Data Matters

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Dark Data

Author : David J. Hand
Publisher : Princeton University Press
ISBN 13 : 0691234469
Total Pages : 344 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Dark Data by : David J. Hand

Download or read book Dark Data written by David J. Hand and published by Princeton University Press. This book was released on 2022-02-15 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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 Matters

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 030948247X
Total Pages : 103 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Data Matters by : National Academies of Sciences, Engineering, and Medicine

Download or read book Data Matters written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-01-28 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Matters of Life and Data

Author : Charles D. Morgan
Publisher : Morgan James Publishing
ISBN 13 : 1630474665
Total Pages : 346 pages
Book Rating : 4.6/5 (34 download)

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Book Synopsis Matters of Life and Data by : Charles D. Morgan

Download or read book Matters of Life and Data written by Charles D. Morgan and published by Morgan James Publishing. This book was released on 2015-01-20 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Open Scientific Data

Author : Vera Lipton
Publisher : BoD – Books on Demand
ISBN 13 : 1838809848
Total Pages : 232 pages
Book Rating : 4.8/5 (388 download)

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Book Synopsis Open Scientific Data by : Vera Lipton

Download or read book Open Scientific Data written by Vera Lipton and published by BoD – Books on Demand. This book was released on 2020-01-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows how the vision for open access to scientific data can be more readily achieved through a staged model that research funders, policy makers, scientists, and research organizations can adopt in their practice. Drawing on her own experiences with data processing, on early findings with open scientific data at CERN (the European Organization for Nuclear Research), and from case studies of shared clinical trial data, the author updates our understanding of research data - what it is; how it dynamically evolves across different scientific disciplines and across various stages of research practice; and how it can, and indeed should, be shared at any of those stages. The result is a flexible and pragmatic path for implementing open scientific data.

Metadata Matters

Author : John Horodyski
Publisher : CRC Press
ISBN 13 : 100059744X
Total Pages : 169 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Metadata Matters by : John Horodyski

Download or read book Metadata Matters written by John Horodyski and published by CRC Press. This book was released on 2022-04-03 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In what is certain to be a seminal work on metadata, John Horodyski masterfully affirms the value of metadata while providing practical examples of its role in our personal and professional lives. He does more than tell us that metadata matters—he vividly illustrates why it matters." —Patricia C. Franks, PhD, CA, CRM, IGP, CIGO, FAI, President, NAGARA, Professor Emerita, San José State University, USA If data is the language upon which our modern society will be built, then metadata will be its grammar, the construction of its meaning, the building for its content, and the ability to understand what data can be for us all. We are just starting to bring change into the management of the data that connects our experiences. Metadata Matters explains how metadata is the foundation of digital strategy. If digital assets are to be discovered, they want to be found. The path to good metadata design begins with the realization that digital assets need to be identified, organized, and made available for discovery. This book explains how metadata will help ensure that an organization is building the right system for the right users at the right time. Metadata matters and is the best chance for a return on investment on digital assets and is also a line of defense against lost opportunities. It matters to the digital experience of users. It helps organizations ensure that users can identify, discover, and experience their brands in the ways organizations intend. It is a necessary defense, which this book shows how to build.

Data Feminism

Author : Catherine D'Ignazio
Publisher : MIT Press
ISBN 13 : 026254718X
Total Pages : 328 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Data Feminism by : Catherine D'Ignazio

Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2023-10-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Why Privacy Matters

Author : Neil Richards
Publisher : Oxford University Press
ISBN 13 : 0190939044
Total Pages : 305 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis Why Privacy Matters by : Neil Richards

Download or read book Why Privacy Matters written by Neil Richards and published by Oxford University Press. This book was released on 2021-01-26 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cover -- Half Title -- Why Privacy Matters -- Copyright -- Contents -- Introduction: The Privacy Conversation -- Part I -- 1. What Privacy Is -- 2. A Theory of Privacy as Rules -- 3. What Privacy Isn't -- Part II -- 4. Identity -- 5. Freedom -- 6. Protection -- Conclusion: Why Privacy Matters -- Acknowledgments -- Notes -- Index.

Measuring Race

Author : Robert T. Teranishi
Publisher : Multicultural Education
ISBN 13 : 9780807763612
Total Pages : 0 pages
Book Rating : 4.7/5 (636 download)

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Book Synopsis Measuring Race by : Robert T. Teranishi

Download or read book Measuring Race written by Robert T. Teranishi and published by Multicultural Education. This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Data Matters

Author : Nicholas Maxwell
Publisher : Springer
ISBN 13 :
Total Pages : 644 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis Data Matters by : Nicholas Maxwell

Download or read book Data Matters written by Nicholas Maxwell and published by Springer. This book was released on 2004 with total page 644 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s reader is increasingly inundated with data and statistics, yet has little mathematical or statistical training to help him understand the storm of data in which he lives. Data Matters talks directly to those readers, without formulas, without heavy mathematics. It will appeal to any motivated reader who wants help understanding the data he reads in the newspaper, sees on TV, or encounters on the job. Author Nicholas Maxwell uses easy-to-understand explanations, real-world contexts and a focus on statistical concepts to help bring a deeper understanding of the world. Each chapter is packed with real data and quotes from today’s news media. Interesting and relevant topics are used to illustrate the core mathematical ideas. The text is written with non-math, non-science readers in mind. Yet it still provides the resources needed to fully understand and apply statistics.

