Entrepreneurs Shape Free Data Into Money

Curated on Posted on by Stefaan Verhulst
Angus Loten in the Wall Street Journal: “More cities are putting information on everything from street-cleaning schedules to police-response times and restaurant inspection reports in the public domain, in the hope that people will find a way to make money off the data.
Supporters of such programs often see them as a local economic stimulus plan, allowing software developers and entrepreneurs in cities ranging from San Francisco to South Bend, Ind., to New York, to build new businesses based on the information they get from government websites.
When Los Angeles Mayor Eric Garcetti issued an executive directive last month to launch the city’s open-data program, he cited entrepreneurs and businesses as important beneficiaries. Open-data promotes innovation and “gives companies, individuals, and nonprofit organizations the opportunity to leverage one of government’s greatest assets: public information,” according to the Dec. 18 directive.
A poster child for the movement might be 34-year-old Matt Ehrlichman of Seattle, who last year built an online business in part using Seattle work permits, professional licenses and other home-construction information gathered up by the city’s Department of Planning and Development.
While his website is free, his business, called Porch.com, has more than 80 employees and charges a $35 monthly fee to industry professionals who want to boost the visibility of their projects on the site.
The site gathers raw public data—such as addresses for homes under renovation, what they are doing, who is doing the work and how much they are charging—and combines it with photos and other information from industry professionals and homeowners. It then creates a searchable database for users to compare ideas and costs for projects near their own neighborhood.
…Ian Kalin, director of open-data services at Socrata, a Seattle-based software firm that makes the back-end applications for many of these government open-data sites, says he’s worked with hundreds of companies that were formed around open data.
Among them is Climate Corp., a San Francisco-based firm that collects weather and yield-forecasting data to help farmers decide when and where to plant crops. Launched in 2006, the firm was acquired in October by Monsanto Co. MON -2.90% , the seed-company giant, for $930 million.
Overall, the rate of new business formation declined nationally between 2006 and 2010. But according to the latest data from the Ewing Marion Kauffman Foundation, an entrepreneurship advocacy group in Kansas City, Mo., the rate of new business formation in Seattle in 2011 rose 9.41% in 2011, compared with the national average of 3.9%.
Other cities where new business formation was ahead of the national average include Chicago, Austin, Texas, Baltimore, and South Bend, Ind.—all cities that also have open-data programs. Still, how effective the ventures are in creating jobs is difficult to gauge.
One wrinkle: privacy concerns about the potential for information—such as property tax and foreclosure data—to be misused.
Some privacy advocates fear that government data that include names, addresses and other sensitive information could be used by fraudsters to target victims.”

Open Government Strategy Continues with US Currency Production API

Curated on Posted on by Stefaan Verhulst

Eric Carter in the ProgrammableWeb: “Last year, the Executive branch of the US government made huge strides in opening up government controlled data to the developer community. Projects such as the Open Data Policy and the Machine Readable Executive Order have led the US government to develop an API strategy. Today, ProgrammableWeb takes a look at another open government API: the Annual Production Figures of United States Currency API.

The US Treasury’s Bureau of Engraving and Printing (BEP) provides the dataset available through the Production Figures API. The data available consists of the number of $1, $5, $10, $20, $50, $100 notes printed each year from 1980 to 2012. With this straightforward, seemingly basic set of data available, the question becomes: “Why is this data useful“? To answer this, one should consider the purpose of the Executive Order:

“Openness in government strengthens our democracy, promotes the delivery of efficient and effective services to the public, and contributes to economic growth. As one vital benefit of open government, making information resources easy to find, accessible, and usable can fuel entrepreneurship, innovation, and scientific discovery that improves Americans’ lives and contributes significantly to job creation.”

The API uses HTTP and can return requests in XML, JSON, or CSV data formats. As stated, the API retrieves the number of bills of a designated currency for the desired year. For more information and code samples, visit the API docs.”
 

