Making digital government better

Curated on Posted on by Stefaan Verhulst

An McKinsey Insight interview with Mike Bracken (UK): “When it comes to the digital world, governments have traditionally placed political, policy, and system needs ahead of the people who require services. Mike Bracken, the executive director of the United Kingdom’s Government Digital Service, is attempting to reverse that paradigm by empowering citizens—and, in the process, improve the delivery of services and save money. In this video interview, Bracken discusses the philosophy behind the digital transformation of public services in the United Kingdom, some early successes, and next steps.

Interview transcript

Putting users first

Government around the world is pretty good at thinking about its own needs. Government puts its own needs first—they often put their political needs followed by the policy needs. The actual machine of government comes second. The third need then generally becomes the system needs, so the IT or whatever system’s driving it. And then out of those four, the user comes a poor fourth, really.
And we’ve inverted that. So let me give you an example. At the moment, if you want to know about tax in the UK , you’re probably going to know that Her Majesty’s Revenue and Customs is a part of government that deals with tax. You’re probably going to know that because you pay tax, right?
But why should you have to know that? Because, really, it’s OK to know that, for that one—but we’ve got 300 agencies, more than that; we’ve got 24 parts of government. If you want to know about, say, gangs, is that a health issue or is that a local issue? Is it a police issue? Is it a social issue, an education issue? Well, actually it’s all of those issues. But you shouldn’t have to know how government is constructed to know what each bit of government is doing about an esoteric issue like gangs.
What we’ve done with gov.uk, and what we’re doing with our transactions, is to make them consistent at the point of user need. Because there’s only one real user need of government digitally, and that’s to recognize that at the point of need, users need to deal with the government. Not a department name or an agency name, they’re dealing with the government. And when they do that, they need it to be consistent, and they need it to be easy to find. Ninety-five percent of our journeys digitally start with a search.
And so our elegantly constructed and expensively constructed front doors are often completely routed around. We’ve got to recognize that and construct our digital services based on user needs….”

Doctors’ #1 Source for Healthcare Information: Wikipedia

Curated on Posted on by Stefaan Verhulst
Article By Julie Beck in the Atlantic: “In spite of all of our teachers’ and bosses’ warnings that it’s not a trustworthy source of information, we all rely on Wikipedia. Not only when we can’t remember the name of that guy from that movie, which is a fairly low-risk use, but also when we find a weird rash or are just feeling a little off and we’re not sure why. One in three Americans have tried to diagnose a medical condition with the help of the Internet, and a new report says doctors are just as drawn to Wikipedia’s flickering flame.
According to the IMS Institute for Healthcare Informatics’ “Engaging patients through social media” report, Wikipedia is the top source of healthcare information for both doctors and patients. Fifty percent of physicians use Wikipedia for information, especially for specific conditions.
Generally, more people turn to Wikipedia for rare diseases than common conditions. The top five conditions looked up on the site over the past year were: tuberculosis, Crohn’s disease, pneumonia, multiple sclerosis, and diabetes. Patients tend to use Wikipedia as a “starting point for their online self education,” the report says. It also found a “direct correlation between Wikipedia page visits and prescription volumes.”
We already knew that more and more people were turning to the Internet in general and Wikipedia specifically for health information, and we could hardly stop them if we tried.

Being crowd-sourced, the information may well be neutral, but is it accurate? Knowing that doctors, too, are using these resources raises old concerns about the quality of information that comes up when you type your condition into Google.
But doctors are aware of this, and an effort called Wikiproject Medicine is dedicated to improving the quality of medical information on Wikipedia. The IMS report looked at changes to five articles—diabetes, multiple sclerosis, rheumatoid arthritis, breast cancer and prostate cancer—and found them to be in a state of constant flux. Those articles were changed, on average, between 16 and 46 times a month. But one of the major contributors to those articles was Dr. James Heilman, the founder of Wikiproject Medicine’s Medicine Translation task force.
“This task force’s goal is getting 200 medical articles to a good or featured status (only 0.1 percent of articles on Wikipedia have this status), simplifying the English and then translating this content to as many languages as possible,” the report says. “The aim is to improve the quality of the most read medical articles on Wikipedia and ensure that this quality will reach non-English speakers.”…”

