Value public information so we can trust it, rely on it and use it

Curated on Posted on by Stefaan Verhulst

Speech by David Fricker, the director general of the National Archives of Australia: “No-one can deny that we are in an age of information abundance. More and more we rely on information from a variety of sources and channels. Digital information is seductive, because it’s immediate, available and easy to move around. But digital information can be used for nefarious purposes. Social issues can be at odds with processes of government in this digital age. There is a tension between what is the information, where it comes from and how it’s going to be used.

How do we know if the information has reached us without being changed, whether that’s intentional or not?

How do we know that government digital information will be the authoritative source when the pace of information exchange is so rapid? In short, how do we know what to trust?

“It’s everyone’s responsibly to contribute to a transparent government, and that means changes in our thinking and in our actions.”

Consider the challenges and risks that come with the digital age: what does it really mean to have transparency and integrity of government in today’s digital environment?…

What does the digital age mean for government? Government should be delivering services online, which means thinking about location, timeliness and information accessibility. It’s about getting public-sector data out there, into the public, making it available to fuel the digital economy. And it’s about a process of change across government to make sure that we’re breaking down all of those silos, and the duplication and fragmentation which exist across government agencies in the application of information, communications, and technology…..

The digital age is about the digital economy, it’s about rethinking the economy of the nation through the lens of information that enables it. It’s understanding that a nation will be enriched, in terms of culture life, prosperity and rights, if we embrace the digital economy. And that’s a weighty responsibility. But the responsibility is not mine alone. It’s a responsibility of everyone in the government who makes records in their daily work. It’s everyone’s responsibly to contribute to a transparent government. And that means changes in our thinking and in our actions….

What has changed about democracy in the digital age? Once upon a time if you wanted to express your anger about something, you might write a letter to the editor of the paper, to the government department, or to your local member and then expect some sort of an argument or discussion as a response. Now, you can bypass all of that. You might post an inflammatory tweet or blog, your comment gathers momentum, you pick the right hashtag, and off we go. It’s all happening: you’re trending on Twitter…..

If I turn to transparency now, at the top of the list is the basic recognition that government information is public information. The information of the government belongs to the people who elected that government. It’s a fundamental of democratic values. It also means that there’s got to be more public participation in the development of public policy, which means if you’re going to have evidence-based, informed, policy development; government information has to be available, anywhere, anytime….

Good information governance is at the heart of managing digital information to provide access to that information into the future — ready access to government information is vital for transparency. Only when information is digital and managed well can government share it effectively with the Australian community, to the benefit of society and the economy.

There are many examples where poor information management, or poor information governance, has led to failures — both in the private and public sectors. Professor Peter Shergold’s recent report, Learning from Failure, why large government policy initiatives have gone so badly wrong in the past and how the chances of success in the future can be improved, highlights examples such as the Home Insulation Program, the NBN and Building the Education Revolution….(Full Speech)

Data Collaboratives: Matching Demand with Supply of (Corporate) Data to solve Public Problems

Curated on Posted on by Stefaan Verhulst

Blog by Stefaan G. Verhulst, IrynaSusha and Alexander Kostura: “Data Collaboratives refer to a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors (private companies, research institutions, and government agencies) share data to help solve public problems. Several of society’s greatest challenges — from climate change to poverty — require greater access to big (but not always open) data sets, more cross-sector collaboration, and increased capacity for data analysis. Participants at the workshop and breakout session explored the various ways in which data collaborative can help meet these needs.

Matching supply and demand of data emerged as one of the most important and overarching issues facing the big and open data communities. Participants agreed that more experimentation is needed so that new, innovative and more successful models of data sharing can be identified.

How to discover and enable such models? When asked how the international community might foster greater experimentation, participants indicated the need to develop the following:

· A responsible data framework that serves to build trust in sharing data would be based upon existing frameworks but also accommodates emerging technologies and practices. It would also need to be sensitive to public opinion and perception.

· Increased insight into different business models that may facilitate the sharing of data. As experimentation continues, the data community should map emerging practices and models of sharing so that successful cases can be replicated.

· Capacity to tap into the potential value of data. On the demand side,capacity refers to the ability to pose good questions, understand current data limitations, and seek new data sets responsibly. On the supply side, this means seeking shared value in collaboration, thinking creatively about public use of private data, and establishing norms of responsibility around security, privacy, and anonymity.

· Transparent stock of available data supply, including an inventory of what corporate data exist that can match multiple demands and that is shared through established networks and new collaborative institutional structures.

· Mapping emerging practices and models of sharing. Corporate data offers value not only for humanitarian action (which was a particular focus at the conference) but also for a variety of other domains, including science,agriculture, health care, urban development, environment, media and arts,and others. Gaining insight in the practices that emerge across sectors could broaden the spectrum of what is feasible and how.

