Calculations and formulas are presented to help librarians gather statistics for analysis and management of the collection. Using measures of timeliness, relevancy, use percentages, user profiles, and comparisons, librarians can determine in quantitative ways the quality of a library's collection. Step-by-step directions show how to analyze data produced by automated systems, conduct random sampling, evaluate all types of information formats, and estimate the cost of updating the collection. Doll teaches in the Graduate School of Library and Information Science at Wayne University. Barron teaches in the Department of Library and Information Studies at the University of North Carolina. There is no subject index. Annotation copyrighted by Book News, Inc., Portland, OR

Adresses the art of controlling and updating your library's collection. Discussions of the importance and logistics of electronic resources are integrated throughout the book.

Taking a fresh approach, this comprehensive guide outlines the step-by-step process of collection development and management. Expert librarian Peggy Johnson offers tips for organizing and staffing, conceiving policy and creating budgets, and developing, marketing and evaluating collections.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin

Library collection management is a vital part of any library's operations. Making a Collection Count takes a holistic look at library collection management, connecting collection management activities and departments, and instructs on how to gather and analyse data from each point in a collection's lifecycle. Relationships between collections and other library services are also explored. The result is a quality collection that is clean, current, and useful. The second edition includes expanded information on collection metrics, digital collections, and practical advice for managing collections effi ciently when time and resources are tight. It also includesmore real-life examples from practicing librarians in areas such as workflow analysis, collection budgets, and collection management techniques. Chapters cover the life cycle of a collection, understanding workfl ow and collecting metrics. Physical inventory, collection objectives and bookmarks, as well as collection organization, collection budgets and marketing collections are also discussed. - Focusses on collection quality - Offers practical applications for collection librarians and managers - Relevant for different library types: public, academic, school, and special

This indispensable resource provides tools for collection management in libraries, featuring essential strategies for inventory assessment, market analysis, budgeting, marketing, and customer service. The third edition of Crash Course in Collection Development is a must-have for librarians just entering the field and professionals in need of a refresher in effective library operations. It now covers all aspects of collection development and management in all library environments including public, academic, and school libraries. Focusing on collection development basics, it begins with information on gathering statistics and analyzing community needs to design a collection that meets user needs. It goes on to guide users in writing a collection development policy, budgeting, selecting materials, managing vendor relations, understanding the publishing industry, merchandising and promoting the collection, and handling complaints. Newly included in the third edition is a discussion of new purchasing and lending models; information for academic and school librarians; and such new trends as libraries as spaces for users, collection diversity issues, makerspaces, nontraditional collections, pop-up libraries, the digital divide, and noncirculating collections. Author Wayne Disher has once again written a practical and simple introduction to an important, complex, and evolving area of library service. Find accompanying materials on Bloomsbury Online Resources: https: //bloomsbury.pub/crash-course-collection-development-3e Provides a practical introduction to collection development and management Covers the entire process of collection development, from community analysis, writing policy, and selection to promoting the collection and dealing with challenges Addresses current trends and rapidly evolving changes in the field, such as diversity issues, makerspaces, nontraditional collections, pop-up libraries, and the digital divide

Now thoroughly revised for today's 21st-century library environment, this title provides a complete update of the classic Developing Library and Information Center Collections--the standard text and authority on collection development for all types of libraries and library school students since 1979. The well-established gold standard for teaching collection development, this text provides current and thorough coverage to all of the processes and issues surrounding managing library collections. This latest edition continues to cover all aspects of collection development and management, including subjects such as needs assessment, policies, selection process theory and practice, protection, legal issues, censorship, and intellectual freedom. The book represents a total restructuring of the previous work, and reflects changes brought on by new technology and the up-and-down economy. Students and practitioners alike will benefit greatly from this up-to-date and essential text.