Government data does not mean data governance: Lessons learned from a public sector application audit

Curated on Posted on by Stefaan Verhulst

Paper by Nik Thompson, Ravi Ravindran, and Salvatore Nicosia: “Public sector agencies routinely store large volumes of information about individuals in the community. The storage and analysis of this information benefits society, as it enables relevant agencies to make better informed decisions and to address the individual’s needs more appropriately. Members of the public often assume that the authorities are well equipped to handle personal data; however, due to implementation errors and lack of data governance, this is not always the case. This paper reports on an audit conducted in Western Australia, focusing on findings in the Police Firearms Management System and the Department of Health Information System. In the case of the Police, the audit revealed numerous data protection issues leading the auditors to report that they had no confidence in the accuracy of information on the number of people licensed to possess firearms or the number of licensed firearms. Similarly alarming conclusions were drawn in the Department of Health as auditors found that they could not determine which medical staff member was responsible for clinical data entries made. The paper describes how these issues often do not arise from existing business rules or the technology itself, but a lack of sound data governance. Finally, a discussion section presents key data governance principles and best practices that may guide practitioners involved in data management. These cases highlight the very real data management concerns, and the associated recommendations provide the context to spark further interest in the applied aspects of data protection….(More)”

 

Social Dimensions of Privacy

Curated on Posted on by Stefaan Verhulst

New book edited by Dorota Mokrosinska and Beate Roessler: “Written by a select international group of leading privacy scholars, Social Dimensions of Privacy endorses and develops an innovative approach to privacy. By debating topical privacy cases in their specific research areas, the contributors explore the new privacy-sensitive areas: legal scholars and political theorists discuss the European and American approaches to privacy regulation; sociologists explore new forms of surveillance and privacy on social network sites; and philosophers revisit feminist critiques of privacy, discuss markets in personal data, issues of privacy in health care and democratic politics. The broad interdisciplinary character of the volume will be of interest to readers from a variety of scientific disciplines who are concerned with privacy and data protection issues.

  • Takes an innovative approach to privacy which focuses on the social dimensions and value of privacy in contrast to the value of privacy for individuals
  • Addresses readers from a variety of disciplines, including law, philosophy, media studies, gender studies and political science
  • Addresses new privacy-sensitive areas triggered by recent technological developments (More)”

A Research Roadmap for Human Computation

Curated on Posted on by Stefaan Verhulst

Emerging Technology From the arXiv : “The wisdom of the crowd has become so powerful and so accessible via the Internet that it has become a resource in its own right. Various services now tap into this rich supply of human cognition, such as Wikipedia, Duolingo, and Amazon’s Mechanical Turk.

So important is this resource that scientists have given it a name; they call it human computation. And a rapidly emerging and increasingly important question is how best to exploit it.

Today, we get an answer of sorts thanks to a group of computer scientists, crowdsourcing pioneers, and visionaries who have created a roadmap for research into human computation. The team, led by Pietro Michelucci at the Human Computation Institute, point out that human computation systems have been hugely successful at tackling complex problems from identifying spiral galaxies to organizing disaster relief.

But their potential is even greater still, provided that human cognition can be efficiently harnessed on a global scale. Last year, they met to discuss these issues and have now published the results of their debate.

The begin by pointing out the extraordinary successes of human computation….then describe the kinds of projects they want to create. They call one idea Project Houston after the crowdsourced effort on the ground that helped bring back the Apollo 13 astronauts after an on-board explosion on the way to the moon.

Their idea is that similar help can be brought to bear from around the world when individuals on earth find themselves in trouble. By this they mean individuals who might be considering suicide or suffering from depression, for example.

The plan is to use state-of-the-art speech analysis and natural language understanding to detect stress and offer help. This would come in the form of composite personalities made up from individuals with varying levels of expertise in the crowd, supported by artificial intelligence techniques. “Project Houston could provide a consistently kind and patient personality even if the “crowd” changes completely over time,” they say.

