has been made of the need for bigger and better data to power the SDGs, this year’s Barometer follows the lead set by the International Open Data Charter by focusing on how much of this data will be openly available to the public.

Open data is essential to building accountable and effective institutions, and to ensuring public access to information — both goals of SDG 16. It is also essential for meaningful monitoring of progress on all 169 SDG targets. Yet the promise and possibilities offered by opening up data to journalists, human rights defenders, parliamentarians, and citizens at large go far beyond even these….

At a glance, here are this year’s key findings on the state of open data around the world:

    • Open data is entering the mainstream.The majority of the countries in the survey (55%) now have an open data initiative in place and a national data catalogue providing access to datasets available for re-use. Moreover, new open data initiatives are getting underway or are promised for the near future in a number of countries, including Ecuador, Jamaica, St. Lucia, Nepal, Thailand, Botswana, Ethiopia, Nigeria, Rwanda and Uganda. Demand is high: civil society and the tech community are using government data in 93% of countries surveyed, even in countries where that data is not yet fully open.
    • Despite this, there’s been little to no progress on the number of truly open datasets around the world.Even with the rapid spread of open government data plans and policies, too much critical data remains locked in government filing cabinets. For example, only two countries publish acceptable detailed open public spending data. Of all 1,380 government datasets surveyed, almost 90% are still closed — roughly the same as in the last edition of the Open Data Barometer (when only 130 out of 1,290 datasets, or 10%, were open). What is more, much of the approximately 10% of data that meets the open definition is of poor quality, making it difficult for potential data users to access, process and work with it effectively.
    • “Open-washing” is jeopardising progress. Many governments have advertised their open data policies as a way to burnish their democratic and transparent credentials. But open data, while extremely important, is just one component of a responsive and accountable government. Open data initiatives cannot be effective if not supported by a culture of openness where citizens are encouraged to ask questions and engage, and supported by a legal framework. Disturbingly, in this edition we saw a backslide on freedom of information, transparency, accountability, and privacy indicators in some countries. Until all these factors are in place, open data cannot be a true SDG accelerator.
    • Implementation and resourcing are the weakest links.Progress on the Barometer’s implementation and impact indicators has stalled or even gone into reverse in some cases. Open data can result in net savings for the public purse, but getting individual ministries to allocate the budget and staff needed to publish their data is often an uphill battle, and investment in building user capacity (both inside and outside of government) is scarce. Open data is not yet entrenched in law or policy, and the legal frameworks supporting most open data initiatives are weak. This is a symptom of the tendency of governments to view open data as a fad or experiment with little to no long-term strategy behind its implementation. This results in haphazard implementation, weak demand and limited impact.
    • The gap between data haves and have-nots needs urgent attention.Twenty-six of the top 30 countries in the ranking are high-income countries. Half of open datasets in our study are found in just the top 10 OECD countries, while almost none are in African countries. As the UN pointed out last year, such gaps could create “a whole new inequality frontier” if allowed to persist. Open data champions in several developing countries have launched fledgling initiatives, but too often those good open data intentions are not adequately resourced, resulting in weak momentum and limited success.
    • Governments at the top of the Barometer are being challenged by a new generation of open data adopters. Traditional open data stalwarts such as the USA and UK have seen their rate of progress on open data slow, signalling that new political will and momentum may be needed as more difficult elements of open data are tackled. Fortunately, a new generation of open data adopters, including France, Canada, Mexico, Uruguay, South Korea and the Philippines, are starting to challenge the ranking leaders and are adopting a leadership attitude in their respective regions. The International Open Data Charter could be an important vehicle to sustain and increase momentum in challenger countries, while also stimulating renewed energy in traditional open data leaders….(More)”
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