Freedom of Information, Right to Access Information, Open Data: Who is at the Table?


Elizabeth Shepherd in The Round Table: The Commonwealth Journal of International Affairs: “Many national governments have adopted the idea of the ‘right to access information’ (RTI) or ‘freedom of information’ (FOI) as an essential element of the rights of citizens to freedom of opinion and expression, human rights, trust in public discourse and transparent, accountable and open government. Over 100 countries worldwide have introduced access to information legislation: 50+ in Europe; a dozen in Africa; 20 in the Americas and Caribbean; more than 15 in Asia and the Pacific; and two in the Middle East (Banisar, 2014). This article will provide an overview of access to information legislation and focus on the UK Freedom of Information Act 2000 as a case example. It will discuss the impact of the UK FOI Act on public authorities, with particular attention to records management implications, drawing on research undertaken by University College London. In the final section, it will reflect on relationships between access to information and open government data. If governments are moving to more openness, what implications might this have for those charged with implementing FOI and RTI policies, including for records management professionals?…(More)”

Tech and Innovation to Re-engage Civic Life


Hollie Russon Gilman at the Stanford Social Innovation Review: “Sometimes even the best-intentioned policymakers overlook the power of people. And even the best-intentioned discussions on social impact and leveraging big data for the social sector can obscure the power of every-day people in their communities.

But time and time again, I’ve seen the transformative power of civic engagement when initiatives are structured well. For example, the other year I witnessed a high school student walk into a school auditorium one evening during Boston’s first-ever youth-driven participatory budgeting project. Participatory budgeting gives residents a structured opportunity to work together to identify neighborhood priorities, work in tandem with government officials to draft viable projects, and prioritize projects to fund. Elected officials in turn pledge to implement these projects and are held accountable to their constituents. Initially intrigued by an experiment in democracy (and maybe the free pizza), this student remained engaged over several months, because she met new members of her community; got to interact with elected officials; and felt like she was working on a concrete objective that could have a tangible, positive impact on her neighborhood.

For many of the young participants, ages 12-25, being part of a participatory budgeting initiative is the first time they are involved in civic life. Many were excited that the City of Boston, in collaboration with the nonprofit Participatory Budgeting Project, empowered young people with the opportunity to allocate $1 million in public funds. Through participating, young people gain invaluable civic skills, and sometimes even a passion that can fuel other engagements in civic and communal life.

This is just one example of a broader civic and social innovation trend. Across the globe, people are working together with their communities to solve seemingly intractable problems, but as diverse as those efforts are, there are also commonalities. Well-structured civic engagement creates the space and provides the tools for people to exert agency over policies. When citizens have concrete objectives, access to necessary technology (whether it’s postcards, trucks, or open data portals), and an eye toward outcomes, social change happens.

Using Technology to Distribute Expertise

Technology is allowing citizens around the world to participate in solving local, national, and global problems. When it comes to large, public bureaucracies, expertise is largely top-down and concentrated. Leveraging technology creates opportunities for people to work together in new ways to solve public problems. One way is through civic crowdfunding platforms like Citizinvestor.com, which cities can use to develop public sector projects for citizen support; several cities in Rhode Island, Oregon, and Philadelphia have successfully pooled citizen resources to fund new public works. Another way is through citizen science. Old Weather, a crowdsourcing project from the National Archives and Zooniverse, enrolls people to transcribe old British ship logs to identify climate change patterns. Platforms like these allow anyone to devote a small amount of time or resources toward a broader public good. And because they have a degree of transparency, people can see the progress and impact of their efforts. ….(More)”

Do We Need to Educate Open Data Users?


Tony Hirst at IODC: “Whilst promoting the publication of open data is a key, indeed necessary, ingredient in driving the global open data agenda, promoting initiatives that support the use of open data is perhaps an even more pressing need….

This, then, is the first issue we need to address: improving basic levels of literacy in interpreting  – and manipulating (for example, sorting and grouping) – simple tables and charts. Sensemaking, in other words: what does the chart you’ve just produced actually say? What story does it tell? And there’s an added benefit that arises from learning to read and critique charts better – it makes you better at creating your own.

Associated with reading stories from data comes the reason for telling the story and putting the data to work. How does “data” help you make a decision, or track the impact of a particular intervention? (Your original question should also have informed the data you searched for in the first place). Here we have a need to develop basic skills in how to actually use data, from finding anomalies to hold publishers to account, to using the data as part of a positive advocacy campaign.