Introduction to Linked Open Data (LOD)

Curated on Posted on by Stefaan Verhulst
Paper by Ivan Herman, presented at the International Conference on Dublin Core and Metadata Applications 2013: “The goal of the tutorial is to introduce the audience into the basics of the technologies used for Linked Data. This includes RDF, RDFS, main elements of SPARQL, SKOS, and OWL. Some general guidelines on publishing data as Linked Data will also be provided, as well as real-life usage examples of the various technologies.”

Full Text: PDF (Description)  |  PDF (Presentation)

The GovLab Index: Open Data

Curated on Posted on by Stefaan Verhulst

Please find below the latest installment in The GovLab Index series, inspired by Harper’s Index. “The GovLab Index: Open Data — December 2013” provides an update on our previous Open Data installment, and highlights global trends in Open Data and the release of public sector information. Previous installments include Measuring Impact with Evidence, The Data Universe, Participation and Civic Engagement and Trust in Institutions.
Value and Impact

  • Potential global value of open data estimated by McKinsey: $3 trillion annually
  • Potential yearly value for the United States: $1.1 trillion 
  • Europe: $900 billion
  • Rest of the world: $1.7 trillion
  • How much the value of open data is estimated to grow per year in the European Union: 7% annually
  • Value of releasing UK’s geospatial data as open data: 13 million pounds per year by 2016
  • Estimated worth of business reuse of public sector data in Denmark in 2010: more than €80 million a year
  • Estimated worth of business reuse of public sector data across the European Union in 2010: €27 billion a year
  • Total direct and indirect economic gains from easier public sector information re-use across the whole European Union economy, as of May 2013: €140 billion annually
  • Economic value of publishing data on adult cardiac surgery in the U.K., as of May 2013: £400 million
  • Economic value of time saved for users of live data from the Transport for London apps, as of May 2013: between £15 million and £58 million
  • Estimated increase in GDP in England and Wales in 2008-2009 due to the adoption of geospatial information by local public services providers: +£320m
  • Average decrease in borrowing costs in sovereign bond markets for emerging market economies when implementing transparent practices (measured by accuracy and frequency according to IMF policies, across 23 countries from 1999-2002): 11%
  • Open weather data supports an estimated $1.5 billion in applications in the secondary insurance market – but much greater value comes from accurate weather predictions, which save the U.S. annually more than $30 billion
  • Estimated value of GPS data: $90 billion

Efforts and Involvement

  • Number of U.S. based companies identified by the GovLab that use government data in innovative ways: 500
  • Number of open data initiatives worldwide in 2009: 2
  • Number of open data initiatives worldwide in 2013: over 300
  • Number of countries with open data portals: more than 40
  • Countries who share more information online than the U.S.: 14
  • Number of cities globally that participated in 2013 International Open Data Hackathon Day: 102
  • Number of U.S. cities with Open Data Sites in 2013: 43
  • U.S. states with open data initiatives: 40
  • Membership growth in the Open Government Partnership in two years: from 8 to 59 countries
  • Number of time series indicators (GDP, foreign direct investment, life expectancy, internet users, etc.) in the World Bank Open Data Catalog: over 8,000
  • How many of 77 countries surveyed by the Open Data Barometer have some form of Open Government Data Initiative: over 55%
  • How many OGD initiatives have dedicated resources with senior level political backing: over 25%
  • How many countries are in the Open Data Index: 70
    • How many of the 700 key datasets in the Index are open: 84
  • Number of countries in the Open Data Census: 77
    • How many of the 727 key datasets in the Census are open: 95
  • How many countries surveyed have formal data policies in 2013: 55%
  • Those who have machine-readable data available: 25%
  • Top 5 countries in Open Data rankings: United Kingdom, United States, Sweden, New Zealand, Norway
  • The different levels of Open Data Certificates a data user or publisher can achieve “along the way to world-class open data”: 4 levels, Raw, Pilot, Standard and Expert
  • The number of data ecosystems categories identified by the OECD: 3, data producers, infomediaries, and users