openFDA

Curated on Posted on by Stefaan Verhulst

Dr. Taha Kass-Hout at the FDA: “Welcome to the new home of openFDA! We are incredibly excited to see so much interest in our work and hope that this site can be a valuable resource to those wishing to use public FDA data in both the public and private sector to spur innovation, further regulatory or scientific missions, educate the public, and save lives.
Through openFDA, developers and researchers will have easy access to high-value FDA public data through RESTful APIs and structured file downloads. In short, our goal is to make it simple for an application, mobile, or web developer, or all stripes of researchers, to use data from FDA in their work. We’ve done an extensive amount of research both internally and with potential external developers to identify which datasets are both in demand and have a high barrier of entry. As a result, our initial pilot project will cover a number of datasets from various areas within FDA, defined into three broad focus areas: Adverse Events, Product Recalls, and Product Labeling. These API’s won’t have one-on-one matching to FDA’s internal data organizational structure; rather, we intend to abstract on top of a myriad of datasets and provide appropriate metadata and identifiers when possible. Of course, we’ll always make the raw source data available for people who prefer to work that way (and it’s good to mention that we also will not be releasing any data that could potentially be used to identify individuals or other private information).
The openFDA initiative is one part of the larger Office of Informatics and Technology Innovation roadmap. As part of my role as FDA’s Chief Health Informatics Officer, I’m working to lead efforts to move FDA in to a cutting edge technology organization. You’ll be hearing more about our other initiatives, including Cloud Computing, High Performance Computing, Next Generation Sequencing, and mobile-first deployment in the near future.
As we work towards a release of openFDA we’ll begin to share more about our work and how you can get involved. In the meantime, I suggest you sign up for our listserv (on our home page) to get the latest updates on the project. You can also reach our team at open@fda.hhs.gov if there is a unique partnership opportunity or other collaboration you wish to discuss.”

Big Data, Big New Businesses

Curated on Posted on by Stefaan Verhulst

Nigel Shaboldt and Michael Chui: “Many people have long believed that if government and the private sector agreed to share their data more freely, and allow it to be processed using the right analytics, previously unimaginable solutions to countless social, economic, and commercial problems would emerge. They may have no idea how right they are.

Even the most vocal proponents of open data appear to have underestimated how many profitable ideas and businesses stand to be created. More than 40 governments worldwide have committed to opening up their electronic data – including weather records, crime statistics, transport information, and much more – to businesses, consumers, and the general public. The McKinsey Global Institute estimates that the annual value of open data in education, transportation, consumer products, electricity, oil and gas, health care, and consumer finance could reach $3 trillion.

These benefits come in the form of new and better goods and services, as well as efficiency savings for businesses, consumers, and citizens. The range is vast. For example, drawing on data from various government agencies, the Climate Corporation (recently bought for $1 billion) has taken 30 years of weather data, 60 years of data on crop yields, and 14 terabytes of information on soil types to create customized insurance products.

Similarly, real-time traffic and transit information can be accessed on smartphone apps to inform users when the next bus is coming or how to avoid traffic congestion. And, by analyzing online comments about their products, manufacturers can identify which features consumers are most willing to pay for, and develop their business and investment strategies accordingly.

Opportunities are everywhere. A raft of open-data start-ups are now being incubated at the London-based Open Data Institute (ODI), which focuses on improving our understanding of corporate ownership, health-care delivery, energy, finance, transport, and many other areas of public interest.

Consumers are the main beneficiaries, especially in the household-goods market. It is estimated that consumers making better-informed buying decisions across sectors could capture an estimated $1.1 trillion in value annually. Third-party data aggregators are already allowing customers to compare prices across online and brick-and-mortar shops. Many also permit customers to compare quality ratings, safety data (drawn, for example, from official injury reports), information about the provenance of food, and producers’ environmental and labor practices.

Consider the book industry. Bookstores once regarded their inventory as a trade secret. Customers, competitors, and even suppliers seldom knew what stock bookstores held. Nowadays, by contrast, bookstores not only report what stock they carry but also when customers’ orders will arrive. If they did not, they would be excluded from the product-aggregation sites that have come to determine so many buying decisions.