After a quick read, on site, of some of the stories the data might have to tell, there may be a need to do further analysis, or more elaborate visualization work. At this point, a range of technical craft skills often come into play, as well as statistical knowledge.

Many openly published datasets just aren’t that good – they’re “dirty”, full of misspellings, missing data, things in the wrong place or wrong format, even if the data they do contain is true. A significant amount of time that should be spent analyzing the data gets spent trying to clean the data set and get it into a form where it can be worked with. I would argue here that a data technician, with a wealth of craft knowledge about how to repair what is essentially a broken dataset, can play an important timesaving role here getting data into a state where an analyst can actually start to do their job analyzing the data.

But at the same time, there are a range of tools and techniques that can help the everyday user improve the quality of their data. Many of these tools require an element of programming knowledge, but less than you might at first think. In the Open University/FutureLean MOOC “Learn to Code for Data Analysis” we use an interactive notebook style of computing to show how you can use code literally one line at a time to perform powerful data cleaning, analysis, and visualization operations on a range of open datasets, including data from the World Bank and Comtrade.

Here, then, is yet another area where skills development may be required: statistical literacy. At its heart, statistics simply provide us with a range of tools for comparing sets of numbers. But knowing what comparisons to make, or the basis on which particular comparisons can be made, knowing what can be said about those comparisons or how they might be interpreted, in short, understanding what story the stats appear to be telling, can quickly become bewildering. Just as we need to improve sensemaking skills associated with reading charts, so to we need to develop skills in making sense of statistics, even if not actually producing those statistics ourselves.

As more data gets published, there are more opportunities for more people to make use of that data. In many cases, what’s likely to hold back that final data use is a skills gap: primary among these are the skills required to interpret simple datasets and the statistics associated with them associated with developing knowledge about how to make decisions or track progress based on that interpretation. However, the path to producing the statistics or visualizations used by the end-users from the originally published open data dataset may also be a windy one, requiring skills not only in analyzing data and uncovering – and then telling – the stories it contains, but also in more mundane technical operational concerns such as actually accessing, and cleaning, dirty datasets….(More)”

Open Government: Missing Questions


Vadym Pyrozhenko at Administration & Society: “This article places the Obama administration’s open government initiative within the context of evolution of the U.S. information society. It examines the concept of openness along the three dimensions of Daniel Bell’s social analysis of the postindustrial society: structure, polity, and culture. Four “missing questions” raise the challenge of the compatibility of public service values with the culture of openness, address the right balance between postindustrial information management practices and the capacity of public organizations to accomplish their missions, and ask to reconsider the idea that greater structural openness of public organizations will necessarily increase their democratic legitimacy….(More)”

 

Open government data: Out of the box


The Economist on “The open-data revolution has not lived up to expectations. But it is only getting started…

The app that helped save Mr Rich’s leg is one of many that incorporate government data—in this case, supplied by four health agencies. Six years ago America became the first country to make all data collected by its government “open by default”, except for personal information and that related to national security. Almost 200,000 datasets from 170 outfits have been posted on the data.gov website. Nearly 70 other countries have also made their data available: mostly rich, well-governed ones, but also a few that are not, such as India (see chart). The Open Knowledge Foundation, a London-based group, reckons that over 1m datasets have been published on open-data portals using its CKAN software, developed in 2010.

Jakarta’s Participatory Budget


Ramda Yanurzha in GovInsider: “…This is a map of Musrenbang 2014 in Jakarta. Red is a no-go, green means the proposal is approved.

To give you a brief background, musrenbang is Indonesia’s flavor of participatory, bottom-up budgeting. The idea is that people can propose any development for their neighbourhood through a multi-stage budgeting process, thus actively participating in shaping the final budget for the city level, which will then determine the allocation for each city at the provincial level, and so on.

The catch is, I’m confident enough to say that not many people (especially in big cities) are actually aware of this process. While civic activists tirelessly lament that the process itself is neither inclusive nor transparent, I’m leaning towards a simpler explanation that most people simply couldn’t connect the dots.

People know that the public works agency fixed that 3-foot pothole last week. But it’s less clear how they can determine who is responsible for fixing a new streetlight in that dark alley and where the money comes from. Someone might have complain to the neighbourhood leader (Pak RT) and somehow the message gets through, but it’s very hard to trace how it got through. Just keep complaining to the black box until you don’t have to. There are very few people (mainly researchers) who get to see the whole picture.

