A new journal wants to publish your research ideas

Curated on Posted on by Stefaan Verhulst

Tania Rabesandratana at ScienceInsider: “Do you have a great idea for a study that you want to share with the world? A new journal will gladly publish it. Research Ideas and Outcomes(RIO) will also publish papers on your methods, workflows, data, reports, and software—in short, “all outputs of the research cycle.” RIO, an open-access (OA) journal, was officially launched today and will start accepting submissions in November.

“We’re interested in making the full process of science open,” says RIO founding editor Ross Mounce, a researcher at the Natural History Museum in London. Many good research proposals fall by the wayside because funding agencies have limited budgets, Mounce says; RIO is a way to give them another chance. Mounce hopes that funders will use the journal to spot interesting new projects.

Publishing proposals can also help create links between research teams, Mounce says. “Let’s say you’re going to Madagascar for 6 months to sample turtle DNA,” he suggests. ”If you can let other researchers know ahead of time, you can agree to do things together.”

RIO‘s idea to publish research proposals is “exactly what we need if we really want to have open science,” says Iryna Kuchma, the OA program manager at the nonprofit organization Electronic Information for Libraries in Rome. Pensoft, the publishing company behind RIO, is a “strong open-access publishing venue” that has proven its worth with more than a dozen journals in the biodiversity field, Kuchma says.

The big question is, of course: Will researchers want to share promising ideas, at the risk that rivals run with them?…(More)”

A data revolution is underway. Will NGOs miss the boat?

Curated on Posted on by Stefaan Verhulst

Opinion by Sophia Ayele at Oxfam: “The data revolution has arrived. ….The UN has even launched a Data Revolution Group (to ensure that the revolution penetrates into international development). The Group’s 2014 report suggests that harnessing the power of newly available data could ultimately lead to, “more empowered people, better policies, better decisions and greater participation and accountability, leading to better outcomes for people and the planet.”

But where do NGOs fit in?

NGOs are generating dozens (if not hundreds) of datasets every year. Over the last two decades, NGO have been collecting increasing amounts of research and evaluation data, largely driven by donor demands for more rigorous evaluations of programs. The quality and efficiency of data collection has also been enhanced by mobile data collection. However, a quick scan of UK development NGOs reveals that few, if any, are sharing the data that they collect. This means that NGOs are generating dozens (if not hundreds) of datasets every year that aren’t being fully exploited and analysed. Working on tight budgets, with limited capacity, it’s not surprising that NGOs often shy away from sharing data without a clear mandate.

But change is in the air. Several donors have begun requiring NGOs to publicise data and others appear to be moving in that direction. Last year, USAID launched its Open Data Policy which requires that grantees “submit any dataset created or collected with USAID funding…” Not only does USAID stipulate this requirement, it also hosts this data on its Development Data Library (DDL) and provides guidance on anonymisation to depositors. Similarly, Gates Foundation’s 2015 Open Access Policy stipulates that, “Data underlying published research results will be accessible and open immediately.” However, they are allowing a two-year transition period…..Here at Oxfam, we have been exploring ways to begin sharing research and evaluation data. We aren’t being required to do this – yet – but, we realise that the data that we collect is a public good with the potential to improve lives through more effective development programmes and to raise the voices of those with whom we work. Moreover, organizations like Oxfam can play a crucial role in highlighting issues facing women and other marginalized communities that aren’t always captured in national statistics. Sharing data is also good practice and would increase our transparency and accountability as an organization.

… the data that we collect is a public good with the potential to improve lives. However, Oxfam also bears a huge responsibility to protect the rights of the communities that we work with. This involves ensuring informed consent when gathering data, so that communities are fully aware that their data may be shared, and de-identifying data to a level where individuals and households cannot be easily identified.