Another idea is to build on the way that crowdsourcing helps people learn. One example of this is Duolingo, an app that offers free language lessons while simultaneously acting as a document translation service. “Why stop with language learning and translation?” they ask.

A similar approach could help people learn new skills as they work online, a process that should allow them to take on more complex roles. One example is in the field of radiology, where an important job is to recognize tumors on x-ray images. This is a task that machine vision algorithms do not yet perform reliably…..

Yet another idea would be to crowdsource information that helps the poorest families in America find social welfare programs. These programs are often difficult to navigate and represent a disproportionate hardship for the people who are most likely to benefit from them: those who are homeless, who have disabilities, who are on low income, and so on.

The idea is that the crowd should take on some of this burden freeing up this group for other tasks, like finding work, managing health problems and so on.

These are worthy goals but they raise some significant questions. Chief among these is the nature of the ethical, legal, and social implications of human computation. How can this work be designed to allow meaningful and dignified human participation? How can the outcomes be designed so that the most vulnerable people can benefit from it? And what is the optimal division of labor between machines and humans to produce a specific result?

Ref:  arxiv.org/abs/1505.07096 : A U.S. Research Roadmap for Human Computation”

CMS announces entrepreneurs and innovators to access Medicare data

Curated on Posted on by Stefaan Verhulst

Centers for Medicare and Medicaid Services Press Release: “…the acting Centers for Medicare & Medicaid Services (CMS) Administrator, Andy Slavitt, announced a new policy that for the first time will allow innovators and entrepreneurs to access CMS data, such as Medicare claims. As part of the Administration’s commitment to use of data and information to drive transformation of the healthcare delivery system, CMS will allow innovators and entrepreneurs to conduct approved research that will ultimately improve care and provide better tools that should benefit health care consumers through a greater understanding of what the data says works best in health care. The data will not allow the patient’s identity to be determined, but will provide the identity of the providers of care. CMS will begin accepting innovator research requests in September 2015.

“Data is the essential ingredient to building a better, smarter, healthier system. Today’s announcement is aimed directly at shaking up health care innovation and setting a new standard for data transparency,” said acting CMS Administrator Andy Slavitt. “We expect a stream of new tools for beneficiaries and care providers that improve care and personalize decision-making.”

Innovators and entrepreneurs will access data via the CMS Virtual Research Data Center (VRDC) which provides access to granular CMS program data, including Medicare fee-for-service claims data, in an efficient and cost effective manner. Researchers working in the CMS VRDC have direct access to approved privacy-protected data files and are able to conduct their analysis within a secure CMS environment….

Examples of tools or products that innovators and entrepreneurs might develop include care management or predictive modeling tools, which could greatly benefit the healthcare system, in the form of healthier people, better quality, or lower cost of care. Even though all data is privacy-protected, researchers also will not be allowed to remove patient-level data from the VRDC. They will only be able to download aggregated, privacy-protected reports and results to their own personal workstation.  …(More)”

New ODI research shows open data reaching every sector of UK industry

Curated on Posted on by Stefaan Verhulst

ODI: “New research has been published today (1 June) by the Open Data Institute showing that open data is reaching every sector of UK industry.

In various forms, open data is being adopted by a wide variety of businesses – small and large, new and old, from right across the country. The findings from Open data means business: UK innovation across sectors and regions draw on 270 companies with a combined turnover of £92bn and over 500k employees, identified by the ODI as using, producing or investing in open data as part of their business. The project included desk research, surveys and interviews on the companies’ experiences.

