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Numeric Data Services and Sources for the General Reference Librarian PDF

235 Pages·2011·2.22 MB·English
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Numeric Data Services and Sources for the General Reference Librarian CHANDOS INFORMATION PROFESSIONAL SERIES Series Editor: Ruth Rikowski (e-mail: [email protected]) Chandos’ new series of books is aimed at the busy information professional. They have been specially commissioned to provide the reader with an authoritative view of current thinking. They are designed to provide easy-to-read and (most importantly) practical coverage of topics that are of interest to librarians and other information professionals. If you would like a full listing of current and forthcoming titles, please visit our web site www.chandospublishing.com or email [email protected] or telephone +44 (0) 1223 499140. New authors: we are always pleased to receive ideas for new titles; if you would like to write a book for Chandos, please contact Dr Glyn Jones on email [email protected] or telephone number +44 (0) 1993 499140. Bulk orders: some organisations buy a number of copies of our books. If you are interested in doing this, we would be pleased to discuss a discount. Please contact on e-mail [email protected] or telephone +44 (0) 1223 499140. Numeric Data Services and Sources for the General Reference Librarian L M. K YNDA ELLAM with contribution from Katharin Peter Chandos Publishing Hexagon House Avenue 4 Station Lane Witney Oxford OX28 4BN UK Tel: +44 (0) 1993 848726 Email: [email protected] www.chandospublishing.com Chandos Publishing is an imprint of Woodhead Publishing Limited Woodhead Publishing Limited 80 High Street Sawston Cambridge CB22 3HJ UK Tel: +44 (0) 1223 499140 Fax: +44 (0) 1223 832819 www.woodheadpublishing.com First published in 2011 ISBN: 978 1 84334 580 0 © L.M. Kellam, 2011 British Library Cataloguing-in-Publication Data. A catalogue record for this book is available from the British Library. All rights reserved. No part of this publication may be reproduced, stored in or introduced into a retrieval system, or transmitted, in any form, or by any means (electronic, mechanical, photocopying, recording or otherwise) without the prior written permission of the Publishers. This publication may not be lent, resold, hired out or otherwise disposed of by way of trade in any form of binding or cover other than that in which it is published without the prior consent of the Publishers. Any person who does any unauthorised act in relation to this publication may be liable to criminal prosecution and civil claims for damages. The Publishers make no representation, express or implied, with regard to the accuracy of the information contained in this publication and cannot accept any legal responsibility or liability for any errors or omissions. The material contained in this publication constitutes general guidelines only and does not represent to be advice on any particular matter. No reader or purchaser should act on the basis of material contained in this publication without fi rst taking professional advice appropriate to their particular circumstances. All screenshots in this publication are the copyright of the website owner(s), unless indicated otherwise. Typeset by Refi neCatch Limited, Bungay, Suffolk. Printed in the UK and USA. Thank you to Daniel, my husband, and my parents for putting up with the process and still loving me. I dedicate this book to Daniel, Becki, and Ed. List of fi gures and tables Figures 1.1 Example of basic input of survey data into a spreadsheet 10 1.2 A bar graph depicting the distribution of student respondents to the survey by class 11 1.3 Fact sheet from American FactFinder showing social characteristics from the 2000 Census for New York, NY 13 6.1 Example of a basic map created using GIS that includes spatial data of the Southeastern United States 163 6.2 Pie charts showing different distributions 165 and 6.3 Tables 1.1 Example of statistics generated from the survey data 11 1.2 Median age by sex for the total population of New York City and for the white population of New York City from the detailed tables in the 2000 Census 14 xi Numeric Data Services for the General Reference Librarian 1.3 Sample code for variable ‘HISPAN’ from the PUMS fi le for 2000 Census of Population and Housing Technical Documentation (U.S. Census Bureau 2003). These are only a few of the possible categories for ‘HISPAN’ 17 xii About the authors Lynda M. Kellam is the Data Services and Government Information Librarian at the University of North Carolina at Greensboro’s University Libraries where she is based in the Reference and Instructional Services Department. In addition to her primary duty as data services librarian, she manages UNCG’s federal and state government depositories, serves as collection and instruction liaison to the Political Science Department and several social sciences programs, and co-ordinates the Reference Internship Program. She completed her Bachelor of Arts in political science at the University of North Carolina at Greensboro in 1997 and began study in political science at the University of Wisconsin, Madison. Her studies in Madison focused on the countries of the former Yugoslavia and national identity formation. After leaving Wisconsin with a Master’s degree in 2001, she studied in Croatia on a Fulbright student fellowship where she worked with B.a.B.e. (Budi activna, Budi emancipirana), a leading women’s rights group, as a researcher and editor. Working with B.a.B.e. reinforced her passion for assisting others with research and led her to explore the possibility of social science librarianship. Upon returning to the United States, she enrolled in the Master’s of Library and Information Studies program at the University of North Carolina at Greensboro where she concentrated in academic libraries, social science research, and instruction. After graduation in May 2007 UNCG’s University Libraries hired Lynda as the institution’s fi rst Data xiii Numeric Data Services for the General Reference Librarian Librarian with the charge of crafting the direction of this position. Her focus in the past four years has been on out- reach and promotion, collection development, and instruction. As the users at UNCG are relatively diverse (from novice data users to the data savvy), she has had to examine the full range of “levels of service.” She has been active in the profession at the state, national, and international levels. 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. The author may be contacted at: UNCG, Jackson Library, PO Box 26170, Greensboro NC 27402-6170, USA. E-mail: [email protected] Katharin Peter is Social Sciences Data Librarian for the Von KleinSmid Center Library for International and Public Affairs at the University of Southern California where she established library data services in 2007. Prior to USC, Katharin spent 6 years as a research analyst and data professional, conducting research for publication by the National Center for Education Statistics and other agencies. She has a BA in Sociology from the University of California, Santa Cruz and an MLIS from Pratt Institute, New York. xiv Acknowledgements ‘This was the best IASSIST ever!’ is the fi nal offi cial statement made by the organization’s President at the end of every annual conference. As the leading organization for data professionals and librarians, IASSIST also has a tremendously welcoming group of members. As such, this book would not be possible without the direct help of many and the indirect infl uence of a few. I fi rst want to thank Katharin Peter for both contributing to this work with her excellent chapter on data sources, but also for putting up with my unintelligible emails for over a year. I have a tendency of roping her into projects and she always responds with wonderful grace and good humor. Thank you also to the entire group of data librarians mentioned in Appendix A who contributed either by reading chapters or answering the informal interview. Special thanks to Kristin Partlo for her words of wisdom in Chapter 3. In addition to the contributors there are several data specialists who assisted indirectly with the production of this work. This book is partly the result of my attendance at the ICPSR data librarianship workshop conducted by Chuck Humphrey and Jim Jacobs. They have trained many new data librarians over the years, and without their efforts we would not have a framework for developing data services. With this work, I want a wider audience of non-data librarians to learn from their contributions. I also want to thank my colleagues at the University of North Carolina at Greensboro for assisting me, especially xv

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