Little Traveller, Gooding Simone

Автор: Gooding, Paul
Название: Historic newspapers in the digital age
ISBN: 1472463382 ISBN-13(EAN): 9781472463388
Издательство: Taylor&Francis
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Цена: 24499.00 р.
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Описание:

In recent years, cultural institutions and commercial providers have created extensive digitised newspaper collections. This book asks the timely question: what can the large-scale digitisation of newspapers tell us about the wider cultural phenomenon of mass digitisation? The unique form and materiality of newspapers, and their grounding in a particular time and place, provide challenges for researchers and digital resource creators alike. At the same time, the wider context in which digitisation of cultural heritage occurs shapes the impact of digital resources in ways which fall short of the grand ambitions of the wider theoretical discourse. Drawing on case studies from leading digitised newspaper collections, the book aims to provide a bridge between the theory and practice of how these digitised collections are being used. Beginning with an exploration of the hyperbolic nature of technological discourses, the author explores how web interfaces, funding models and the realities of contemporary user behaviour contrast with the hyperbolic discourse surrounding mass digitisation. This book will be of particular interest to those who want to investigate how user studies can inform our understanding of technological phenomena, including digital resource creators, information professionals, students and researchers in universities, libraries, museums and archives.　

Автор: Hibbert, D.brynn Gooding, J. Justn
Название: Data analysis for chemistry
ISBN: 0195162110 ISBN-13(EAN): 9780195162110
Издательство: Oxford Academ
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Цена: 4196.00 р.
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Описание: Providing information on chemical data analysis, this book aims to make data analysis simple by demystifying the language and whenever possible giving unambiguous ways of doing things. It covers topics such as measurements, means and confidence intervals, hypothesis testing, analysis of variance, and calibration models.