This has now changed because the brand-new Jakarta open data portal provides musrenbang data from 2009. Who proposed what to whom, for how much, where it should be implemented (geotagged!), down to kelurahan/village level, and whether the proposal is accepted into the final city budget. For someone who advocates for better availability of open data in Indonesia and is eager to practice my data wrangling skill, it’s a goldmine.

Diving In

data screenshot
All the different units of goods proposed.

The data is also, as expected, incredibly messy. While surprisingly most of the projects proposed are geotagged, there are a lot of formatting inconsistencies that makes the clean up stage painful. Some of them are minor (m? meter? meter2? m2? meter persegi?) while others are perplexing (latitude: -6,547,843,512,000  –  yes, that’s a value of more than a billion). Annoyingly, hundreds of proposals point to the center of the National Monument so it’s not exactly a representative dataset.

For fellow data wranglers, pull requests to improve the data are gladly welcome over here. Ibam generously wrote an RT extractor to yield further location data, and I’m looking into OpenStreetMap RW boundary data to create a reverse geocoder for the points.

A couple hours of scrubbing in OpenRefine yields me a dataset that is clean enough for me to generate the CartoDB map I embedded at the beginning of this piece. More precisely, it is a map of geotagged projects where each point is colored depending on whether it’s rejected or accepted.

Numbers and Patterns

40,511 proposals, some of them merged into broader ones, which gives us a grand total of 26,364 projects valued at over IDR 3,852,162,060,205, just over $250 million at the current exchange rate. This amount represents over 5% of Jakarta’s annual budget for 2015, with projects ranging from a IDR 27,500 (~$2) trash bin (that doesn’t sound right, does it?) in Sumur Batu to IDR 54 billion, 1.5 kilometer drainage improvement in Koja….(More)”

Will Open Data Policies Contribute to Solving Development Challenges?


Fabrizio Scrollini at IODC: “As the international open data charter  gains momentum  in the context of the wider development agenda related to the sustainable development goals set by the United Nations, a pertinent question to ask is: will open data policies contribute to solve development challenges? In this post  I try to answer this question grounded in recent Latin American experience to contribute to a global debate.

Latin America has been exploring open data since 2013, when  the first open data unconference (Abrelatam)and  conference took place in Montevideo. In September 2015 in Santiago de Chile a vibrant community of activists, public servants, and entrepreneurs gathered  in the third edition of Abrelatam and Condatos. It is now a more mature community. The days where it was sufficient to  just open a few datasets and set  up a portal are now gone. The focus of this meeting was on collaboration and use of data to address several social challenges.

Take for instance the health sector. Transparency in this sector is key to deliver better development goals. One of the panels at Condatos showed three different ways to use data to promote transparency and citizen empowerment in this sector. A tu servicio, a joint venture of DATA  and the Uruguayan Ministry of Health helped to standardize and open public datasets that allowed around 30,000 users to improve the way they choose health providers. Government-civil society collaboration was crucial in this process in terms pooling resources and skills. The first prototype was only possible because some data was already open.

This contrasts with Cuidados Intensivos, a Peruvian endeavour  aiming to provide key information about the health sector. Peruvian activists had to fill right to information requests, transform, and standardize data to eventually release it. Both experiences demanded a great deal of technical, policy, and communication craft. And both show the attitudes the public sector can take: either engaging or at the very best ignoring the potential of open data.

In the same sector look at a recent study dealing with Dengue and open data developed by our research initiative. If international organizations and countries were persuaded to adopt common standards for Dengue outbreaks, they could be potentially predicted if the right public data is available and standardized. Open data in this sector not only delivers accountability but also efficiency and foresight to allocate scarce resources.

Latin American countries – gathered in the open data group of the Red Gealc – acknowledge the increasing public value of open data. This group engaged constructively in Condatos with the principles enshrined in the charter and will foster the formalization of open data policies in the region. A data revolution won’t yield results if data is closed. When you open data you allow for several initiatives to emerge and show its value.

Once a certain level of maturity is reached in a particular sector, more than data is needed.  Standards are crucial to ensure comparability and ease the collection, processing, and use of open government data. To foster and engage with open data users is also needed,  as several strategies deployed by some Latin American cities show.