Examining Datasets…
FULL VERSION AT http://thegovlab.org/govlab-index-open-data-updated/
 

Building Creative Commons: The Five Pillars Of Open Source Finance

Curated on Posted on by Stefaan Verhulst

Brett Scott: “This is an article about Open Source Finance. It’s an idea I first sketched out at a talk I gave at the Open Data Institute in London. By ‘Open Source Finance’, I don’t just mean open source software programmes. Rather, I’m referring to something much deeper and broader. It’s a way of framing an overall change we might want to see in the financial system….

You can thus take on five conceptually separate, but mutualistic roles: Producer, consumer, validator, community member, or (competitive or complementary) breakaway. And these same five elements can underpin a future system of Open Source Finance. I’m framing this as an overall change we might want to see in the financial system, but perhaps we are already seeing it happening. So let’s look briefly at each pillar in turn.
Pillar 1: Access to the means of financial production
Very few of us perceive ourselves as offering financial services when we deposit our money in banks. Mostly we perceive ourselves as passive recipients of services. Put another way, we frequently don’t imagine we have the capability to produce financial services, even though the entire financial system is foundationally constructed from the actions of small-scale players depositing money into banks and funds, buying the products of companies that receive loans, and culturally validating the money system that the banks uphold. Let’s look though, at a few examples of prototypes that are breaking this down:

  1. Peer-to-peer finance models: If you decide to lend money to your friend, you directly perceive yourself as offering them a service. P2P finance platforms extend that concept far beyond your circle of close contacts, so that you can directly offer a financial service to someone who needs it. In essence, such platforms offer you access to an active, direct role in producing financial services, rather than an indirect, passive one.
  2. There are many interesting examples of actual open source financial software aimed at helping to fulfil the overall mission of an open source financial system. Check out Mifos and Cyclos, and Hamlets (developed by Community Forge’s Matthew Slater and others), all of which are designed to help people set up their own financial institutions
  3. Alternative currencies: There’s a reason why the broader public are suddenly interested in understanding Bitcoin. It’s a currency that people have produced themselves. As a member of the Bitcoin community, I am much more aware of my role in upholding – or producing – the system, than I am when using normal money, which I had no conscious role in producing. The scope toinvent your own currency goes far beyond crypto-currencies though: local currencies, time-banks, and mutual credit systems are emerging all over
  4. The Open Bank Project is trying to open up banks to third party apps that would allow a depositor to have much greater customisability of their bank account. It’s not aimed at bypassing banks in the way that P2P is, but it’s seeking to create an environment where an ecosystem of alternative systems can plug into the underlying infrastructure provided by banks

Pillar 2: Widespread distribution
Financial intermediaries like banks and funds serve as powerful gatekeepers to access to financing. To some extent this is a valid role – much like a publisher or music label will attempt to only publish books or music that they believe are high quality enough – but on the other hand, this leads to excessive power vested in the intermediaries, and systematic bias in what gets to survive. When combined with a lack of democratic accountability on the part of the intermediaries, you can have whole societies held hostage to the (arbitrary) whims, prejudices and interests of such intermediaries. Expanding access to financial services is thus a big front in the battle for financial democratisation. In addition to more traditional means to buildingfinancial inclusion – such as credit unions and microfinance – here are two areas to look at:

  • Crowdfunding: In the dominant financial system, you have to suck up to a single set of gatekeepers to get financing, hoping they won’t exclude you. Crowdfunding though, has expanded access to receiving financial services to a whole host of people who previously wouldn’t have access, such as artists, small-scale filmmakers, activists, and entrepreneurs with no track record. Crowdfunding can serve as a micro redistribution system in society, offering people a direct way to transfer wealth to areas that traditional welfare systems might neglect
  • Mobile banking: This is a big area, with important implications for international development and ICT4D. Check out innovations like M-Pesain Kenya, a technology to use mobile phones as proto-bank accounts. This in itself doesn’t necessarily guarantee inclusion, but it expands potential access to the system to people that most banks ignore

