The Cost(s) of Open Geospatial Data


Johnson PA, Sieber RE, Scassa T, Stephens M, Robinson PJ. in Transactions in GIS: “The provision of open data by governments at all levels has rapidly increased over recent years. Given that one of the dominant motivations for the provision of open data is to generate ‘value’, both economic and civic, there are valid concerns over the costs incurred in this pursuit. Typically, costs of open data are framed as costs that are internal to the data providing government. Building on the strong history of GIScience research on data provision via spatial data infrastructures, this paper considers both the direct and indirect costs of open data provision, framing four main areas of indirect costs; citizen participation challenges, uneven provision across geography and user types, subsidy of private sector activities, and the creation of inroads for corporate influence on government. These areas of indirect cost lead to the development of critical questions, including constituency, purpose, enablement, protection, and priorities. These questions are proposed as a guide to governments that provide open data in addressing the indirect costs of open data….(More)”.

Innovation@DFID: Crowdsourcing New Ideas at the UK’s Department for International Development


Paper by Anke Schwittay and Paul Braund: “Over the last decade, traditional development institutions have joined market-based actors in embracing inclusive innovation to ensure the sector’s relevance and impacts. In 2014, the UK’s Department for International Development’s (DFID) Innovation Hub launched Amplify as its own flagship initiative. The programme, which is managed by IDEO, a Silicon Valley-based design consultancy, aims to crowdsource new ideas to various development challenges from a broad and diverse group of actors, including poor people themselves. By examining the direction, diversity and distribution of Amplify’s work, we argue that while development innovation can generate more inclusive practices, its transformative potential is constrained by broader developmental logics and policy regimes….(More)”

The accuracy of farmer-generated data in an agricultural citizen science methodology


Jonathan Steinke, Jacob van Etten and Pablo Mejía Zelan in Agronomy for Sustainable Development: “Over the last decades, participatory approaches involving on-farm experimentation have become more prevalent in agricultural research. Nevertheless, these approaches remain difficult to scale because they usually require close attention from well-trained professionals. Novel large-N participatory trials, building on recent advances in citizen science and crowdsourcing methodologies, involve large numbers of participants and little researcher supervision. Reduced supervision may affect data quality, but the “Wisdom of Crowds” principle implies that many independent observations from a diverse group of people often lead to highly accurate results when taken together. In this study, we test whether farmer-generated data in agricultural citizen science are good enough to generate valid statements about the research topic. We experimentally assess the accuracy of farmer observations in trials of crowdsourced crop variety selection that use triadic comparisons of technologies (tricot). At five sites in Honduras, 35 farmers (women and men) participated in tricot experiments. They ranked three varieties of common bean (Phaseolus vulgaris L.) for Plant vigorPlant architecturePest resistance, and Disease resistance. Furthermore, with a simulation approach using the empirical data, we did an order-of-magnitude estimation of the sample size of participants needed to produce relevant results. Reliability of farmers’ experimental observations was generally low (Kendall’s W 0.174 to 0.676). But aggregated observations contained information and had sufficient validity (Kendall’s tau coefficient 0.33 to 0.76) to identify the correct ranking orders of varieties by fitting Mallows-Bradley-Terry models to the data. Our sample size simulation shows that low reliability can be compensated by engaging higher numbers of observers to generate statistically meaningful results, demonstrating the usefulness of the Wisdom of Crowds principle in agricultural research. In this first study on data quality from a farmer citizen science methodology, we show that realistic numbers of less than 200 participants can produce meaningful results for agricultural research by tricot-style trials….(More)”.

Crowdsourcing Expertise to Increase Congressional Capacity


Austin Seaborn at Beeck Center: “Members of Congress have close connections with their districts, and information arising from local organizations, such as professional groups, academia, industry as well as constituents with relevant expertise (like retirees, veterans or students) is highly valuable to them.  Today, congressional staff capacity is at a historic low, while at the same time, constituents in districts are often well equipped to address the underlying policy questions that Congress seeks to solve….