The health-care sector is a prime target for achieving new efficiencies. By sharing the treatment data of a large patient population, for example, care providers can better identify practices that could save $180 billion annually.

The Open Data Institute-backed start-up Mastodon C uses open data on doctors’ prescriptions to differentiate among expensive patent medicines and cheaper “off-patent” varieties; when applied to just one class of drug, that could save around $400 million in one year for the British National Health Service. Meanwhile, open data on acquired infections in British hospitals has led to the publication of hospital-performance tables, a major factor in the 85% drop in reported infections.

There are also opportunities to prevent lifestyle-related diseases and improve treatment by enabling patients to compare their own data with aggregated data on similar patients. This has been shown to motivate patients to improve their diet, exercise more often, and take their medicines regularly. Similarly, letting people compare their energy use with that of their peers could prompt them to save hundreds of billions of dollars in electricity costs each year, to say nothing of reducing carbon emissions.

Such benchmarking is even more valuable for businesses seeking to improve their operational efficiency. The oil and gas industry, for example, could save $450 billion annually by sharing anonymized and aggregated data on the management of upstream and downstream facilities.

Finally, the move toward open data serves a variety of socially desirable ends, ranging from the reuse of publicly funded research to support work on poverty, inclusion, or discrimination, to the disclosure by corporations such as Nike of their supply-chain data and environmental impact.

There are, of course, challenges arising from the proliferation and systematic use of open data. Companies fear for their intellectual property; ordinary citizens worry about how their private information might be used and abused. Last year, Telefónica, the world’s fifth-largest mobile-network provider, tried to allay such fears by launching a digital confidence program to reassure customers that innovations in transparency would be implemented responsibly and without compromising users’ personal information.

The sensitive handling of these issues will be essential if we are to reap the potential $3 trillion in value that usage of open data could deliver each year. Consumers, policymakers, and companies must work together, not just to agree on common standards of analysis, but also to set the ground rules for the protection of privacy and property.”

Mindless – Why Smarter Machines are Making Dumber Humans

Curated on Posted on by Stefaan Verhulst

New book by Simon Head: “The tools of corporate efficiency—expert systems, databases, and operations management—have improved our lives significantly, but with a cost: they’re turning us into mindless drones.
We live in the age of Computer Business Systems (CBSs)—the highly complex, computer-intensive management programs on which large organizations increasingly rely. In Mindless, Simon Head argues that these systems have come to trump human expertise, dictating the goals and strategies of a wide array of businesses, and de-skilling the jobs of middle class workers in the process. CBSs are especially dysfunctional, Head argues, when they apply their disembodied expertise to transactions between humans, as in health care, education, customer relations, and human resources management. And yet there are industries with more human approaches, as Head illustrates with specific examples, whose lead we must follow and extend to the mainstream American economy.
Mindless illustrates the shortcomings of CBS, providing an in-depth and disturbing look at how human dignity is slipping as we become cogs on a white collar assembly line.”

Choosing Not to Choose

Curated on Posted on by Stefaan Verhulst

New paper by Cass Sunstein: “Choice can be an extraordinary benefit or an immense burden. In some contexts, people choose not to choose, or would do so if they were asked. For example, many people prefer not to make choices about their health or retirement plans; they want to delegate those choices to a private or public institution that they trust (and may well be willing to pay a considerable amount for such delegations). This point suggests that however well-accepted, the line between active choosing and paternalism is often illusory. When private or public institutions override people’s desire not to choose, and insist on active choosing, they may well be behaving paternalistically, through a form of choice-requiring paternalism. Active choosing can be seen as a form of libertarian paternalism, and a frequently attractive one, if people are permitted to opt out of choosing in favor of a default (and in that sense not to choose); it is a form of nonlibertarian paternalism insofar as people are required to choose. For both ordinary people and private or public institutions, the ultimate judgment in favor of active choosing, or in favor of choosing not to choose, depends largely on the costs of decisions and the costs of errors. But the value of learning, and of developing one’s own preferences and values, is also important, and may argue on behalf of active choosing, and against the choice not to choose. For law and policy, these points raise intriguing puzzles about the idea of “predictive shopping,” which is increasingly feasible with the rise of large data sets containing information about people’s previous choices. Some empirical results are presented about people’s reactions to predictive shopping; the central message is that most (but not all) people reject predictive shopping in favor of active choosing.”