Pillar 3: The ability to monitor
Do you know where the money in the big banks goes? No, of course not. They don’t publish it, under the guise of commercial secrecy and confidentiality. It’s like they want to have their cake and eat it: “We’ll act as intermediaries on your behalf, but don’t ever ask for any accountability”. And what about the money in your pension fund? Also very little accountability. The intermediary system is incredibly opaque, but attempts to make it more transparent are emerging. Here are some examples:

  • Triodos Bank and Charity Bank are examples of banks that publish exactly what projects they lend to. This gives you the ability to hold them to account in a way that no other bank will allow you to do
  • Corporations are vehicles for extracting value out of assets and then distributing that value via financial instruments to shareholders and creditors. Corporate structures though, including those used by banks themselves, have reached a level of complexity approaching pure obsfucation. There can be no democratic accountability when you can’t even see who owns what, and how the money flows. Groups likeOpenCorporates and Open Oil though, are offering new open data tools to shine a light on the shadowy world of tax havens, ownership structures and contracts
  • Embedded in peer-to-peer models is a new model of accountability too. When people are treated as mere account numbers with credit scores by banks, the people in return feel little accountability towards the banks. On the other hand, if an individual has directly placed trust in me, I feel much more compelled to respect that

Pillar 4: An ethos of non-prescriptive DIY collaboration
At the heart of open source movements is a deep DIY ethos. This is in part about the sheer joy of producing things, but also about asserting individual power over institutionalised arrangements and pre-established officialdom. Alongside this, and deeply tied to the DIY ethos, is the search to remove individual alienation: You are not a cog in a wheel, producing stuff you don’t have a stake in, in order to consume stuff that you don’t know the origins of. Unalienated labour includes the right to produce where you feel most capable or excited.
This ethos of individual responsibility and creativity stands in contrast to the traditional passive frame of finance that is frequently found on both the Right and Left of the political spectrum. Indeed, the debates around ‘socially useful finance’ are seldom about reducing the alienation of people from their financial lives. They’re mostly about turning the existing financial sector into a slightly more benign dictatorship. The essence of DIY though, is to band together, not via the enforced hierarchy of the corporation or bureaucracy, but as part of a likeminded community of individuals creatively offering services to each other. So let’s take a look at a few examples of this

  1. BrewDog’s ‘Equity for Punks‘ share offering is probably only going to attract beer-lovers, but that’s the point – you get together as a group who has a mutual appreciation for a project, and you finance it, and then when you’re drinking the beer you’ll know you helped make it happen in a small way
  2. Community shares offer local groups the ability to finance projects that are meaningful to them in a local area. Here’s one for a solar co-operative, a pub, and a ferry boat service in Bristol
  3. We’ve already discussed how crowdfunding platforms open access to finance to people excluded from it, but they do this by offering would-be crowdfunders the chance to support things that excite them. I don’t have much cash, so I’m not in a position to actively finance people, but in my Indiegogo profile you can see I make an effort helping to publicise campaigns that I want to receive financing

Pillar 5: The right to fork
The right to dissent is a crucial component of a democratic society. But for dissent to be effective, it has to be informed and constructive, rather than reactive and regressive. There is much dissent towards the current financial system, but while people are free to voice their displeasure, they find it very difficult to actually act on their displeasure. We may loathe the smug banking oligopoly, but we’re frequently compelled to use them.
Furthermore, much dissent doesn’t have a clear vision of what alternative is sought. This is partially due to the fact that access to financial ‘source code’ is so limited. It’s hard to articulate ideas about what’s wrong when one cannot articulate how the current system operates. Most financial knowledge is held in proprietary formulations and obscure jargon-laden language within the financial sector, and this needs to change. It’s for this reason that I’m building the London School of Financial Activism, so ordinary people can explore the layers of financial code, from the deepest layer – the money itself – and then on to the institutions, instruments and networks that move it around….”