As Oxfam has outlined in our, recently adopted, Responsible Data Policy,”Using data responsibly is not just an issue of technical security and encryption but also of safeguarding the rights of people to be counted and heard, ensuring their dignity, respect and privacy, enabling them to make an informed decision and protecting their right to not be put at risk… (More)”

The Art of Managing Complex Collaborations

Curated on Posted on by Stefaan Verhulst

Eric Knight, Joel Cutcher-Gershenfeld, and Barbara Mittleman at MIT Sloan Management Review: “It’s not easy for stakeholders with widely varying interests to collaborate effectively in a consortium. The experience of the Biomarkers Consortium offers five lessons on how to successfully navigate the challenges that arise….

Society’s biggest challenges are also its most complex. From shared economic growth to personalized medicine to global climate change, few of our most pressing problems are likely to have simple solutions. Perhaps the only way to make progress on these and other challenges is by bringing together the important stakeholders on a given issue to pursue common interests and resolve points of conflict.

However, it is not easy to assemble such groups or to keep them together. Many initiatives have stumbled and disbanded. The Biomarkers Consortium might have been one of them, but this consortium beat the odds, in large part due to the founding parties’ determination to make it work. Nine years after it was founded, this public-private partnership, which is managed by the Foundation for the National Institutes of Health and based in Bethesda, Maryland, is still working to advance the availability of biomarkers (biological indicators for disease states) as tools for drug development, including applications at the frontiers of personalized medicine.

The Biomarkers Consortium’s mandate — to bring together, in the group’s words, “the expertise and resources of various partners to rapidly identify, develop, and qualify potential high-impact biomarkers particularly to enable improvements in drug development, clinical care, and regulatory decision-making” — may look simple. However, the reality has been quite complex. The negotiations that led to the consortium’s formation in 2006 were complicated, and the subsequent balancing of common and competing interests remains challenging….

Many in the biomedical sector had seen the need to tackle drug discovery costs for a long time, with multiple companies concurrently spending millions, sometimes billions, of dollars only to hit common dead ends in the drug development process. In 2004 and 2005, then National Institutes of Health director Elias Zerhouni convened key people from the U.S. Food and Drug Administration, the NIH, and the Pharmaceutical Research and Manufacturers of America to create a multistakeholder forum.

Every member knew from the outset that their fellow stakeholders represented many divergent and sometimes opposing interests: large pharmaceutical companies, smaller entrepreneurial biotechnology companies, FDA regulators, NIH science and policy experts, university researchers and nonprofit patient advocacy organizations….(More)”

The Silo Effect – The Peril of Expertise and the Promise of Breaking Down Barriers

Curated on Posted on by Stefaan Verhulst

Book by Gillian Tett: “From award-winning columnist and journalist Gillian Tett comes a brilliant examination of how our tendency to create functional departments—silos—hinders our work…and how some people and organizations can break those silos down to unleash innovation.

One of the characteristics of industrial age enterprises is that they are organized around functional departments. This organizational structure results in both limited information and restricted thinking. The Silo Effect asks these basic questions: why do humans working in modern institutions collectively act in ways that sometimes seem stupid? Why do normally clever people fail to see risks and opportunities that later seem blindingly obvious? Why, as psychologist Daniel Kahneman put it, are we sometimes so “blind to our own blindness”?

Gillian Tett, journalist and senior editor for the Financial Times, answers these questions by plumbing her background as an anthropologist and her experience reporting on the financial crisis in 2008. In The Silo Effect, she shares eight different tales of the silo syndrome, spanning Bloomberg’s City Hall in New York, the Bank of England in London, Cleveland Clinic hospital in Ohio, UBS bank in Switzerland, Facebook in San Francisco, Sony in Tokyo, the BlueMountain hedge fund, and the Chicago police. Some of these narratives illustrate how foolishly people can behave when they are mastered by silos. Others, however, show how institutions and individuals can master their silos instead. These are stories of failure and success.

From ideas about how to organize office spaces and lead teams of people with disparate expertise, Tett lays bare the silo effect and explains how people organize themselves, interact with each other, and imagine the world can take hold of an organization and lead from institutional blindness to 20/20 vision. – (More)”

5 Tips for Designing a Data for Good Initiative

Curated on Posted on by Stefaan Verhulst

Mitul Desai at Mastercard Center for Inclusive Growth: “The transformative impact of data on development projects, captured in the hashtag #DATARevolution, offers the social and private sectors alike a rallying point to enlist data in the service of high-impact development initiatives.