Customs Matters

Author : Mr. Augusto A Perez Azcarraga
Publisher : International Monetary Fund
ISBN 13 :
Total Pages : 320 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Customs Matters by : Mr. Augusto A Perez Azcarraga

Download or read book Customs Matters written by Mr. Augusto A Perez Azcarraga and published by International Monetary Fund. This book was released on 2022-06-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Measure What Matters

Author : John Doerr
Publisher : Penguin
ISBN 13 : 052553623X
Total Pages : 322 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Measure What Matters by : John Doerr

Download or read book Measure What Matters written by John Doerr and published by Penguin. This book was released on 2018-04-24 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: #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.

Manufacturing Matters

Author : Stephen S. Cohen
Publisher : New York : Basic Books
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Manufacturing Matters by : Stephen S. Cohen

Download or read book Manufacturing Matters written by Stephen S. Cohen and published by New York : Basic Books. This book was released on 1987-06-03 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Race Matters, 25th Anniversary

Author : Cornel West
Publisher : Beacon Press
ISBN 13 : 0807008834
Total Pages : 138 pages
Book Rating : 4.8/5 (7 download)

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Book Synopsis Race Matters, 25th Anniversary by : Cornel West

Download or read book Race Matters, 25th Anniversary written by Cornel West and published by Beacon Press. This book was released on 2017-12-05 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty-fifth-anniversary edition of the groundbreaking classic, with a new introduction First published in 1993, on the one-year anniversary of the Los Angeles riots, Race Matters became a national best seller that has gone on to sell more than half a million copies. This classic treatise on race contains Dr. West’s most incisive essays on the issues relevant to black Americans, including the crisis in leadership in the Black community, Black conservatism, Black-Jewish relations, myths about Black sexuality, and the legacy of Malcolm X. The insights Dr. West brings to these complex problems remain relevant, provocative, creative, and compassionate. In a new introduction for the twenty-fifth-anniversary edition, Dr. West argues that we are in the midst of a spiritual blackout characterized by imperial decline, racial animosity, and unchecked brutality and terror as seen in Baltimore, Ferguson, and Charlottesville. Calling for a moral and spiritual awakening, Dr. West finds hope in the collective and visionary resistance exemplified by the Movement for Black Lives, Standing Rock, and the Black freedom tradition. Now more than ever, Race Matters is an essential book for all Americans, helping us to build a genuine multiracial democracy in the new millennium.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know about Data Science and why it Matters

Download The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know about Data Science and why it Matters PDF Online Free

Author : Vlad Sozonov
Publisher : Vinco Publishing
ISBN 13 : 9781950766857
Total Pages : 118 pages
Book Rating : 4.7/5 (668 download)

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Book Synopsis The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know about Data Science and why it Matters by : Vlad Sozonov

Download or read book The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What You Need to Know about Data Science and why it Matters written by Vlad Sozonov and published by Vinco Publishing. This book was released on 2019-11-21 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is no easy term to define. While there are many definitions available that point out its statistical or logical aspects, others focus on its machine learning impacts. Today only, get this Amazon book for just $19.99 for a limited time. Regularly priced at $35.99. The truth is, data science is a process that requires an understanding of multiple fields, methods, techniques, and more. Data science cannot be easily labeled because, when applied, it looks different to each person, business, or organization utilizing it. While the term may not be easy to define, what it is used for, can be used for, and approaches to it can be more easily understood. And that is precisely what this book aims to do. Scroll Up & Click to Buy Now! Here Is A Preview Of What You'll Discover...In this step-by-step book: This book will not only thoroughly go over all the skills, people, and steps involved in data science, it will also look closely at: ● What big data is and how data science came from it. ● How data has evolved, resulting in new methods for understanding it. ● How data science influenced artificial intelligence. ● How data science is used in machine learning and deep learning. ● How data science revolutionizes the way we train machines and set up neural networks. Data science, big data, machine learning, and deep learning tend to intimidate people. Many believe it is too complicated or technology-centered for them to break into these fields. This book is designed to simplify these complex areas in a way that anyone can understand the fundamentals. Whether you are just hearing about data science, are a student studying it in college, or looking to expand your career, this book has something to offer every type of data enthusiast. Order your copy today! Take action right away by purchase this book "The Fundamentals of Data Science: Big Data, Deep Learning, and Machine Learning: What you need to know about data science and why it matters.", for a limited time discount of only $19.99! Hurry Up!! Tags: ● data science quick ● data science strategy ● data science trading ● data science journal ● insight data science ● data science salary ● data science jobs ● data science espanol ● data science case study ● data science beginner guide

Introduction to Data Science

Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Information Technology for Development, Volume 13, Number 2

Author : Sajda Qureshi
Publisher : Wiley
ISBN 13 : 9780470183168
Total Pages : 0 pages
Book Rating : 4.1/5 (831 download)

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Book Synopsis Information Technology for Development, Volume 13, Number 2 by : Sajda Qureshi

Download or read book Information Technology for Development, Volume 13, Number 2 written by Sajda Qureshi and published by Wiley. This book was released on 2007-05-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A journal examining the impact of global IT from a publisher of quality research Information Technology for Development is a journal that specifically addresses global information technology issues and opportunities. It's dedicated to providing quality research, including social and technical research regarding information technology's effects on economic, social and human development. This journal's purpose includes serving as a forum for discussions about strategies, best practices, tools and techniques for assessing the impact of IT infrastructure, whether it's in government or the private sector. This is a single issue of the journal, Volume 13, Number 2, from 2007.