Open Data (Updated and Expanded)

Curated on Posted on by Andrew Young

As part of an ongoing effort to build a knowledge base for the field of opening governance by organizing and disseminating its learnings, the GovLab Selected Readings series provides an annotated and curated collection of recommended works on key opening governance topics. We start our series with a focus on Open Data. To suggest additional readings on this or any other topic, please email biblio@thegovlab.org.

Data and its uses for GovernanceOpen data refers to data that is publicly available for anyone to use and which is licensed in a way that allows for its re-use. The common requirement that open data be machine-readable not only means that data is distributed via the Internet in a digitized form, but can also be processed by computers through automation, ensuring both wide dissemination and ease of re-use. Much of the focus of the open data advocacy community is on government data and government-supported research data. For example, in May 2013, the US Open Data Policy defined open data as publicly available data structured in a way that enables the data to be fully discoverable and usable by end users, and consistent with a number of principles focused on availability, accessibility and reusability.

Selected Reading List (in alphabetical order)

Annotated Selected Reading List (in alphabetical order)
Fox, Mark S. “City Data: Big, Open and Linked.” Working Paper, Enterprise Integration Laboratory (2013). http://bit.ly/1bFr7oL.

  • This paper examines concepts that underlie Big City Data using data from multiple cities as examples. It begins by explaining the concepts of Open, Unified, Linked, and Grounded data, which are central to the Semantic Web. Fox then explore Big Data as an extension of Data Analytics, and provide case examples of good data analytics in cities.
  • Fox concludes that we can develop the tools that will enable anyone to analyze data, both big and small, by adopting the principles of the Semantic Web:
    • Data being openly available over the internet,
    • Data being unifiable using common vocabularies,
    • Data being linkable using International Resource Identifiers,
    • Data being accessible using a common data structure, namely triples,
    • Data being semantically grounded using Ontologies.

Foulonneau, Muriel, Sébastien Martin, and Slim Turki. “How Open Data Are Turned into Services?” In Exploring Services Science, edited by Mehdi Snene and Michel Leonard, 31–39. Lecture Notes in Business Information Processing 169. Springer International Publishing, 2014. http://bit.ly/1fltUmR.

  • In this chapter, the authors argue that, considering the important role the development of new services plays as a motivation for open data policies, the impact of new services created through open data should play a more central role in evaluating the success of open data initiatives.
  • Foulonneau, Martin and Turki argue that the following metrics should be considered when evaluating the success of open data initiatives: “the usage, audience, and uniqueness of the services, according to the changes it has entailed in the public institutions that have open their data…the business opportunity it has created, the citizen perception of the city…the modification to particular markets it has entailed…the sustainability of the services created, or even the new dialog created with citizens.”

Goldstein, Brett, and Lauren Dyson. Beyond Transparency: Open Data and the Future of Civic Innovation. 1 edition. (Code for America Press: 2013). http://bit.ly/15OAxgF

  • This “cross-disciplinary survey of the open data landscape” features stories from practitioners in the open data space — including Michael Flowers, Brett Goldstein, Emer Colmeman and many others — discussing what they’ve accomplished with open civic data. The book “seeks to move beyond the rhetoric of transparency for transparency’s sake and towards action and problem solving.”
  • The book’s editors seek to accomplish the following objectives:
    • Help local governments learn how to start an open data program
    • Spark discussion on where open data will go next
    • Help community members outside of government better engage with the process of governance
    • Lend a voice to many aspects of the open data community.
  • The book is broken into five sections: Opening Government Data, Building on Open Data, Understanding Open Data, Driving Decisions with Data and Looking Ahead.

Granickas, Karolis. “Understanding the Impact of Releasing and Re-using Open Government Data.” European Public Sector Information Platform, ePSIplatform Topic Report No. 2013/08, (2013). http://bit.ly/GU0Nx4.