Key findings from the research include:

  • Companies using open data come from many sectors; over 46% from outside the information and communication sector. These include finance & insurance, science & technology, business administration & support, arts & entertainment, health, retail, transportation, education and energy.
  • The most popular datasets for companies aregeospatial/mapping data (57%), transport data (43%) and environment data (42%).
  • 39% of companies innovating with open data are over 10 years old, with some more than 25 years old, proving open data isn’t just for new digital startups.
  • ‘Micro-enterprises’ (businesses with fewer than 10 employees) represented 70% of survey respondents, demonstrating athriving open data startup scene. These businesses are using it to create services, products and platforms. 8% of respondents were drawn from large companies of 251 or more employees….
  • The companies surveyed listed 25 different government sources for the data they use. Notably, Ordnance Survey data was cited most frequently, by 14% of the companies. The non-government source most commonly used was OpenStreetMap, an openly licenced map of the world created by volunteers….(More)

5 cool ways connected data is being used

Curated on Posted on by Stefaan Verhulst

 at Wareable: “The real news behind the rise of wearable tech isn’t so much the gadgetry as the gigantic amount of personal data that it harnesses.

Concerns have already been raised over what companies may choose to do with such valuable information, with one US life insurance company already using Fitbits to track customers’ exercise and offer them discounts when they hit their activity goals.

Despite a mildly worrying potential dystopia in which our own data could be used against us, there are plenty of positive ways in which companies are using vast amounts of connected data to make the world a better place…

Parkinson’s disease research

Apple Health ResearchKit was recently unveiled as a platform for collecting collaborative data for medical studies, but Apple isn’t the first company to rely on crowdsourced data for medical research.

The Michael J. Fox Foundation for Parkinson’s Research recently unveiled a partnership with Intel to improve research and treatment for the neurodegenerative brain disease. Wearables are being used to unobtrusively gather real-time data from sufferers, which is then analysed by medical experts….

Saving the rhino

Connected data and wearable tech isn’t just limited to humans. In South Africa, the Madikwe Conservation Project is using wearable-based data to protect endangered rhinos from callous poachers.

A combination of ultra-strong Kevlar ankle collars powered by an Intel Galileo chip, along with an RFID chip implanted in each rhino’s horn allows the animals to be monitored. Any break in proximity between the anklet and horn results in anti-poaching teams being deployed to catch the bad guys….

Making public transport smart

A company called Snips is collecting huge amounts of urban data in order to improve infrastructure. In partnership with French national rail operator SNCF, Snips produced an app called Tranquilien to utilise location data from commuters’ phones and smartwatches to track which parts of the rail network were busy at which times.

Combining big data with crowdsourcing, the information helps passengers to pick a train where they can find a seat during peak times, while the data can also be useful to local businesses when serving the needs of commuters who are passing through.

Improving the sports fan experience

We’ve already written about how wearable tech is changing the NFL, but the collection of personal data is also set to benefit the fans.

Levi’s Stadium – the new home of the San Francisco 49ers – opened in 2014 and is one of the most technically advanced sports venues in the world. As well as a strong Wi-Fi signal throughout the stadium, fans also benefit from a dedicated app. This not only offers instant replays and real-time game information, but it also helps them find a parking space, order food and drinks directly to their seat and even check the lines at the toilets. As fans use the app, all of the data is collated to enhance the fan experience in future….

Creating interactive art

Don’t be put off by the words ‘interactive installation’. On Broadway is a cool work of art that “represents life in the 21st Century city through a compilation of images and data collected along the 13 miles of Broadway that span Manhattan”….(More)”

The Missing Statistics of Criminal Justice

Curated on Posted on by Stefaan Verhulst

Matt Ford at the Atlantic: “An abundance of data has fueled the reform movement, but from prisons to prosecutors, crucial questions remain unquantified.

After Ferguson, a noticeable gap in criminal-justice statistics emerged: the use of lethal force by the police. The federal government compiles a wealth of data on homicides, burglaries, and arson, but no official, reliable tabulation of civilian deaths by law enforcement exists. A partial database kept by the FBI is widely considered to be misleading and inaccurate. (The Washington Post has just released a more expansive total of nearly 400 police killings this year.) “It’s ridiculous that I can’t tell you how many people were shot by the police last week, last month, last year,” FBI Director James Comey told reporters in April.