In meetings we have had with House and Senate staffers, they repeatedly express both the difficulty managing their substantial area-specific work loads and their interest in finding ways to substantively engage constituents to find good nuggets of information to help them in their roles as policymakers. At the same time, constituents are demanding more transparency and dialogue from their elected representatives. In many cases, our project brings these two together. It allows Members to tap the expertise in their districts while at the same time creating an avenue for constituents to contribute their knowledge and area expertise to the legislative process. It’s a win for constituents and a win for Member of Congress and their staffs.

It is important to note that the United States lags behind other democracies in experimenting with more inclusive methods during the policymaking process. In the United Kingdom, for example, the UK Parliament has experimented with a variety of new digital tools to engage with constituents. These methods range from Twitter hashtags, which are now quite common given the rise in social media use by governments and elected officials, to a variety of web forums on a variety of platforms. Since June of 2015, they have also been doing digital debates, where questions from the general public are crowdsourced and later integrated into a parliamentary debate by the Member of Parliament leading the debate. Estonia, South Africa, Taiwan, France also…notable examples.

One promising new development we hope to explore more thoroughly is the U.S. Library of Congress’s recently announced legislative data App Challenge. This competition is distinct from the many hackathons that have been held on behalf of Congress in the past, in that this challenge seeks new methods not only to innovate, but also to integrate and legislate. In his announcement, the Library’s Chief Information Officer, Bernard A. Barton, Jr., stated, “An informed citizenry is better able to participate in our democracy, and this is a very real opportunity to contribute to a better understanding of the work being done in Washington.  It may even provide insights for the people doing the work around the clock, both on the Hill, and in state and district offices.  Your innovation and integration may ultimately benefit the way our elected officials legislate for our future.” We believe these sorts of new methods will play a crucial role in the future of engaging citizens in their democracies….(More)”.

Smart Technologies for Smart Governments: Transparency, Efficiency and Organizational Issues


Book edited by Manuel Pedro Rodríguez Bolívar: “…examines the introduction of smart technologies into public administrations and the organizational issues caused by these implementations, and the potential of information and communication technologies (ICTs) to rationalize and improve government, transform governance and organizational issues, and address economic, social, and environmental challenges. Cities are increasingly using new technologies in the delivery of public sector services and in the improvement of government transparency, business-led urban development, and urban sustainability. The book will examine specific smart projects that cities are embracing to improve transparency, efficiency, sustainability, mobility, and whether all cities are prepared to implement smart technologies and the incentives for promoting implementation. This focus on the smart technologies applied to public sector entities will be of interest to academics, researchers, policy-makers, public managers, international organizations and technical experts involved in and responsible for the governance, development and design of Smart Cities….(More)”.

How open data can help the Global South, from disaster relief to voter turnout


Stefaan Verhulst and Andrew Young in The Conversation Global: “The modern era is marked by growing faith in the power of data. “Big data”, “open data”, and “evidence-based decision-making” have become buzzwords, touted as solutions to the world’s most complex and persistent problems, from corruption and famine to the refugee crisis.

While perhaps most pronounced in higher income countries, this trend is now emerging globally. In Africa, Latin America, Asia and beyond, hopes are high that access to data can help developing economies by increasing transparency, fostering sustainable development, building climate resiliency and the like.

This is an exciting prospect, but can opening up data actually make a difference in people’s lives?

Getting data-driven about data

The GovLab at New York University spent the last year trying to answer that question….

Our conclusion: the enthusiasm is justified – as long as it’s tempered with a good measure of realism, too. Here are our six major takeaways:

1. We need a framework – Overall, there is still little evidence to substantiate the enthusiastic claims that open data can foment sustainable development and transform governance. That’s not surprising given the early stage of most open data initiatives.

It may be early for impact evaluation, but it’s not too soon to develop a model that will eventually allow us to assess the impact of opening up data over time.

To that end, the GovLab has created an evidence-based framework that aims to better capture the role of open data in developing countries. The Open Data Logic Framework below focuses on various points in the open data value cycle, from data supply to demand, use and impact.

Logic model of open data. The GovLab

2. Open data has real promise – Based on this framework and the underlying evidence that fed into it, we can guardedly conclude that open data does in fact spur development – but only under certain conditions and within the right supporting ecosystem.

One well-known success took place after Nepal’s 2015 earthquake when open data helped NGOs map important landmarks such as health facilities and road networks, among other uses.