  • This paper examines the impact of open government data by exploring the latest research in the field, with an eye toward enabling  an environment for open data, as well as identifying the benefits of open government data and its political, social, and economic impacts.
  • Granickas concludes that to maximize the benefits of open government data: a) further research is required that structure and measure potential benefits of open government data; b) “government should pay more attention to creating feedback mechanisms between policy implementers, data providers and data-re-users”; c) “finding a balance between demand and supply requires mechanisms of shaping demand from data re-users and also demonstration of data inventory that governments possess”; and lastly, d) “open data policies require regular monitoring.”

Gurin, Joel. Open Data Now: The Secret to Hot Startups, Smart Investing, Savvy Marketing, and Fast Innovation, (New York: McGraw-Hill, 2014). http://amzn.to/1flubWR.

  • In this book, GovLab Senior Advisor and Open Data 500 director Joel Gurin explores the broad realized and potential benefit of Open Data, and how, “unlike Big Data, Open Data is transparent, accessible, and reusable in ways that give it the power to transform business, government, and society.”
  • The book provides “an essential guide to understanding all kinds of open databases – business, government, science, technology, retail, social media, and more – and using those resources to your best advantage.”
  • In particular, Gurin discusses a number of applications of Open Data with very real potential benefits:
    • “Hot Startups: turn government data into profitable ventures;
    • Savvy Marketing: understanding how reputational data drives your brand;
    • Data-Driven Investing: apply new tools for business analysis;
    • Consumer Information: connect with your customers using smart disclosure;
    • Green Business: use data to bet on sustainable companies;
    • Fast R&D: turn the online world into your research lab;
    • New Opportunities: explore open fields for new businesses.”

Jetzek, Thorhildur, Michel Avital, and Niels Bjørn-Andersen. “Generating Value from Open Government Data.” Thirty Fourth International Conference on Information Systems, 5. General IS Topics 2013. http://bit.ly/1gCbQqL.

  • In this paper, the authors “developed a conceptual model portraying how data as a resource can be transformed to value.”
  • Jetzek, Avital and Bjørn-Andersen propose a conceptual model featuring four Enabling Factors (openness, resource governance, capabilities and technical connectivity) acting on four Value Generating Mechanisms (efficiency, innovation, transparency and participation) leading to the impacts of Economic and Social Value.
  • The authors argue that their research supports that “all four of the identified mechanisms positively influence value, reflected in the level of education, health and wellbeing, as well as the monetary value of GDP and environmental factors.”

Kassen, Maxat. “A promising phenomenon of open data: A case study of the Chicago open data project.” Government Information Quarterly (2013). http://bit.ly/1ewIZnk.

  • This paper uses the Chicago open data project to explore the “empowering potential of an open data phenomenon at the local level as a platform useful for promotion of civic engagement projects and provide a framework for future research and hypothesis testing.”
  • Kassen argues that “open data-driven projects offer a new platform for proactive civic engagement” wherein governments can harness “the collective wisdom of the local communities, their knowledge and visions of the local challenges, governments could react and meet citizens’ needs in a more productive and cost-efficient manner.”
  • The paper highlights the need for independent IT developers to network in order for this trend to continue, as well as the importance of the private sector in “overall diffusion of the open data concept.”

Keen, Justin, Radu Calinescu, Richard Paige, John Rooksby. “Big data + politics = open data: The case of health care data in England.” Policy and Internet 5 (2), (2013): 228–243. http://bit.ly/1i231WS.

  • This paper examines the assumptions regarding open datasets, technological infrastructure and access, using healthcare systems as a case study.
  • The authors specifically address two assumptions surrounding enthusiasm about Big Data in healthcare: the assumption that healthcare datasets and technological infrastructure are up to task, and the assumption of access to this data from outside the healthcare system.
  • By using the National Health Service in England as an example, the authors identify data, technology, and information governance challenges. They argue that “public acceptability of third party access to detailed health care datasets is, at best, unclear,” and that the prospects of Open Data depend on Open Data policies, which are inherently political, and the government’s assertion of property rights over large datasets. Thus, they argue that the “success or failure of Open Data in the NHS may turn on the question of trust in institutions.”