Coming back to our question: will open data policies contribute to solve development challenges?  The Latin American experience shows evidence that  it will….(More)”

Looking for Open Data from a different country? Try the European Data portal


Wendy Carrara in DAE blog: “The Open Data movement is reaching all countries in Europe. Data Portals give you access to re-usable government information. But have you ever tried to find Open Data from another country whose language you do not speak? Or have you tried to see whether data from one country exist also in a similar way in another? The European Data Portal that we just launched can help you….

The European Data Portal project main work streams is the development of a new pan-European open data infrastructure. Its goal is to be a gateway offering access to data published by administrations in countries across Europe, from the EU and beyond.
The portal is launched during the European Data Forum in Luxembourg.

Additionally we will support public administrations in publishing more data as open data and have targeted actions to stimulate re-use. By taking a look at the data released by other countries and made available on the European Data Portal, governments can also be inspired to publish new data sets they had not though about in the first place.

The re-use of Open Data will further boost the economy. The benefits of Open Data are diverse and range from improved performance of public administrations and economic growth in the private sector to wider social welfare. The economic studyconducted by the European Data Portal team estimates that between 2016 and 2020, the market size of Open Data is expected to increase by 36.9% to a value of 75.7 bn EUR in 2020.

For data to be re-used, it has to be accessible

Currently, the portal includes over 240.000 datasets from 34 European countries. Information about the data available is structured into thirteen different categories ranging from agriculture to transport, including science, justice, health and so on. This enables you to quickly browse through categories and feel inspired by the data made accessible….(More)”

OpenBeta. USAspending.gov


About: “Instead of building the future USAspending.gov and getting feedback from users after the launch, Treasury took the innovative approach of launching OpenBeta.USAspending.gov in November 2015 to gather your recommendations and suggestions on the features you want in the final iteration. Based on forum and email feedback, Treasury will add new features and functionalities on a rolling basis.

OpenBeta.USAspending.gov currently features several search options and a demo of a search functionality that provides access to the data quickly. In addition, search filters similar to what you might find on a commercial site allow you to narrow your search results. You can also create charts, graphs, and maps from your search results.

Vision

When the final USAspending.gov – the taxpayer site built for taxpayer needs – goes live in May 2017, you will have an open window into government spending. You will be able to track Federal spending from congressional appropriation down to purchase and grant details — what was bought, from whom, when, and for how much….(More)”

Open Data as Open Educational Resources: Case studies of emerging practice


Book edited by Javiera Atenas and Leo Havemann: “…is the outcome of a collective effort that has its origins in the 5th Open Knowledge Open Education Working Group call, in which the idea of using Open Data in schools was mentioned. It occurred to us that Open Data and open educational resources seemed to us almost to exist in separate open worlds.

We decided to seek out evidence in the use of open data as OER, initially by conducting a bibliographical search. As we could not find published evidence, we decided to ask educators if they were in fact, using open data in this way, and wrote a post for this blog (with Ernesto Priego) explaining our perspective, called The 21st Century’s Raw Material: Using Open Data as Open Educational Resources. We ended the post with a link to an exploratory survey, the results of which indicated a need for more awareness of the existence and potential value of Open Data amongst educators…..

the case studies themselves. They have been provided by scholars and practitioners from different disciplines and countries, and they reflect different approaches to the use of open data. The first case study presents an approach to educating both teachers and students in the use of open data for civil monitoring via Scuola di OpenCoesione in Italy, and has been written by Chiara Ciociola and Luigi Reggi. The second case, by Tim Coughlan from the Open University, UK, showcases practical applications in the use of local and contextualised open data for the development of apps. The third case, written by Katie Shamash, Juan Pablo Alperin & Alessandra Bordini from Simon Fraser University, Canada, demonstrates how publishing students can engage, through data analysis, in very current debates around scholarly communications and be encouraged to publish their own findings. The fourth case by Alan Dix from Talis and University of Birmingham, UK, and Geoffrey Ellis from University of Konstanz, Germany, is unique because the data discussed in this case is self-produced, indeed ‘quantified self’ data, which was used with students as material for class discussion and, separately, as source data for another student’s dissertation project. Finally, the fifth case, presented by Virginia Power from University of the West of England, UK, examines strategies to develop data and statistical literacies in future librarians and knowledge managers, aiming to support and extend their theoretical understanding of the concept of the ‘knowledge society’ through the use of Open Data….(More)

The book can be downloaded here Open Data as Open Educational Resources