Data Matters

Data Matters

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2019-01-28

Total Pages: 103

ISBN-13: 030948247X

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In an increasingly interconnected world, perhaps it should come as no surprise that international collaboration in science and technology research is growing at a remarkable rate. As science and technology capabilities grow around the world, U.S.-based organizations are finding that international collaborations and partnerships provide unique opportunities to enhance research and training. International research agreements can serve many purposes, but data are always involved in these collaborations. The kinds of data in play within international research agreements varies widely and may range from financial and consumer data, to Earth and space data, to population behavior and health data, to specific project-generated dataâ€"this is just a narrow set of examples of research data but illustrates the breadth of possibilities. The uses of these data are various and require accounting for the effects of data access, use, and sharing on many different parties. Cultural, legal, policy, and technical concerns are also important determinants of what can be done in the realms of maintaining privacy, confidentiality, and security, and ethics is a lens through which the issues of data, data sharing, and research agreements can be viewed as well. A workshop held on March 14-16, 2018, in Washington, DC explored the changing opportunities and risks of data management and use across disciplinary domains. The third workshop in a series, participants gathered to examine advisory principles for consideration when developing international research agreements, in the pursuit of highlighting promising practices for sustaining and enabling international research collaborations at the highest ethical level possible. The intent of the workshop was to explore, through an ethical lens, the changing opportunities and risks associated with data management and use across disciplinary domainsâ€"all within the context of international research agreements. This publication summarizes the presentations and discussions from the workshop.


Dark Data

Dark Data

Author: David J. Hand

Publisher: Princeton University Press

Published: 2022-02-15

Total Pages: 344

ISBN-13: 0691234469

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"Data describe and represent the world. However, no matter how big they may be, data sets don't - indeed cannot - capture everything. Data are measurements - and, as such, they represent only what has been measured. They don't necessarily capture all the information that is relevant to the questions we may want to ask. If we do not take into account what may be missing/unknown in the data we have, we may find ourselves unwittingly asking questions that our data cannot actually address, come to mistaken conclusions, and make disastrous decisions. In this book, David Hand looks at the ubiquitous phenomenon of "missing data." He calls this "dark data" (making a comparison to "dark matter" - i.e., matter in the universe that we know is there, but which is invisible to direct measurement). He reveals how we can detect when data is missing, the types of settings in which missing data are likely to be found, and what to do about it. It can arise for many reasons, which themselves may not be obvious - for example, asymmetric information in wars; time delays in financial trading; dropouts in clinical trials; deliberate selection to enhance apparent performance in hospitals, policing, and schools; etc. What becomes clear is that measuring and collecting more and more data (big data) will not necessarily lead us to better understanding or to better decisions. We need to be vigilant to what is missing or unknown in our data, so that we can try to control for it. How do we do that? We can be alert to the causes of dark data, design better data-collection strategies that sidestep some of these causes - and, we can ask better questions of our data, which will lead us to deeper insights and better decisions"--


Data Feminism

Data Feminism

Author: Catherine D'Ignazio

Publisher: MIT Press

Published: 2020-03-31

Total Pages: 328

ISBN-13: 0262358530

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A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.


Matters of Life and Data

Matters of Life and Data

Author: Charles D. Morgan

Publisher: Morgan James Publishing

Published: 2015-01-20

Total Pages: 346

ISBN-13: 1630474665

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Thanks to Edward Snowden and the N.S.A., “Big Data” is a hot---and controversial---topic these days. In Charles D. Morgan’s lively memoir, "Matters of Life and Data", he shows that data gathering itself is neither good nor bad---it’s how it’s used that matters. But Big Data isn’t the whole story here---Morgan is also a champion race car driver, a jet pilot, and an all-around gadget-geek-turned-business-visionary. Life is about solving the problems we’re faced with, and Charles Morgan’s life has been one of trial, error, and great achievement. His story will inspire all who read it.


