Once again, Borgman hits it out of the park. She moves beyond the trendy discussion of 'big data' to focus on the real issue: data, the very concept of which differs among scholarly communities. The challenges to successful data sharing are legion, and she spells them out in detail. Those who follow her insights will save a lot of time and money. -- John Leslie King, W. W. Bishop Professor of Information, University of Michigan We live amidst a sea of data. In Big Data, Little Data, No Data, Christine Borgman explores the depths and swells of that data and how they connect with scholarship and, more broadly, systems of knowledge. The result is an invaluable guide to harnessing the power of data, while remaining sensitive to its misuses. -- Jonathan Zittrain, Professor of Law and Computer Science, Harvard University; Co-founder, Berkman Center for Internet & Society; Director, Harvard Law School Library Data by itself has no value. It's the ever-changing ecosystem surrounding data that gives it meaning. Borgman gets all of this and much more. Big Data, Little Data, No Data is filled with thoughtful discussion, examples, and case studies that provide a foundation for the much-needed conversations and decisions to be made about research data. This book is a primer for anyone trying to understand data relevancy in scholarship today. -- Gregg Gordon, President and CEO, Social Science Research Network
Christine L. Borgman is Professor and Presidential Chair in Information Studies at the University of California, Los Angeles. She is the author of From Gutenberg to the Global Information Infrastructure and Scholarship in the Digital Age (both winners of the "Best Information Science Book" award from ASIS&T), published by the MIT Press.
This reading might be of enormous value to interdisciplinary
scholars, seeking to test or adapt different data methods, but also
for students, that need to get introduced to them. Without holding
back, I would recommend this book, for its clarity, well-organised
arguments and throughout approach as a university handbook in the
area. It is more than enough to get known to status, practices and
procedures concerning any type of data in different research field
areas.
*Leonardo*
Big Data, Little Data, No Data is no mere bibliography or
literature review, nor is it a how-to-do-it manual on data
curation. It is an extended thought-piece, firmly grounded in the
author's extensive experience with all-things data, and her
knowledge of the work and writings of hundreds of other scholars
over time.
*Journal of the Association for Information Science and Technology*
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