In general, it was felt that understanding the business models underlying data collaboratives is of utmost importance in order to achieve win-win outcomes for both private and public sector players. Moreover, issues of public perception and trust were raised as important concerns of government organizations participating in data collaboratives….(More)”

Designing a toolkit for policy makers

Curated on Posted on by Stefaan Verhulst

 at UK’s Open Policy Making Blog: “At the end of the last parliament, the Cabinet Office Open Policy Making team launched the Open Policy Making toolkit. This was about giving policy makers the actual tools that will enable them to develop policy that is well informed, creative, tested, and works. The starting point was addressing their needs and giving them what they had told us they needed to develop policy in an ever changing, fast paced and digital world. In a way, it was the culmination of the open policy journey we have been on with departments for the past 2 years. In the first couple of months we saw thousands of unique visits….

Our first version toolkit has been used by 20,000 policy makers. This gave us a huge audience to talk to to make sure that we continue to meet the needs of policy makers and keep the toolkit relevant and useful. Although people have really enjoyed using the toolkit, user testing quickly showed us a few problems…

We knew what we needed to do. Help people understand what Open Policy Making was, how it impacted their policy making, and then to make it as simple as possible for them to know exactly what to do next.

So we came up with some quick ideas on pen and paper and tested them with people. We quickly discovered what not to do. People didn’t want a philosophy— they wanted to know exactly what to do, practical answers, and when to do it. They wanted a sort of design manual for policy….

How do we make user-centered design and open policy making as understood as agile?

We decided to organise the tools around the journey of a policy maker. What might a policy maker need to understand their users? How could they co-design ideas? How could they test policy? We looked at what tools and techniques they could use at the beginning, middle and end of a project, and organised tools accordingly.

We also added sections to remove confusion and hesitation. Our opening section ‘Getting started with Open Policy Making’ provides people with a clear understanding of what open policy making might mean to them, but also some practical considerations. Sections for limited timeframes and budgets help people realise that open policy can be done in almost any situation.

And finally we’ve created a much cleaner and simpler design that lets people show as much or little of the information as they need….

So go and check out the new toolkit and make more open policy yourselves….(More)”

Open Data Is Changing the World in Four Ways…

Curated on Posted on by Stefaan Verhulst

 at The GovLab Blog: “New repository of case studies documents the impact of open data globally: odimpact.org.

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Despite global commitments to and increasing enthusiasm for open data, little is actually known about its use and impact. What kinds of social and economic transformation has open data brought about, and what is its future potential? How—and under what circumstances—has it been most effective? How have open data practitioners mitigated risks and maximized social good?

Even as proponents of open data extol its virtues, the field continues to suffer from a paucity of empiricalevidence. This limits our understanding of open data and its impact.

Over the last few months, The GovLab (@thegovlab), in collaboration with Omidyar Network(@OmidyarNetwork), has worked to address these shortcomings by developing 19 detailed open data case studies from around the world. The case studies have been selected for their sectoral and geographic representativeness. They are built in part from secondary sources (“desk research”), and also from more than60 first-hand interviews with important players and key stakeholders. In a related collaboration withOmidyar Network, Becky Hogge(@barefoot_techie), an independent researcher, has developed an additional six open data case studies, all focused on the United Kingdom.  Together, these case studies, seek to provide a more nuanced understanding of the various processes and factors underlying the demand, supply, release, use and impact of open data.

Today, after receiving and integrating comments from dozens of peer reviewers through a unique open process, we are delighted to share an initial batch of 10 case studies, as well three of Hogge’s UK-based stories. These are being made available at a new custom-built repository, Open Data’s Impact (http://odimpact.org), that will eventually house all the case studies, key findings across the studies, and additional resources related to the impact of open data. All this information will be stored in machine-readable HTML and PDF format, and will be searchable by area of impact, sector and region….(More)

Data Science ethics

Curated on Posted on by Stefaan Verhulst

Gov.uk blog: “If Tesco knows day-to-day how poorly the nation is, how can Government access  similar  insights so it can better plan health services? If Airbnb can give you a tailored service depending on your tastes, how can Government provide people with the right support to help them back into work in a way that is right for them? If companies are routinely using social media data to get feedback from their customers to improve their services, how can Government also use publicly available data to do the same?

Data science allows us to use new types of data and powerful tools to analyse this more quickly and more objectively than any human could. It can put us in the vanguard of policymaking – revealing new insights that leads to better and more tailored interventions. And  it can help reduce costs, freeing up resource to spend on more serious cases.

But some of these data uses and machine-learning techniques are new and still relatively untested in Government. Of course, we operate within legal frameworks such as the Data Protection Act and Intellectual Property law. These are flexible but don’t always talk explicitly about the new challenges data science throws up. For example, how are you to explain the decision making process of a deep learning black box algorithm? And if you were able to, how would you do so in plain English and not a row of 0s and 1s?