When Tech Culture And Urbanism Collide

Curated on Posted on by Stefaan Verhulst

John Tolva: “…We can build upon the success of the work being done at the intersection of technology and urban design, right now.

For one, the whole realm of social enterprise — for-profit startups that seek to solve real social problems — has a huge overlap with urban issues. Impact Engine in Chicago, for instance, is an accelerator squarely focused on meaningful change and profitable businesses. One of their companies, Civic Artworks, has set as its goal rebalancing the community planning process.

The Code for America Accelerator and Tumml, both located in San Francisco, morph the concept of social innovation into civic/urban innovation. The companies nurtured by CfA and Tumml are filled with technologists and urbanists working together to create profitable businesses. Like WorkHands, a kind of LinkedIn for blue collar trades. Would something like this work outside a city? Maybe. Are its effects outsized and scale-ready in a city? Absolutely. That’s the opportunity in urban innovation.

Scale is what powers the sharing economy and it thrives because of the density and proximity of cities. In fact, shared resources at critical density is one of the only good definitions for what a city is. It’s natural that entrepreneurs have overlaid technology on this basic fact of urban life to amplify its effects. Would TaskRabbit, Hailo or LiquidSpace exist in suburbia? Probably, but their effects would be minuscule and investors would get restless. The city in this regard is the platform upon which sharing economy companies prosper. More importantly, companies like this change the way the city is used. It’s not urban planning, but it is urban (re)design and it makes a difference.

A twist that many in the tech sector who complain about cities often miss is that change in a city is not the same thing as change in city government. Obviously they are deeply intertwined; change is mighty hard when it is done at cross-purposes with government leadership. But it happens all the time. Non-government actors — foundations, non-profits, architecture and urban planning firms, real estate developers, construction companies — contribute massively to the shape and health of our cities.

Often this contribution is powered through policies of open data publication by municipal governments. Open data is the raw material of a city, the vital signs of what has happened there, what is happening right now, and the deep pool of patterns for what might happen next.

Tech entrepreneurs would do well to look at the organizations and companies capitalizing on this data as the real change agents, not government itself. Even the data in many cases is generated outside government. Citizens often do the most interesting data-gathering, with tools like LocalData. The most exciting thing happening at the intersection of technology and cities today — what really makes them “smart” — is what is happening at the periphery of city government. It’s easy to belly-ache about government and certainly there are administrations that to do not make data public (or shut it down), but tech companies who are truly interested in city change should know that there are plenty of examples of how to start up and do it.

And yet, the somewhat staid world of architecture and urban-scale design presents the most opportunity to a tech community interested in real urban change. While technology obviously plays a role in urban planning — 3D visual design tools like Revit and mapping services like ArcGIS are foundational for all modern firms — data analytics as a serious input to design matters has only been used in specialized (mostly energy efficiency) scenarios. Where are the predictive analytics, the holistic models, the software-as-a-service providers for the brave new world of urban informatics and The Internet of Things? Technologists, it’s our move.

Something’s amiss when some city governments — rarely the vanguard in technological innovation — have more sophisticated tools for data-driven decision-making than the private sector firms who design the city. But some understand the opportunity. Vannevar Technology is working on it, as is Synthicity. There’s plenty of room for the most positive aspects of tech culture to remake the profession of urban planning itself. (Look to NYU’s Center for Urban Science and Progress and the University of Chicago’s Urban Center for Computation and Data for leadership in this space.)…”

