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03231aam a2200361 i 4500 001 C05CE37AA39211ED924352D529ECA4DB 003 SILO 005 20230203011453 008 210804t20222022enka b 001 0 eng d 020 $a 178330460X 020 $a 9781783304608 020 $a 1783304596 020 $a 9781783304592 035 $a (OCoLC)1264401042 040 $a UKMGB $b eng $e rda $c UKMGB $d OCLCO $d OCLCF $d BDX $d MNE $d CDX $d PAU $d YDX $d FIE $d OCLCO $d KMS $d COO $d IWA $d SILO 050 4 $a Z711.97 D38x 2022 245 00 $a Data science in the library : $b tools and strategies for supporting data-driven research and instruction / $c edited by Joel Herndon. 264 1 $a London : $b Facet Publishing, $c 2022. 300 $a xxx, 146 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 505 00 $g 8. $t Designing for data science : planning for library data services / $r Joel Herndon. $g PART 1. $t DATA SCIENCE AND RESEARCH LIBRARIES : PERSPECTIVES. $g 1. $t Sustainability and success models for informal data science training within libraries / $r Elizabeth Wickes ; $g 2. $t The FundacioÌn Juan March DataLab : a data science unit within a research support library / $r Luis MartÃnez-Uribe, Paz Fernández and Fernando MartÃnez -- $g PART 2. $t DATA SCIENCE INSTRUCTION. $g 3. $t Toward reproducibility: academic libraries and open science / $r Joshua Quan ; $g 4. $t Start with data science / $r Mine Ãetinkaya-Rundel -- $g PART 3. $t DATA SCIENCE SERVICES. $g 5. $t In support of data-intensive science at the University of Washington / $r Jenny Muilenburg ; $g 6. $t From a data archive to data science: supporting current research / $r Tim Dennis, Zhiyuan Yao, Leigh Phan, Kristian Allen, Jamie Jamison, Doug Daniels and Ibraheem Ali -- $g PART 4. $t DESIGNING AND STAFFING DATA SCIENCE. $g 7. $t In-house training as the first step to becoming a data savvy librarian / $r Jeannette Ekstrøm ; $g 8. $t Designing for data science : planning for library data services / $r Joel Herndon. 520 $a While there is a growing literature that explores the technical details of data science and the growing methodological concerns, there have been few works that explore how these changes are influencing the work of library and information specialists and faculty. This book considers the current environment for data driven research, instruction, and consultation from a variety of faculty and library perspectives and suggests strategies for engaging with the tools and methods of data driven research. By combining case studies on data science instruction/consultation with suggestions for best practices, this book contributes to the larger literature on integrating data science training, consultation, programming, and services into both library and university programs. -- $c Provided by publisher. 650 0 $a Database management in libraries. 650 0 $a Data curation in libraries. 650 0 $a Data services librarians. 650 0 $a Research $x Data processing. 650 0 $a Big data. 700 1 $a Herndon, Joel, $e editor. 776 08 $i ebook version : $z 9781783305186 941 $a 1 952 $l USUX851 $d 20240403014018.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=C05CE37AA39211ED924352D529ECA4DB 994 $a C0 $b IWAInitiate Another SILO Locator Search