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The proliferation of online access to social science statistical and numeric data sources, such as the U.S. Census Bureau's American Fact Finder, has lead to an increased interest in supporting these sources in academic libraries. Many large libraries have been able to devote staff to data services for years, and recently smaller academic libraries have recognized the need to provide numeric data services and support. This guidebook serves as a primer to developing and supporting social science statistical and numerical data sources in the academic library. It provides strategies for the establishment of data services and offers short descriptions of the essential sources of free and commercial social science statistical and numeric data. Finally, it discusses the future of numeric data services, including the integration of statistics and data into library instruction and the use of Web 2.0 tools to visualize data. - Written for a general reference audience with little knowledge of data services and sources who would like to incorporate support into their general reference practice - Combines information on establishing data services with an introduction to available statistical and numeric data sources - Provides insight into the integration of statistics and data into library instruction and the social science research process
This concise sourcebook takes the guesswork out of locating the best sources of data, a process more important than ever as the data landscape grows increasingly cluttered. Much of the most frequently used data can be found free online, and this book shows readers how to look for it with the assistance of user-friendly tools. This thoroughly annotated guide will be a boon to library staff at public libraries, high school libraries, academic libraries, and other research institutions, with concentrated coverage of Data sources for frequently researched subjects such as agriculture, the earth sciences, economics, energy, political science, transportation, and many more The basics of data reference along with an overview of the most useful sources, focusing on free online sources of reliable statistics like government agencies and NGOs Statistical datasets, and how to understand and make use of them How to use article databases, WorldCat, and subject experts to find data Methods for citing data Survey Documentation and Analysis (SDA) software This guide cuts through the data jargon to help librarians and researchers find exactly what they're looking for.
This revised and updated sixth edition of Reference and Information Services continues the book's rich tradition, covering all phases of reference and information services with less emphasis on print and more emphasis on strategies and scenarios. Reference and Information Services is the go-to textbook for MSLIS and i-School courses on reference services and related topics. It is also a helpful handbook for practitioners. Authors include LIS faculty and professionals who have relevant degrees in their areas and who have published extensively on their topics. The first half of the book provides an overview of reference services and techniques for service provision, including the reference interview, ethics, instruction, reader's advisory, and services to diverse populations including children. This part of the book establishes a foundation of knowledge on reference service and frames each topic with ethical and social justice perspectives. The second part of the book offers an overview of the information life cycle and dissemination of information, followed by an in-depth examination of information sources by type—including dictionaries, encyclopedias, indexes, and abstracts—as well as by broad subject areas including government, statistics and data, health, and legal information. This second section introduces the tools and resources that reference professionals use to provide the services described in the first half of the text.
Today, libraries must provide various web-based services, social media, and internet to patrons in order to adequately support their information needs. In addition to these services, the maintenance of online literature, databases, data sets, and archives cause librarians to have to handle huge amounts of data each day. Big data can support with quality improvement and problem solving to improve library services and can help librarians to provide up-to-date and innovative real-time services to library users. Big Data Applications for Improving Library Services is an essential scholarly publication that examines the implications and applications of big data analytics on services provided by libraries. Highlighting a wide range of topics such as data analytics, mobile technologies, and web-based services, this book is ideal for librarians, knowledge managers, data scientists, data analysts, cataloguers, academicians, IT professionals, researchers, and students.
Graphics which visually represent data or complex ideas are oftentimes easier for people to understand and digest than standalone statistics. A map shaded with different colors to represent religious affiliations or income levels enables researchers to quickly identify trends and patterns. New free tools and applications offer librarians the opportunity to organize and manipulate data to quickly create these helpful graphics. Learn how to overlay data sets on maps, create infographics for library services and instruction, use mindmapping for group brainstorming sessions, produce detailed timelines, process flowcharts, diagrams, and much more in this complete how-to-guidebook. This complete how-to guidebook provides you with the tools and inspiration you need to use infographics and data visualization techniques in your library to knock your audience’s socks off as you tell your story in a visual format that can be consumed and understood at a glance. You will learn how to: use the tools you already have to create a simple infographic; create a library services infographic using Piktochart; create instructional infographics with Easel.ly; create interactive timelines; mindmap your brainstorming meetings; create library flowcharts and diagrams using Creately; create interactive maps with imported data; and create complex data visualizations.
Search skills of today bear little resemblance to searches through print publications. Reference service has become much more complex than in the past, and is in a constant state of flux. Learning the skill sets of a worthy reference librarian can be challenging, unending, rewarding, and-- yes, fun.
"With the appearance of big data, open data, and particularly research data curation on many libraries' radar screens, data service has become a critically important topic for academic libraries. Drawing on the expertise of a diverse community of practitioners, this collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship. By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge. Edited by Kristi Thompson and Lynda Kellam, Databrarianship: The Academic Data Librarian in Theory and Practice provides advice and insight on data services for all types of academic libraries and will be of interest to library educators"--Publisher's website.