6 New Year’s Strategies for Open Data Entrepreneurs

Curated on Posted on by Stefaan Verhulst

The GovLab’s Senior Advisor Joel Gurin: “Open Data has fueled a wide range of startups, including consumer-focused websites, business-to-business services, data-management tech firms, and more. Many of the companies in the Open Data 500 study are new ones like these. New Year’s is a classic time to start new ventures, and with 2014 looking like a hot year for Open Data, we can expect more startups using this abundant, free resource. For my new book, Open Data Now, I interviewed dozens of entrepreneurs and distilled six of the basic strategies that they’ve used.
1. Learn how to add value to free Open Data. We’re seeing an inversion of the value proposition for data. It used to be that whoever owned the data—particularly Big Data—had greater opportunities than those who didn’t. While this is still true in many areas, it’s also clear that successful businesses can be built on free Open Data that anyone can use. The value isn’t in the data itself but rather in the analytical tools, expertise, and interpretation that’s brought to bear. One oft-cited example: The Climate Corporation, which built a billion-dollar business out of government weather and satellite data that’s freely available for use.
2. Focus on big opportunities: health, finance, energy, education. A business can be built on just about any kind of Open Data. But the greatest number of startup opportunities will likely be in the four big areas where the federal government is focused on Open Data release. Last June’s Health Datapalooza showcased the opportunities in health. Companies like Opower in energy, GreatSchools in education, and Calcbench, SigFig, and Capital Cube in finance are examples in these other major sectors.
3. Explore choice engines and Smart Disclosure apps. Smart Disclosure – releasing data that consumers can use to make marketplace choices – is a powerful tool that can be the basis for a new sector of online startups. No one, it seems, has quite figured out how to make this form of Open Data work best, although sites like CompareTheMarket in the UK may be possible models. Business opportunities await anyone who can find ways to provide these much-needed consumer services. One example: Kayak, which competed in the crowded travel field by providing a great consumer interface, and which was sold to Priceline for $1.8 billion last year.
4. Help consumers tap the value of personal data. In a privacy-conscious society, more people will be interested in controlling their personal data and sharing it selectively for their own benefit. The value of personal data is just being recognized, and opportunities remain to be developed. There are business opportunities in setting up and providing “personal data vaults” and more opportunity in applying the many ways they can be used. Personal and Reputation.com are two leaders in this field.
5. Provide new data solutions to governments at all levels. Government datasets at the federal, state, and local level can be notoriously difficult to use. The good news is that these governments are now realizing that they need help. Data management for government is a growing industry, as Socrata, OpenGov, 3RoundStones, and others are finding, while companies like Enigma.io are turning government data into a more usable resource.
6. Look for unusual Open Data opportunities. Building a successful business by gathering data on restaurant menus and recipes is not an obvious route to success. But it’s working for Food Genius, whose founders showed a kind of genius in tapping an opportunity others had missed. While the big areas for Open Data are becoming clear, there are countless opportunities to build more niche businesses that can still be highly successful. If you have expertise in an area and see a customer need, there’s an increasingly good chance that the Open Data to help meet that need is somewhere to be found.”

Open data policies, their implementation and impact: A framework for comparison

Curated on Posted on by Stefaan Verhulst

Paper by A Zuiderwijk, M Janssen in the Government Information Quarterly: “In developing open data policies, governments aim to stimulate and guide the publication of government data and to gain advantages from its use. Currently there is a multiplicity of open data policies at various levels of government, whereas very little systematic and structured research has been done on the issues that are covered by open data policies, their intent and actual impact. Furthermore, no suitable framework for comparing open data policies is available, as open data is a recent phenomenon and is thus in an early stage of development. In order to help bring about a better understanding of the common and differentiating elements in the policies and to identify the factors affecting the variation in policies, this paper develops a framework for comparing open data policies. The framework includes the factors of environment and context, policy content, performance indicators and public values. Using this framework, seven Dutch governmental policies at different government levels are compared. The comparison shows both similarities and differences among open data policies, providing opportunities to learn from each other’s policies. The findings suggest that current policies are rather inward looking, open data policies can be improved by collaborating with other organizations, focusing on the impact of the policy, stimulating the use of open data and looking at the need to create a culture in which publicizing data is incorporated in daily working processes. The findings could contribute to the development of new open data policies and the improvement of existing open data policies.”