To help organizations design initiatives that are authentic to their identity and capabilities, we’re sharing what’s necessary to navigate the deeply interconnected organizational, technical and ethical aspects of creating a Data for Good initiative.

1) Define the need

At the center of a Data for Good initiative are the individual beneficiaries you are seeking to serve. This is foundation on which the “Good” of Data for Good rests.

Understanding the data and expertise needed to better serve such individuals will bring into focus the areas where your organization can contribute and the partners you might engage. As we’ve covered in past posts, collaboration between agents who bring different layers of expertise to Data for Good projects is a powerful formula for change….

2) Understand what data can make a difference

Think about what kind of data can tell a story that’s relevant to your mission. Claudia Perlich of Dstillery says: “The question is first and foremost, what decision do I have to make and which data can tell me something about that decision.” This great introduction to what different kinds of data are relevant in different settings can give you concrete examples.

3) Get the right tools for the job

By one estimate, some 90% of business-relevant data are unstructured or semi-structured (think texts, tweets, images, audio) as opposed to structured data like numbers that easily fit into the lines of a spreadsheet. Perlich notes that while it’s more challenging to mine this unstructured data, they can yield especially powerful insights with the right tools—which thankfully aren’t that hard to identify…..

4) Build a case that moves your organization

“While our programs are designed to serve organizations no matter what their capacity, we do find that an organization’s clarity around mission and commitment to using data to drive decision-making are two factors that can make or break a project,” says Jake Porway, founder and executive director of DataKind, a New York-based data science nonprofit that helps organizations develop Data for Good initiatives…..

5) Make technology serve people-centric ethics

The two most critical ethical factors to consider are informed consent and privacy—both require engaging the community you wish to serve as individual actors….

“Employ data-privacy walls, mask the data from the point of collection and encrypt the data you store. Ensure that appropriate technical and organizational safeguards are in place to verify that the data can’t be used to identify individuals or target demographics in a way that could harm them,” recommends Quid’s Pedraza. To understand the technology of data encryption and masking, check out this post. (More)”

The Last Mile: Creating Social and Economic Value from Behavioral Insights

Curated on Posted on by Stefaan Verhulst

New book by Dilip Soman: “Most organizations spend much of their effort on the start of the value creation process: namely, creating a strategy, developing new products or services, and analyzing the market. They pay a lot less attention to the end: the crucial “last mile” where consumers come to their website, store, or sales representatives and make a choice.

In The Last Mile, Dilip Soman shows how to use insights from behavioral science in order to close that gap. Beginning with an introduction to the last mile problem and the concept of choice architecture, the book takes a deep dive into the psychology of choice, money, and time. It explains how to construct behavioral experiments and understand the data on preferences that they provide. Finally, it provides a range of practical tools with which to overcome common last mile difficulties.

The Last Mile helps lay readers not only to understand behavioral science, but to apply its lessons to their own organizations’ last mile problems, whether they work in business, government, or the nonprofit sector. Appealing to anyone who was fascinated by Dan Ariely’s Predictably Irrational, Richard Thaler and Cass Sunstein’s Nudge, or Daniel Kahneman’s Thinking, Fast and Slow but was not sure how those insights could be practically used, The Last Mile is full of solid, practical advice on how to put the lessons of behavioral science to work….(More)”

One way traffic: The open data initiative project and the need for an effective demand side initiative in Ghana

Curated on Posted on by Stefaan Verhulst

Paper by Frank L. K. Ohemeng and Kwaku Ofosu-Adarkwa in the Government Information Quarterly: “In recent years the necessity for governments to develop new public values of openness and transparency, and thereby increase their citizenries’ sense of inclusiveness, and their trust in and confidence about their governments, has risen to the point of urgency. The decline of trust in governments, especially in developing countries, has been unprecedented and continuous. A new paradigm that signifies a shift to citizen-driven initiatives over and above state- and market-centric ones calls for innovative thinking that requires openness in government. The need for this new synergy notwithstanding, Open Government cannot be considered truly open unless it also enhances citizen participation and engagement. The Ghana Open Data Initiative (GODI) project strives to create an open data community that will enable government (supply side) and civil society in general (demand side) to exchange data and information. We argue that the GODI is too narrowly focused on the supply side of the project, and suggest that it should generate an even platform to improve interaction between government and citizens to ensure a balance in knowledge sharing with and among all constituencies….(More)”