And in Colombia, the International Centre for Tropical Agriculture launched Aclímate Colombia, a tool that gives smallholder farmers data-driven insight into planting strategies that makes them more resilient to climate change….

3. Open data can improve people’s lives Examining projects in a number of sectors critical to development, including health, humanitarian aid, agriculture, poverty alleviation, energy and education, we found four main ways that data can have an impact….

4. Data can be an asset in development While these impacts are apparent in both developed and developing countries, we believe that open data can have a particularly powerful role in developing economies.

Where data is scarce, as it often is in poorer countries, open data can lead to an inherently more equitable and democratic distribution of information and knowledge. This, in turn, may activate a wider range of expertise to address complex problems; it’s what we in the field call “open innovation”.

This quality can allow resource-starved developing economies to access and leverage the best minds around.

And because trust in government is quite low in many developing economies, the transparency bred of releasing data can have after-effects that go well beyond the immediate impact of the data itself…

5. The ingredients matter To better understand why some open data projects fail while others succeed, we created a “periodic table” of open data (below), which includes 27 enabling factors divided into five broad categories….

6. We can plan for impact Our report ends by identifying how development organisations can catalyse the release and use of open data to make a difference on the ground.

Recommendations include:

· Define the problem, understand the user, and be aware of local conditions;

· Focus on readiness, responsiveness and change management;

· Nurture an open data ecosystem through collaboration and partnerships;

· Have a risk mitigation strategy;

· Secure resources and focus on sustainability; and

· Build a strong evidence base and support more research.

Next steps

In short, while it may still be too early to fully capture open data’s as-of-yet muted impact on developing economies, there are certainly reasons for optimism.

Much like blockchaindrones and other much-hyped technical advances, it’s time to start substantiating the excitement over open data with real, hard evidence.

The next step is to get systematic, using the kind of analytical framework we present here to gain comparative and actionable insight into if, when and how open data works. Only by getting data-driven about open data can we help it live up to its potential….(More)

Why and How Open Data Matters for Developing Economies


The GovLab is pleased to announce the launch of a new report that assesses and explores ways open data can be used in developing economies, “Open Data in Developing Economies: Toward Building an Evidence Base on What Works and How.” The new report co-authored by Stefaan Verhulst and Andrew Young seeks to :

(1) provides an evidence-based framework governments, NGOs, donors, and others can use to assess the impacts resulting from the use of open data in developing economies;

(2) outlines four key impact areas gleaned from 12 case studies that feature real-world examples from 12 countries, ranging from Colombia to Nepal; and

(3) identifies 27 critical factors that help to determine the success (or failure) of open data uses in developing economies, organized into a newly-created Periodic Table of Open Data, along with recommendations for both practitioners and decision-makers, including donor agencies.

table

The “Open Data in Developing Economies” report is the result of a months-long collaboration between The GovLab and several partners, including the U.S. Agency for International Development, FHI 360, and the World Wide Web Foundation.

The full report and cases studies are available at ODimpact.org…”

 

Government initiative offers Ghanaians chance for greater participation


Springwise: “Openness and transparency are key ingredients in building an accountable and effective democratic government. An “open” government is transparent, accessible to anyone, anytime, anywhere; and is responsive to new ideas and demands. The key to this is providing access to accurate data to all citizens. However, in many countries, a low rate of citizen participation and involvement has led to poor accountability from government officials. In Ghana, a new project, TransGov, is developing innovative tools to foster participation in local governance of marginalised groups, and improve government accountability to those who need it most.

TransGov’s research found that many Ghanaians were not aware of the status of local development projects, and this has led to a general public apathy, where people felt they had no influence on getting the government to work for them. TransGov created a platform to enhance information disclosure, dissemination and to create ways for citizens to engage with the local leaders in their communities. The TransGov platform allows all citizens to track the progress of government projects in their area and to publish information about those projects. TransGov has four integrated platforms, including a website, mobile app, voice response technology (IVR) and SMS – to allow the participation of people from a wide range of socio-economic backgrounds.

The organization has recently partnered with the government-sponsored Ghana Open Data Initiative, to share resources, tools, and research and hold workshops and seminars. This is aimed to strengthen various government agencies in collecting and managing data for public use. The hope is that making this information more accessible will help create more business opportunities and drive innovation, as well as increasing democratic participation. We have seen this in educational radio broadcasts in Cairo subways and an app that allows citizen feedback on city development….(More)”.