Kulk, Stefan and Bastiaan Van Loenen. “Brave New Open Data World?” International Journal of Spatial Data Infrastructures Research, May 14, 2012. http://bit.ly/15OAUYR.

  • This paper examines the evolving tension between the open data movement and the European Union’s privacy regulations, especially the Data Protection Directive.
  • The authors argue, “Technological developments and the increasing amount of publicly available data are…blurring the lines between non-personal and personal data. Open data may not seem to be personal data on first glance especially when it is anonymised or aggregated. However, it may become personal by combining it with other publicly available data or when it is de-anonymised.”

Kundra, Vivek. “Digital Fuel of the 21st Century: Innovation through Open Data and the Network Effect.” Joan Shorenstein Center on the Press, Politics and Public Policy, Harvard College: Discussion Paper Series, January 2012, http://hvrd.me/1fIwsjR.

  • In this paper, Vivek Kundra, the first Chief Information Officer of the United States, explores the growing impact of open data, and argues that, “In the information economy, data is power and we face a choice between democratizing it and holding on to it for an asymmetrical advantage.”
  • Kundra offers four specific recommendations to maximize the impact of open data: Citizens and NGOs must demand open data in order to fight government corruption, improve accountability and government services; Governments must enact legislation to change the default setting of government to open, transparent and participatory; The press must harness the power of the network effect through strategic partnerships and crowdsourcing to cut costs and provide better insights; and Venture capitalists should invest in startups focused on building companies based on public sector data.

Noveck, Beth Simone and Daniel L. Goroff. “Information for Impact: Liberating Nonprofit Sector Data.” The Aspen Institute Philanthropy & Social Innovation Publication Number 13-004. 2013. http://bit.ly/WDxd7p.

  • This report is focused on “obtaining better, more usable data about the nonprofit sector,” which encompasses, as of 2010, “1.5 million tax-exempt organizations in the United States with $1.51 trillion in revenues.”
  • Toward that goal, the authors propose liberating data from the Form 990, an Internal Revenue Service form that “gathers and publishes a large amount of information about tax-exempt organizations,” including information related to “governance, investments, and other factors not directly related to an organization’s tax calculations or qualifications for tax exemption.”
  • The authors recommend a two-track strategy: “Pursuing the longer-term goal of legislation that would mandate electronic filing to create open 990 data, and pursuing a shorter-term strategy of developing a third party platform that can demonstrate benefits more immediately.”

Robinson, David G., Harlan Yu, William P. Zeller, and Edward W. Felten, “Government Data and the Invisible Hand.” Yale Journal of Law & Technology 11 (2009), http://bit.ly/1c2aDLr.

  • This paper proposes a new approach to online government data that “leverages both the American tradition of entrepreneurial self-reliance and the remarkable low-cost flexibility of contemporary digital technology.”
  • “In order for public data to benefit from the same innovation and dynamism that characterize private parties’ use of the Internet, the federal government must reimagine its role as an information provider. Rather than struggling, as it currently does, to design sites that meet each end-user need, it should focus on creating a simple, reliable and publicly accessible infrastructure that ‘exposes’ the underlying data.”
Ubaldi, Barbara. “Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives.” OECD Working Papers on Public Governance. Paris: Organisation for Economic Co-operation and Development, May 27, 2013. http://bit.ly/15OB6qP.

  • This working paper from the OECD seeks to provide an all-encompassing look at the principles, concepts and criteria framing open government data (OGD) initiatives.
  • Ubaldi also analyzes a variety of challenges to implementing OGD initiatives, including policy, technical, economic and financial, organizational, cultural and legal impediments.
  • The paper also proposes a methodological framework for evaluating OGD Initiatives in OECD countries, with the intention of eventually “developing a common set of metrics to consistently assess impact and value creation within and across countries.”

Worthy, Ben. “David Cameron’s Transparency Revolution? The Impact of Open Data in the UK.” SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, November 29, 2013. http://bit.ly/NIrN6y.