This raises an obvious question: If the FBI can’t tell how many people were killed by law enforcement last year, what other kinds of criminal-justice data are missing? Statistics are more than just numbers: They focus the attention of politicians, drive the allocation of resources, and define the public debate. Public officials—from city councilors to police commanders to district attorneys—are often evaluated based on how these numbers change during their terms in office. But existing statistical measures only capture part of the overall picture, and the problems that go unmeasured are often also unaddressed. What changes could the data that isn’t currently collected produce if it were gathered?….

Without reliable official statistics, scholars often must gather and compile necessary data themselves. “A few years ago, I was struck at how many police killings of civilians we seemed to be having in Philadelphia,” Gottschalk said as an example. “They would be buried in the newspaper, and I was stunned by how difficult it was to compile that information and compare it to New York and do it on a per-capita basis. It wasn’t readily available.” As a result, criminal-justice researchers often spend more time gathering data than analyzing it.

This data’s absence shapes the public debate over mass incarceration in the same way that silence between notes of music gives rhythm to a song. Imagine debating the economy without knowing the unemployment rate, or climate change without knowing the sea level, or healthcare reform without knowing the number of uninsured Americans. Legislators and policymakers heavily rely on statistics when crafting public policy. Criminal-justice statistics can also influence judicial rulings, including those by the Supreme Court, with implications for the entire legal system.

Beyond their academic and policymaking value, there’s also a certain power to statistics. They have the irreplaceable ability to both clarify social issues and structure the public’s understanding of them. A wealth of data has allowed sociologists, criminologists, and political scientists to diagnose serious problems with the American criminal-justice system over the past twenty years. Now that a growing bipartisan consensus recognizes the problem exists, gathering the right facts and figures could help point the way towards solutions…(More)”

Measuring ‘governance’ to improve lives

Curated on Posted on by Stefaan Verhulst

Robert Rotberg at the Conversation: “…Citizens everywhere desire “good governance” – to be governed well within their nation-states, their provinces, their states and their cities.

Governance is more useful than “democracy” if we wish to understand how different political rulers and ruling elites satisfy the aspirations of their citizens.

But to make the notion of “governance” useful, we need both a practical definition and a method of measuring the gradations between good and bad governance.

What’s more, if we can measure well, we can diagnose weak areas of governance and, hence, seek ways to make the weak actors strong.

Governance, defined as “the performance of governments and the delivery of services by governments,” tells us if and when governments are in fact meeting the expectations of their constituents and providing for them effectively and responsibly.

Democracy outcomes, by contrast, are much harder to measure because the meaning of the very word itself is contested and impossible to measure accurately.

For the purposes of making policy decisions, if we seek to learn how citizens are faring under regime X or regime Y, we need to compare governance (not democracy) in those respective places.

In other words, governance is a construct that enables us to discern exactly whether citizens are progressing in meeting life’s goals.

Measuring governance: five bundles and 57 subcategories

Are citizens of a given country better off economically, socially and politically than they were in an earlier decade? Are their various human causes, such as being secure or being free, advancing? Are their governments treating them well, and attempting to respond to their various needs and aspirations and relieving them of anxiety?

Just comparing national gross domestic products (GDPs), life expectancies or literacy rates provides helpful distinguishing data, but governance data are more comprehensive, more telling and much more useful.

Assessing governance tells us far more about life in different developing societies than we would learn by weighing the varieties of democracy or “human development” in such places.

Government’s performance, in turn, is according to the scheme advanced in my book On Governance and in my Index of African Governance, the delivery to citizens of five bundles (divided into 57 underlying subcategories) of political goods that citizens within any kind of political jurisdiction demand.

The five major bundles are Security and Safety, Rule of Law and Transparency, Political Participation and Respect for Human Rights, Sustainable Economic Opportunity, and Human Development (education and health)….(More)”

Remote Voting and Beyond: How Tech Will Transform Government From the Inside Out

Curated on Posted on by Stefaan Verhulst

Springwise: “…Technology, and in particular the internet, are often seen as potential stumbling blocks for government. But this perception acts as a brake on innovation in public services and in politics more generally. By embracing technology, rather than warily containing it, governments globally could benefit hugely. In terms of formulating and executing policy, technology can help governments become more transparent, accountable and effective, while improving engagement and participation from regular citizens.