Beyond the Common Rule: Ethical Structures for Data Research in Non-Academic Settings

Curated on Posted on by Stefaan Verhulst

Future of Privacy Forum: “In the wake of last year’s news about the Facebook “emotional contagion” study and subsequent public debate about the role of A/B Testing and ethical concerns around the use of Big Data, FPF Senior Fellow Omer Tene participated in a December symposum on corporate consumer research hosted by Silicon Flatirons. This past month, the Colorado Technology Law Journal published a series of papers that emerged out of the symposium, including “Beyond the Common Rule: Ethical Structures for Data Research in Non-Academic Settings.”

“Beyond the Common Rule,” by Jules Polonetsky, Omer Tene, and Joseph Jerome, continues the Future of Privacy Forum’s effort to build on the notion of consumer subject review boards first advocated by Ryan Calo at FPF’s 2013 Big Data symposium. It explores how researchers, increasingly in corporate settings, are analyzing data and testing theories using often sensitive personal information. Many of these new uses of PII are simply natural extensions of current practices, and are either within the expectations of individuals or the bounds of the FIPPs. Yet many of these projects could involve surprising applications or uses of data, exceeding user expectations, and offering notice and obtaining consent could may not be feasible.

This article expands on ideas and suggestions put forward around the recent discussion draft of the White House Consumer Privacy Bill of Rights, which espouses “Privacy Review Boards” as a safety value for noncontextual data uses. It explores how existing institutional review boards within the academy and for human testing research could offer lessons for guiding principles, providing accountability and enhancing consumer trust, and offers suggestions for how companies — and researchers — can pursue both knowledge and data innovation responsibly and ethically….(More)”

Accur8Africa

Curated on Posted on by Stefaan Verhulst

“Accur8Africa aims to be the leading platform supporting the accuracy of data in the continent. If we intend to meet the Sustainable Development Goals (SDGs) in the next fifteen years, accurate data remains a non-negotiable necessity. Accur8Africa recognizes that nothing less than a data revolution is required. To achieve this we are building the statistical capacity of institutions across Africa and encouraging the use of data-driven decisions alongside better development metrics for key sectors such as gender equality, climate change, equity and social inclusion and health.

Africa has data in abundance but it exists in a fragmented and disorganized manner. As a result, the achievements of the Millennium Development Goals will be largely unquantifiable. As we transition from the MDG’s to the Sustainable Development Goals, and national governments meet to discuss the 17 goals that could transform the world by 2030, we believe that the African Continent deserves better and more accurate data…..Africa has a great role to play in the next fifteen years. The United Nations development agenda has generated momentum for a worldwide “data revolution,” shining a much-needed light on the need for better development data in Africa and elsewhere. Governments, international institutions, and donors need accurate data on basic development metrics such as inflation, vaccination coverage, and school enrolment in order to accurately plan, budget, and evaluate their activities. Governments, citizens, and civil society can then use this data as a “currency” for accountability. When statistical systems function properly, good-quality data are exchanged freely amongst all stakeholders ensuring that funding and development efforts are producing the desired results….(More)”

Data Ethics in the Age of the Quantified Self

Curated on Posted on by Stefaan Verhulst

Video of Aspen Ideas Festival Session on Data Ethics: “Leading thinkers from business, government, civil society, and academia explore and debate ethics in the age of the quantified society. What role do ethics play in guiding existing efforts to develop and deploy data and information technologies? Does data ethics need to develop as a field to help guide policy, research, and practice — just as bioethics did in order to guide medicine and biology? Why or why not? Speakers:Kate Crawford, Jonathan Zittrain, Ashkan Soltani,Alexis Madrigal….

(More)”