  • In this article, Worthy “examines the impact of the UK Government’s Transparency agenda, focusing on the publication of spending data at local government level. It measures the democratic impact in terms of creating transparency and accountability, public participation and everyday information.”
  • Worthy’s findings, based on surveys of local authorities, interviews and FOI requests, are disappointing. He finds that:
    • Open spending data has led to some government accountability, but largely from those already monitoring government, not regular citizens.
    • Open Data has not led to increased participation, “as it lacks the narrative or accountability instruments to fully bring such effects.”
    • It has also not “created a new stream of information to underpin citizen choice, though new innovations offer this possibility. The evidence points to third party innovations as the key.
  • Despite these initial findings, “Interviewees pointed out that Open Data holds tremendous opportunities for policy-making. Joined up data could significantly alter how policy is made and resources targeted. From small scale issues e.g. saving money through prescriptions to targeting homelessness or health resources, it can have a transformative impact. “

Zuiderwijk, Anneke, Marijn Janssen, Sunil Choenni, Ronald Meijer and Roexsana Sheikh Alibaks. “Socio-technical Impediments of Open Data.” Electronic Journal of e-Government 10, no. 2 (2012). http://bit.ly/17yf4pM.

  • This paper to seeks to identify the socio-technical impediments to open data impact based on a review of the open data literature, as well as workshops and interviews.
  • The authors discovered 118 impediments across ten categories: 1) availability and access; 2) find-ability; 3) usability; 4) understandability; 5) quality; 6) linking and combining data; 7) comparability and compatibility; 8) metadata; 9) interaction with the data provider; and 10) opening and uploading.

Zuiderwijk, Anneke and Marijn Janssen. “Open Data Policies, Their Implementation and Impact: A Framework for Comparison.” Government Information Quarterly 31, no. 1 (January 2014): 17–29. http://bit.ly/1bQVmYT.

  • In this article, Zuiderwijk and Janssen argue that “currently there is a multiplicity of open data policies at various levels of government, whereas very little systematic and structured research [being] done on the issues that are covered by open data policies, their intent and actual impact.”
  • With this evaluation deficit in mind, the authors propose a new framework for comparing open data policies at different government levels using the following elements for comparison:
    • Policy environment and context, such as level of government organization and policy objectives;
    • Policy content (input), such as types of data not publicized and technical standards;
    • Performance indicators (output), such as benefits and risks of publicized data; and
    • Public values (impact).

To stay current on recent writings and developments on Open Data, please subscribe to the GovLab Digest.
Did we miss anything? Please submit reading recommendations to biblio@thegovlab.org or in the comments below.

Focus on Migration: A tech ‘wiki’ site could improve lives

Curated on Posted on by Stefaan Verhulst

Max Martin in SciDev: “Wikipedia is probably the best example of a website that allows users to share and edit information in real time. But several other sites based on the ‘wiki’ model provide a sharing platform specifically for technologies that could help improve lives in the developing world.
One such site, Appropedia, is aimed at collaborative solutions in sustainability, appropriate technology and poverty reduction. Appropedia has had 50 million hits since its 2006 inception and is getting a facelift that will allow it to reach more people.
Such a one-stop information point offers tremendous scope for informing people on the move about green, low-cost and locally owned technologies. A website like Appropedia could function as a clearing house for information on technologies that could make life easier for migrants who are forced to travel and live rough in poor settings — as long as the information is reliable.
For example, displaced people building new homes after a disaster has struck face many choices over the materials they use, as I’ve written previously. The wiki site could be a place for them to swap experiences and learn what has worked for others in different settings.
It could also host advice for people on the move about affordable transport, healthcare and humanitarian aid locations, plus tips for staying safe while travelling in unfamiliar territory and what to pack when camping out in the open.
It could also help channel relevant innovations from other settings to migrants. For example, some villagers in flood-prone areas of Bangladesh grow crops on ‘floating gardens’ made using bamboo-pole rafts lined with soil water hyacinths and cow dung. [1] A local group in India’s frequently flooded Bihar state has shown how to make a life jacket using just plastic bottles, sticky tape, fast-drying cotton and thread. [2] Both of these concepts could be useful for other peoples affected by floods and a dedicated wiki could help disseminate know-how and review the technologies’ safety, reliability and suitability for different locations.
Of course, an information wiki for migrants must offer reliable information. This could be achieved by involving a specialist agency or a consortium of humanitarian groups who could invite experts and local practitioners to review and edit posts.”