Customs Matters

Customs Matters

Author: Mr. Augusto A Perez Azcarraga

Publisher: International Monetary Fund

Published: 2022-06-15

Total Pages: 320

ISBN-13:

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Customs administrations around the world face new challenges: an increasing volume of international trade, a revolution in new technologies, and fundamental changes in business models. The benefits of a well-performing customs administration are clear, as is the need to develop efficient, effective, fair, and modern customs administrations. Customs Matters analyzes the many changes and challenges customs administrations face and pro-poses ways to address them. By offering a cross-sectional view of the main aspects of customs ad-ministration, the book guides policymakers and customs officials as they evaluate the current state of their customs system with a view to developing, reinforcing, or relaunching their own roadmaps for customs modernization.


Measuring Race

Measuring Race

Author: Robert T. Teranishi

Publisher: Multicultural Education

Published: 2020

Total Pages: 0

ISBN-13: 9780807763612

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"Understanding the complexity of racial categories is essential for achieving equity and reducing inequality in the United States. The authors show how that by disaggregating data on race, researchers and policymakers can more fully understand how race is factored in educational settings"--


Street Data

Street Data

Author: Shane Safir

Publisher: Corwin

Published: 2021-02-12

Total Pages: 281

ISBN-13: 1071812661

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Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.


Measure What Matters

Measure What Matters

Author: John Doerr

Publisher: Penguin

Published: 2018-04-24

Total Pages: 322

ISBN-13: 052553623X

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#1 New York Times Bestseller Legendary venture capitalist John Doerr reveals how the goal-setting system of Objectives and Key Results (OKRs) has helped tech giants from Intel to Google achieve explosive growth—and how it can help any organization thrive. In the fall of 1999, John Doerr met with the founders of a start-up whom he'd just given $12.5 million, the biggest investment of his career. Larry Page and Sergey Brin had amazing technology, entrepreneurial energy, and sky-high ambitions, but no real business plan. For Google to change the world (or even to survive), Page and Brin had to learn how to make tough choices on priorities while keeping their team on track. They'd have to know when to pull the plug on losing propositions, to fail fast. And they needed timely, relevant data to track their progress—to measure what mattered. Doerr taught them about a proven approach to operating excellence: Objectives and Key Results. He had first discovered OKRs in the 1970s as an engineer at Intel, where the legendary Andy Grove ("the greatest manager of his or any era") drove the best-run company Doerr had ever seen. Later, as a venture capitalist, Doerr shared Grove's brainchild with more than fifty companies. Wherever the process was faithfully practiced, it worked. In this goal-setting system, objectives define what we seek to achieve; key results are how those top-priority goals will be attained with specific, measurable actions within a set time frame. Everyone's goals, from entry level to CEO, are transparent to the entire organization. The benefits are profound. OKRs surface an organization's most important work. They focus effort and foster coordination. They keep employees on track. They link objectives across silos to unify and strengthen the entire company. Along the way, OKRs enhance workplace satisfaction and boost retention. In Measure What Matters, Doerr shares a broad range of first-person, behind-the-scenes case studies, with narrators including Bono and Bill Gates, to demonstrate the focus, agility, and explosive growth that OKRs have spurred at so many great organizations. This book will help a new generation of leaders capture the same magic.


Why Privacy Matters

Why Privacy Matters

Author: Neil Richards

Publisher:

Published: 2021

Total Pages: 0

ISBN-13:

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This is a book about what privacy is and why it matters. Governments and companies keep telling us that Privacy is Dead, but they are wrong. Privacy is about more than just whether our information is collected. It's about human and social power in our digital society. And in that society, that's pretty much everything we do, from GPS mapping to texting to voting to treating disease. We need to realize that privacy is up for grabs, and we need to craft rules to protect our hard-won, but fragile human values like identity, freedom, consumer protection, and trust.


Making Information Matter

Making Information Matter

Author: Mareile Kaufmann

Publisher: Policy Press

Published: 2024-10-15

Total Pages: 186

ISBN-13: 1529233585

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Information matters to us. Whether recorded, recoded, or unregistered, information co-shapes our present and our becoming. This book advances new views on information and surveillance practices. Starting with a methodology for studying the liveliness of information, Kaufmann provides four empirical examples of making information matter: association, conversion, secrecy, and speculation. In so doing, she presents an original and comprehensive argument about the materiality of information and invites us to investigate, and to reflect about what matters. This is a go-to text for scholars and professionals working in the fields of surveillance, data studies, and the digitization of specific societal sectors.