We want data scientists to feel confident to innovate with data, alongside  the policy makers and operational staff who make daily decisions on the data that the analysts provide –. That’s why we are creating an ethical framework which brings together the relevant parts of the law and ethical considerations into a simple document that helps Government officials decide what it can do and what it should do. We have a moral responsibility to maximise the use of data – which is never more apparent than after incidents of abuse or crime are left undetected – as well as to pay heed to the potential risks of these new tools. The guidelines are draft and not formal government policy, but we want to share them more widely in order to help iterate and improve them further….

So what’s in the framework? There is more detail in the fuller document, but it is based around six key principles:

  1. Start with a clear user need and public benefit: this will help you justify the level of data sensitivity and method you use
  2. Use the minimum level of data necessary to fulfill the public benefit: there are many techniques for doing so, such as de-identification, aggregation or querying against data
  3. Build robust data science models: the model is only as good as the data it contains and while machines are less biased than humans they can get it wrong. It’s critical to be clear about the confidence of the model and think through unintended consequences and biases contained within the data
  4. Be alert to public perceptions: put simply, what would a normal person on the street think about the project?
  5. Be as open and accountable as possible: Transparency is the antiseptic for unethical behavior. Aim to be as open as possible (with explanations in plain English), although in certain public protection cases the ability to be transparent will be constrained.
  6. Keep data safe and secure: this is not restricted to data science projects but we know that the public are most concerned about losing control of their data….(More)”

Controlling the crowd? Government and citizen interaction on emergency-response platforms

Curated on Posted on by Stefaan Verhulst

 at the Policy and Internet Blog: “My interest in the role of crowdsourcing tools and practices in emergency situations was triggered by my personal experience. In 2010 I was one of the co-founders of the Russian “Help Map” project, which facilitated volunteer-based response to wildfires in central Russia. When I was working on this project, I realized that a crowdsourcing platform can bring the participation of the citizen to a new level and transform sporadic initiatives by single citizens and groups into large-scale, relatively well coordinated operations. What was also important was that both the needs and the forms of participation required in order to address these needs be defined by the users themselves.

To some extent the citizen-based response filled the gap left by the lack of a sufficient response from the traditional institutions.[1] This suggests that the role of ICTs in disaster response should be examined within the political context of the power relationship between members of the public who use digital tools and the traditional institutions. My experience in 2010 was the first time I was able to see that, while we would expect that in a case of natural disaster both the authorities and the citizens would be mostly concerned about the emergency, the actual situation might be different.

Apparently the emergence of independent, citizen-based collective action in response to a disaster was considered as some type of threat by the institutional actors. First, it was a threat to the image of these institutions, which didn’t want citizens to be portrayed as the leading responding actors. Second, any type of citizen-based collective action, even if not purely political, may be an issue of concern in authoritarian countries in particular. Accordingly, one can argue that, while citizens are struggling against a disaster, in some cases the traditional institutions may make substantial efforts to restrain and contain the action of citizens. In this light, the role of information technologies can include not only enhancing citizen engagement and increasing the efficiency of the response, but also controlling the digital crowd of potential volunteers.

The purpose of this paper was to conceptualize the tension between the role of ICTs in the engagement of the crowd and its resources, and the role of ICTs in controlling the resources of the crowd. The research suggests a theoretical and methodological framework that allows us to explore this tension. The paper focuses on an analysis of specific platforms and suggests empirical data about the structure of the platforms, and interviews with developers and administrators of the platforms. This data is used in order to identify how tools of engagement are transformed into tools of control, and what major differences there are between platforms that seek to achieve these two goals. That said, obviously any platform can have properties of control and properties of engagement at the same time; however the proportion of these two types of elements can differ significantly.

One of the core issues for my research is how traditional actors respond to fast, bottom-up innovation by citizens.[2]. On the one hand, the authorities try to restrict the empowerment of citizens by the new tools. On the other hand, the institutional actors also seek to innovate and develop new tools that can restore the balance of power that has been challenged by citizen-based innovation. The tension between using digital tools for the engagement of the crowd and for control of the crowd can be considered as one of the aspects of this dynamic.

That doesn’t mean that all state-backed platforms are created solely for the purpose of control. One can argue, however, that the development of digital tools that offer a mechanism of command and control over the resources of the crowd is prevalent among the projects that are supported by the authorities. This can also be approached as a means of using information technologies in order to include the digital crowd within the “vertical of power”, which is a top-down strategy of governance. That is why this paper seeks to conceptualize this phenomenon as “vertical crowdsourcing”.