How could technology improve policy-making?

Curated on Posted on by Stefaan Verhulst

Beccy Allen from the Hansard Society (UK): “How can civil servants be sure they have the most relevant, current and reliable data? How can open data be incorporated into the policy making process now and what is the potential for the future use of this vast array of information? How can parliamentary clerks ensure they are aware of the broadest range of expert opinion to inform committee scrutiny? And how can citizens’ views help policy makers to design better policy at all stages of the process?
These are the kind of questions that Sense4us will be exploring over the next three years. The aim is to build a digital tool for policy-makers that can:

  1. locate a broad range of relevant and current information, specific to a particular policy, incorporating open data sets and citizens’ views particularly from social media; and
  2. simulate the consequences and impact of potential policies, allowing policy-makers to change variables and thereby better understand the likely outcomes of a range of policy options before deciding which to adopt.

It is early days for open data and open policy making. The word ‘digital’ peppers the Civil Service Reform Plan but the focus is often on providing information and transactional services digitally. Less attention is paid to how digital tools could improve the nature of policy-making itself.
The Sense4us tool aims to help bridge the gap. It will be developed in consultation with policy-makers at different levels of government across Europe to ensure its potential use by a wide range of stakeholders. At the local level, our partners GESIS (the Leibniz-Institute for the Social Sciences) will be responsible for engaging with users at the city level in Berlin and in the North Rhine-Westphalia state legislature At the multi-national level Government to You (Gov2u) will engage with users in the European Parliament and Commission. Meanwhile the Society will be responsible for national level consultation with civil servants, parliamentarians and parliamentary officials in Whitehall and Westminster exploring how the tool can be used to support the UK policy process. Our academic partners leading on technical development of the tool are the IT Innovation Centre at Southampton University, eGovlab at Stockholm University, the University of Koblenz-Landau and the Knowledge Media Institute at the Open University.”

Open Data in Action

Curated on Posted on by Stefaan Verhulst
Nick Sinai at the White House: “Over the past few years, the Administration has launched a series of Open Data Initiatives, which, have released troves of valuable data in areas such as health, energy, education, public safety, finance, and global development…
Today, in furtherance of this exciting economic dynamic, The Governance Lab (The GovLab) —a research institution at New York University—released the beta version of its Open Data 500 project—an initiative designed to identify, describe, and analyze companies that use open government data in order to study how these data can serve business needs more effectively. As part of this effort, the organization is compiling a list of 500+ companies that use open government data to generate new business and develop new products and services.
This working list of 500+ companies, from sectors ranging from real estate to agriculture to legal services, shines a spotlight on surprising array of innovative and creative ways that open government data is being used to grow the economy – across different company sizes, different geographies, and different industries. The project includes information about  the companies and what government datasets they have identified as critical resources for their business.
Some of examples from the Open Data 500 Project include:
  • Brightscope, a San Diego-based company that leverages data from the Department of Labor, the Security and Exchange Commission, and the Census Bureau to rate consumers’ 401k plans objectively on performance and fees, so companies can choose better plans and employees can make better decisions about their retirement options.
  • AllTuition, a  Chicago-based startup that provides services—powered by data from Department of Education on Federal student financial aid programs and student loans— to help students and parents manage the financial-aid process for college, in part by helping families keep track of deadlines, and walking them through the required forms.
  • Archimedes, a San Francisco healthcare modeling and analytics company, that leverages  Federal open data from the National Institutes of Health, the Centers for Disease Control and Prevention, and the Center for Medicaid and Medicare Services, to  provide doctors more effective individualized treatment plans and to enable patients to make informed health decisions.
You can learn more here about the project and view the list of open data companies here.

See also:
Open Government Data: Companies Cash In

NYU project touts 500 top open-data firms”