How Africa’s Data Revolution Can Deliver Sustainable Development Outcomes


Donald Mogeni at Huffington Post: “…As a demonstration of this political will, several governments in Africa are blazing the trail in numerous ways. For instance, the Government of Senegal now considers investment in data as important as it would treat investment in physical infrastructure such as roads. In Ghana and Sierra Leone, more policy-makers and legislators are now using data to inform their work and make planning is continuously evidence-based.

Despite the progressive developments, several cautionary statements are worth noting. Firstly, data is not a silver-bullet to addressing present development challenges and/or problems. To be transformative, use of data and evidence must include political agency and citizen mobilization. Thus, while data may highlight important development cleavages, it may not guarantee change if not used appropriately within the various political contexts. ‘Everyone Counts’, a new global initiative by CARE, KWANTU and World Vision (that was also showcased in the meeting) seeks to contribute to this agenda.

Secondly, there is need for data ‘experts’ to move beyond the chronic obsession with big numbers to ensure greater inclusion of marginalised and vulnerable segments of the population. Achieving this will require a ‘business unusual’ approach that devises better data collection methodologies and technologies that must collect more and better than ever before. This ‘new’ data should then be used together with administrative and open data to ensure that ‘no one is left behind’.

Thirdly, the utility of citizen-generated data is still contentious – especially within state institutions. Increasing the value of this data must therefore involve standardization of data collection tools and methodologies across the board (to the extent possible), making consideration for ethical approvals, subjecting this data to quality audits and triangulation, as well as adhering to quality assurance standards.

Fourthly, the emergence of various data communities within African countries has made the roles of National Statistical Offices in the data ecosystem even more crucial. However, significant capacity and technical disparities exist between the various National Statistical Offices (NSOs) in Africa. To realise the potential of data and statistics in achieving sustainable development outcomes, financial and human capacities of these institutions must to be enhanced….(More)”.

Open data on universities – New fuel for transformation


François van Schalkwyk at University World News: “Accessible, usable and relevant open data on South African universities makes it possible for a wide range of stakeholders to monitor, advise and challenge the transformation of South Africa’s universities from an informed perspective.

Some describe data as the new oil while others suggest it is a new form of capital or compare it to electricity. Either way, there appears to be a groundswell of interest in the potential of data to fuel development.

Whether the proliferation of data is skewing development in favour of globally networked elites or disrupting existing asymmetries of information and power, is the subject of ongoing debate. Certainly, there are those who will claim that open data, from a development perspective, could catalyse disruption and redistribution.

Open data is data that is free to use without restriction. Governments and their agencies, universities and their researchers, non-governmental organisations and their donors, and even corporations, are all potential sources of open data.

Open government data, as a public rather than a private resource, embedded in principles of universal access, participation and transparency, is touted as being able to restore the deteriorating levels of trust between citizens and their governments.

Open data promises to do so by making the decisions and processes of the state more transparent and inclusive, empowering citizens to participate and to hold public institutions to account for the distribution of public services and resources.

Benefits of open data

Open data has other benefits over its more cloistered cousins (data in private networks, big data, etc). By democratising access, open data makes possible the use of data on, for example, health services, crime, the environment, procurement and education by a range of different users, each bringing their own perspective to bear on the data. This can expose bias in the data or may improve the quality of the data by surfacing data errors. Both are important when data is used to shape government policies.

By removing barriers to reusing data such as copyright or licence-fees, tech-savvy entrepreneurs can develop applications to assist the public to make more informed decisions by making available easy-to-understand information on medicine prices, crime hot-spots, air quality, beneficial ownership, school performance, etc. And access to open research data can improve quality and efficiency in science.

Scientists can check and confirm the data on which important discoveries are based if the data is open, and, in some cases, researchers can reuse open data from other studies, saving them the cost and effort of collecting the data themselves.

‘Open washing’

But access alone is not enough for open data to realise its potential. Open data must also be used. And data is used if it holds some value for the user. Governments have been known to publish server rooms full of data that no one is interested in to support claims of transparency and supporting the knowledge economy. That practice is called ‘open washing’. …(More)”