Cataloging | RDA | Data Science | Knowledge Management
This volume provides librarians and catalogers with practical approaches to reparative cataloging as well as a broader understanding of the topic and its place in the technical services landscape.
This book provides librarians, information professionals, and data managers with an accessible guide to building their own automated cataloging systems.
Reflecting the new modelling for serials introduced by IFLA’s Library Reference Model in the most recent revisions to RDA, this up-to-date resource is an important tool for day-to-day practice as well as a reference manual for unusual or difficult cases.
Dirty data is a problem that costs businesses thousands, if not millions, every year. And with the increasing use of AI and Generative AI, it's only getting worse. In organizations large and small across the globe you will hear talk of data quality issues. What you will rarely hear about is the consequences or best practices on how to fix it.
Fully revised and updated throughout, this new edition of Between the Spreadsheets draws on classification expert Susan Walsh's years of hands-on experience in data to present a fool-proof method for cleaning and classifying your data. The book covers everything from the very basics of data classification to normalization and taxonomies, and presents the author's proven COAT framework, helping ensure an organization's data is Consistent, Organized, Accurate, and Trustworthy. A series of data horror stories outlines what can go wrong in managing data, and if it does, how it can be fixed as well as new advice on using GenAI and why it is so important to have clean data before using it.
After reading this book, regardless of your level of experience, not only will you be able to work with your data more efficiently, but you will also understand the impact the work you do with it has, and how it affects the rest of the organization. Written in an engaging and highly practical manner, Between the Spreadsheets, Second Edition gives readers of all levels a deep understanding of the dangers of dirty data and the confidence and skills to work more efficiently and effectively with it.
Bringing together leading practitioners and academic voices, this book considers library catalog data as a research resource.
The concepts, practices, and benefits discussed in this book are transversal and international, offering readers the opportunity to create a new level of international cooperation which will enable them to share responsibility for the quality and maintenance of knowledge and information.
"Thoroughly researched ... Highly recommended."
— Technical Services Quarterly
"The book can prove to serve in a variety of educational and work-related contexts for many years to come."
— Technicalities
Named a 2017 Choice Outstanding Academic Title
Featuring biographies and key ideas of some of the outstanding figures in the field of knowledge organization from various disciplines such as sciences, philosophy, education, with an emphasis on library and information science.
Maxwell explains the changes to RDA: Resource Description and Access brought about by 3R, and brings his handbook fully in line with all the new developments.
"This is a valuable resource written by a very reputable author. All catalogers and library school students pursuing a career in cataloging should have access to it."
— Technical Services Quarterly
The only workbook created for the new RDA, this important tool will help readers at any level of experience develop and strengthen their understanding of RDA content and structure.
"This work can be a worthwhile and thought-provoking read for anyone interested in this subject, whether or not data are a direct part of their work or academic pursuits."
— Choice
"This should be on the shelf of every research administrator, research executive, university faculty of graduate level programs, library director, and RDM training staff members. This reader highly recommends this title. "
— Journal of Hospital Librarianship
"Provides a variety of resources related to undergraduate data needs, from one-shot instruction examples to curriculum mapping to ideas on engaging faculty in learning to teach these skills. Assessment and data librarians, other disciplines of academic librarians, library administrators, and managers of service centers will find something useful in this book."
— Technical Services Quarterly
From this incisive guidebook, readers at any level of experience, from LIS students to seasoned professionals, will learn the fundamentals of marshaling data in ethical ways for library advocacy, social justice, and inclusivity.
"Offers a comprehensive approach to this very touchy subject ... [It's] a must buy for every library facing this climate of endless data used in the functioning of the organization."
— Journal of Hospital Librarianship
"Written in a straightforward and concise style ... Engaging for both those just beginning their graduate work and those who have experience in the the field, this volume provides a valuable perspective on the various benefits of data gathering." — Choice
