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.
Rezensionen / Stimmen
"There is a lot of helpful guidance on regular aspects of libraries in the context of data librarianship. I would recommend this to academic and research librarians, but think it is relevant to all reference librarians." -- Refer
"There are far too few books that strike one as perfect. This is one of the few." --Reference Reviews
Reihe
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-84334-580-0 (9781843345800)
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Schweitzer Klassifikation
Lynda M. Kellam is the Data Services and Government Information Librarian at the University of North Carolina at Greensboro's University Libraries. She is UNCG's first data librarian with the mandate to create and develop data services for the Reference and Instructional Services Department. In addition to providing research assistance and instruction on data and government sources, she is the library instruction liaison to the Political Science Department, the Environmental Studies program, and the pre-Law program. She received her M.A. in Political Science from the University of Wisconsin, Madison and her MLIS from the University of North Carolina at Greensboro. She serves on the conference planning committee for the International Association of Social Science Information Services and Technology, the primary data librarianship association, and works closely with the American Library Association's Government Documents Round Table. She was named an American Library Association Emerging Leader in 2010 and received the Association of College and Research Libraries Librarian Scholarship in 2009. She is also a member of the American Political Science Association. Katharin Peter, University of Southern California, USA.
Autor*in
University of North Carolina Greensboro
University of Southern California, USA
Dedication
List of figures and tables
About the authors
Acknowledgements
Chapter 1: Introduction to data services and sources
Abstract:
History of support for numeric data
Data definitions
Chapter 2: Supporting statistical and numeric data services and sources
Abstract:
Environmental scanning
Levels of service
Models of support
Marketing and assessing data services
Future directions
Chapter 3: Reference and instruction for data sources
Abstract:
The reference interview and data
Data instruction
Statistical and data literacy
Chapter 4: Basic sources for supporting numeric data services
Abstract:
Producers of statistics
Types of sources
Search strategies
List of sources
Quick start to finding statistics and data
International
European Union and United Kingdom
United States
Canada
Other parts of the world
Special topics
Locating spatial data
Chapter 5: Data librarianship: a day in the life
Abstract:
Chapter 6: The future for numeric data services
Abstract:
Visualization
Preservation of data
Data citation
The future is data
Appendix A: Respondents' institutional profiles and full responses
Appendix B: Selected annotated bibliography
Index