On engagement, for instance, technology is opening up new avenues which make taking part in the political process far more straightforward. Springwise-featured Harvard startup Voatz are building a platform that allows users to vote, make campaign donations and complete opinion polls from their smartphones. The app, which uses biometric authentication to ensure that identities are comprehensively verified, could well entice younger voters who are alienated by the ballot box. Melding the simplicity of apps with sophisticated identity verification technology, Voatz is just one example of how tech can disrupt government for good.

From the Ground Up…

The potential for active participation goes far beyond voting. E-focus groups, online petitions and campaign groups have the power to transform the interaction between political establishments and citizens. From fact-checking charities enabled by crowdfunding such as UK-based Full Fact to massive national campaigns conducted online, citizens connected by technology are using their collective power to reshape government in democratic countries. Under other regimes, such as in the People’s Republic of China, vigilante citizens are circumventing extensive firewalls to shine a light on official misconduct.

…and the Top Down

As well as an abundance of citizen-led efforts to improve governance, there are significant moves from governments themselves to shake-up public service delivery. Even HealthCare.gov, flawed though the roll-out was, marks a hugely ambitious piece of government reform underpinned by technology. Indeed, Obama has shown an unprecedented willingness to embrace technology in his two terms, appointing chief information and technology officers, promising to open up government data and launching the @POTUS Twitter account last month. Clearly, recognition is there from governments that technology can be a game changer for their headline policies.

While many countries are using technology for individual projects, there is one government that is banking its entire national success on tech – Estonia. The tiny, sparsely populated country in Eastern Europe is one of the most technologically advanced in the world. Everything from citizen IDs to tax returns and health records make use of technology and are efficient and ‘future-proofed’ as a result.

Whether as a threat or an opportunity, technology represents a transformative influence on government. Its potential as a disruptive, reshaping force has fed a narrative that casts technology as a looming threat and a destabiliser of conventional power structures. But harnessed properly and executed effectively, technology can remold government for the better, improving big public service projects, raising participation and engaging a young population whose default is digital….(More)”

Open data could save the NHS hundreds of millions, says top UK scientist

Curated on Posted on by Stefaan Verhulst

The Guardian: “The UK government must open up and highlight the power of more basic data sets to improve patient care in the NHS and save hundreds of millions of pounds a year, Nigel Shadbolt, chairman of the Open Data Institute (ODI) has urged.

The UK government topped the first league table for open data (paywall)produced by the ODI last year but Shadbolt warns that ministers’ open data responsibilities have not yet been satisfied.

Basic data on prescription administration is now published on a monthly basis but Shadbolt said medical practitioners must be educated about the power of this data to change prescribing habits across the country.

Other data sets, such as trusts’ opening times, consultant lists and details of services, that are promised to make the NHS more accessible are not currently available in a form that is machine-readable.

“These basic sets of information about the processes, the people and places in the health system are all fragmented and fractured and many of them are not available as registers that you can go to,” Shadbolt said.

“Whenever you talk about health data people think you must be talking about personal data and patient data and there are issues, obviously, of absolutely protecting privacy there. But there’s lots of data in the health service that is not about personal patient data at all that would be hugely useful to just have available as machine-readable data for apps to use.”

The UK government has led the way in recent years in encouraging transparency and accountability within the NHS by opening league tables. The publication of league tables on MRSA was followed by a 76-79% drop in infections.

Shadbolt said: “Those hospitals that were worst in their league table don’t like to be there and there was a very rapid diffusion of understanding of best practice across them that you can quantify. It’s many millions of pounds being saved.”

The artificial intelligence and open data expert said the next big area for open data improvement in the NHS is around prescriptions.

Shadbolt pointed to the publication of data about the prescription of statins,which has helped identify savings worth hundreds of millions of pounds: “There is little doubt that this pattern is likely to exist across the whole of the prescribing space.”…(More)”