The GovLab Index: Designing for Behavior Change

Curated on Posted on by Stefaan Verhulst

Please find below the latest installment in The GovLab Index series, inspired by the Harper’s Index. “The GovLab Index: Designing for Behavior Change” explores the recent application of psychology and behavioral economics towards solving social issues and shaping public policy and programs. Previous installments include The Networked Public, Measuring Impact with Evidence, Open Data, The Data Universe, Participation and Civic Engagement and Trust in Institutions.

  • Year the Behavioural Insights or “Nudge” Team was established by David Cameron in the U.K.: 2010
  • Amount saved by the U.K. Courts Service a year by sending people owing fines personalized text messages to persuade them to pay promptly since the creation of the Nudge unit: £30m
    • Entire budget for the Behavioural Insights Team: less than £1 million
    • Estimated reduction in bailiff interventions through the use of personalized text reminders: 150,000 fewer interventions annually
  • Percentage increase among British residents who paid their taxes on time when they received a letter saying that most citizens in their neighborhood pay their taxes on time: 15%
  • Estimated increase in organ-donor registrations in the U.K. if people are asked “If you needed an organ transplant, would you take one?”: 96,000
  • Proportion of employees who now have a workplace pension since the U.K. government switched from opt-in to opt-out (illustrating the power of defaults): 83%, 63% before opt-out
  • Increase in 401(k) enrollment rates within the U.S. by changing the default from ‘opt in’ to ‘opt out’: from 13% to 80%
  • Behavioral studies have shown that consumers overestimate savings from credit cards with no annual fees. Reduction in overall borrowing costs to consumers by requiring card issuers to tell consumers how much it would cost them in fees and interest, under the 2009 CARD Act in the U.S.: 1.7% of average daily balances 
  • Many high school students and their families in the U.S. find financial aid forms for college complex and thus delay filling them out. Increase in college enrollment as a result of being helped to complete the FAFSA financial aid form by an H&R tax professional, who then provided immediate estimates of the amount of aid the student was eligible for, and the net tuition cost of four nearby public colleges: 26%
  • How much more likely people are to keep accounting records, calculate monthly revenues, and separate their home and business books if given “rules of thumb”-based training with regards to managing their finances, according to a randomized control trial conducted in a bank in the Dominican Republic: 10%
  • Elderly Americans are asked to choose from over 40 options when enrolling in Medicaid Part D private drug plans. How many switched plans to save money when they received a letter providing information about three plans that would be cheaper for them: almost double 
    • The amount saved on average per person by switching plans due to this intervention: $150 per year
  • Increase in prescriptions to manage cardiac disease when Medicaid enrollees are sent a suite of behavioral nudges such as more salient description of the consequences of remaining untreated and post-it note reminders during an experiment in the U.S.: 78%
  • Reduction in street-litter when a trail of green footprints leading to nearby garbage cans is stenciled on the ground during an experiment in Copenhagen, Denmark: 46%
  • Reduction in missed National Health Service appointments in the U.K. when patients are asked to fill out their own appointment cards: 18%
    • Reduction in missed appointments when patients are also made aware of the number of people who attend their appointments on time: 31%
    • The cost of non-attendance per year for the National Health Service: £700m 
  • How many people in a U.S. experiment chose to ‘downsize’ their meals when asked, regardless of whether they received a discount for the smaller portion: 14-33%
    • Average reduction in calories as a result of downsizing: 200
  • Number of households in the U.K. without properly insulated attics, leading to high energy consumption and bills: 40%
    • Result of offering group discounts to motivate households to insulate their attics: no effect
    • Increase in households that agreed to insulate their attics when offered loft-clearing services even though they had to pay for the service: 4.8 fold increase

Full list and sources at http://thegovlab.org/the-govlab-index-designing-for-behavior-change/