The question of whether using a digital tool as a mechanism of control is intentional is to some extent secondary. What is important is that the analysis of platform structures relying on activity theory identifies a number of properties that allow us to argue that these tools are primarily tools of control. The conceptual framework introduced in the paper is used in order to follow the transformation of tools for the engagement of the crowd into tools of control over the crowd. That said, some of the interviews with the developers and administrators of the platforms may suggest the intentional nature of the development of tools of control, while crowd engagement is secondary….Read the full article: Asmolov, G. (2015) Vertical Crowdsourcing in Russia: Balancing Governance of Crowds and State–Citizen Partnership in Emergency Situations.”

 

Data enriched research, data enhanced impact: the importance of UK data infrastructure.

Curated on Posted on by Stefaan Verhulst

Matthew Woollard at LSE Impact Blog: “…Data made available for reuse, such as those in the UK Data Service collection have huge potential. They can unlock new discoveries in research, provide evidence for policy decisions and help promote core data skills in the next generation of researchers. By being part of a single infrastructure, data owners and data creators can work together with the UK Data Service – rather than duplicating efforts – to engage with the people who can drive the impact of their research further to provide real benefit to society. As a service we are also identifying new ways to understand and promote our impact, and our Impact Fellow and Director of Impact and Communications, Victoria Moody, is focusing on raising the visibility of the UK Data Service holdings and developing and promoting the use and impact of the data and resources in policy-relevant research, especially to new audiences such as policymakers, government sectors, charities, the private sector and the media…..

We are improving how we demonstrate the impact of both the Service and the data which we hold, by focusing on generating more and more authentic user corroboration. Our emphasis is on drawing together evidence about the reach and significance of the impact of our data and resources, and of the Service as a whole through our infrastructure and expertise. Headline impact indicators through which we will better understand our impact cover a range of areas (outlined above) where the Service brings efficiency to data access and re-use, benefit to its users and a financial and social return on investment.

We are working to understand more about how Service data contributes to impact by tracking the use of Service data in a range of initiatives focused on developing impact from research and by developing our insight into usage of our data by our users. Data in the collection have featured in a range of impact case studies in the Research Excellence Framework 2014. We are also developing a focus on understanding the specific beneficial effect, rather than simply that data were used in an output, that is – as it appears in policy, debate or the evidential process (although important). Early thoughts in developing this process are where (ideally) cited data can be tracked through the specific beneficial outcome and on to an evidenced effect, corroborated by the end user.

data service 1

Our impact case studies demonstrate how the data have supported research which has led to policy change in a range of areas including; the development of mathematical models for Practice based Commissioning budgets for adult mental health in the UK and informing public policy on obesity; both using the Health Survey for England. Service data have also informed the development of impact around understanding public attitudes towards the police and other legal institutions using the Crime Survey for England and Wales and research to support the development of the national minimum wage using the Labour Force Survey. The cutting-edge new Demos Integration Hub maps the changing face of Britain’s diversity, revealing a mixed picture in the integration and upward mobility of ethnic minority communities and uses 2011 Census aggregate data (England and Wales) and Understanding Society….(More)”

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

Curated on Posted on by Stefaan Verhulst
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)”

An Introduction to System Mapping

Curated on Posted on by Stefaan Verhulst

Joelle Cook at FSG: “Much has been written recently about the importance of using a system lens, or focusing on system change, to make real progress against some of society’s toughest challenges. But what does that really mean? The following definition of system change resonated with us, fromNPC’s 2015 guide:

“Systems change is an intentional process designed to alter the status quo by shifting the function or structure of an identified system with purposeful interventions. It is a journey which can require a radical change in people’s attitudes as well as in the ways people work. Systems change aims to bring about lasting change by altering underlying structures and supporting mechanisms which make the system operate in a particular way. These can include policies, routines, relationships, resources, power structures and values.”

However, to change the system, you need to first understand the system, and mapping is a great way to do that. A “system,” as described by Julia Coffman in her 2007 framework for evaluating system change, is “a group of interacting, interrelated, and interdependent components that form a complex and unified whole.” A system’s overall purpose or goal is achieved through the actions and interactions of its components.

As you can imagine, there are a number of different ways you might approach mapping the system to represent system elements and connections. For example, you might create:

  • Actor maps, to show which individuals and/or organizations are key players in the space and how they are connected
  • Mind maps, that highlight various trends in the external environment that influence the issue at hand
  • Issue maps, which lay out the political, social, or economic issues affecting a given geography or constituency (often used by advocacy groups)
  • Causal-loop diagrams, that  focus on explicating the feedback loops (positive and negative) that lead to system behavior or functioning

For more information, see a blog from Innovation Network on systems mapping, Jeff Wasbes’blog on causal loop diagrams, and an example from the Hewlett Foundation’s Madison Initiative….(More)”

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

Curated on Posted on by Stefaan Verhulst

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