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The Data Book

The Data Book
Author: Meredith Zozus
Publisher: CRC Press
Total Pages: 255
Release: 2017-07-12
Genre: Computers
ISBN: 1351647733
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The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members covering how to collect and manage data for research. The book covers basic types of data and fundamentals of how data grow, move and change over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and management methods to a particular study, in essence, making good decisions about data. The first section of the book defines data, introduces fundamental types of data that bear on methodology to collect and manage them, and covers data management planning and research reproducibility. The second section covers basic principles of and options for data collection and processing emphasizing error resistance and traceability. The third section focuses on managing the data collection and processing stages of research such that quality is consistent and ultimately capable of supporting conclusions drawn from data. The final section of the book covers principles of data security, sharing, and archival. This book will help graduate students and researchers systematically identify and implement appropriate data collection and handling methods.

Science Data Book

Science Data Book
Author: Ralph. M. Tennent
Publisher:
Total Pages: 105
Release: 1971
Genre: Mathematics
ISBN: 9780050024874
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Dear Data

Dear Data
Author: Giorgia Lupi
Publisher: Chronicle Books
Total Pages: 304
Release: 2016-09-13
Genre: Design
ISBN: 1616895462
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Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Big Data

Big Data
Author: Viktor Mayer-Schönberger
Publisher: Houghton Mifflin Harcourt
Total Pages: 257
Release: 2013
Genre: Business & Economics
ISBN: 0544002695
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A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

100 Years of Bicycle Component and Accessory Design

100 Years of Bicycle Component and Accessory Design
Author: Van Der Plas Publications
Publisher: Cycle Pub
Total Pages: 209
Release: 1999
Genre: Bicycles
ISBN: 9781892495013
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The 1935 prototype of what's offered today as the hottest new derailleur design, 100-year old suspension forks, an automatic gear system from 1924, hydraulic brakes from the 1950s. They're all here in The Data Book. This comprehensive compendium of illustrations of early European bicycle component and accessory designs is more than just a collection of curios: It is a veritable source of inspiration for the development of new designs. First published 1983 in Japan by Mr. Noguchi, president of Joto Ringyo, the illustrations in this book have given inspiration to many modern component and accessory designers, proving the wisdom of the ancient Chinese proverb quoted by the original publisher: "To understand the future, you must study the past."

The TTL Data Book

The TTL Data Book
Author: Texas Instruments Incorporated
Publisher:
Total Pages: 362
Release: 1984
Genre: Diodes, Schottky-barrier
ISBN:
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The Luftwaffe Data Book

The Luftwaffe Data Book
Author: Alfred Price
Publisher:
Total Pages: 0
Release: 1997
Genre: World War, 1939-1945
ISBN: 9781853672934
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-- Invaluable Luftwaffe reference book -- Fully revised and greatly extended from the original Luftwaffe Handbook 1939-1945 This is the reference book that anyone interested in World War II aviation should have on hand. This single volume presents a remarkable range of data, from the organization of the Luftwaffe High Command to details of unit identification markings on aircraft. Based on the Luftwaffe Handbook 1939-1945, long out of print, it has been fully revised and extended to almost double the original length by aviation historian Alfred Price. Lists of the strengths, serviceability states, and equipment of units at significant points throughout the war, as well as details of operational tactics of the different units are included.

We Are Data

We Are Data
Author: John Cheney-Lippold
Publisher: NYU Press
Total Pages: 313
Release: 2017-05-02
Genre: Social Science
ISBN: 1479802441
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What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline. Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.

Beautiful Data

Beautiful Data
Author: Toby Segaran
Publisher: "O'Reilly Media, Inc."
Total Pages: 386
Release: 2009-07-14
Genre: Computers
ISBN: 144937929X
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In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

Show Me the Data!

Show Me the Data!
Author: RinaMarie S. Leon-Guerrero
Publisher: AAPC Publishing
Total Pages: 156
Release: 2011
Genre: Autism spectrum disorders
ISBN: 9781934575734
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Data collection is one of the critical elements of an effective, efficient, and accountable program that supports student development and learning. However, many intervention teams struggle to develop reasonable and sustainable methods of gathering information about student performance and progress. Now comes SHOW ME THE DATA! This must-have resource consists of a brief discussion on data collection accompanied by a CD containing a comprehensive compilation of data sheets to help make that once-dreaded task easier and simpler.