LEADER 03837nam 2200517 450 001 9910795547703321 005 20221209165215.0 010 $a1-78330-518-5 010 $a1-78330-461-8 035 $a(MiAaPQ)EBC6614285 035 $a(Au-PeEL)EBL6614285 035 $a(CKB)20134096200041 035 $a(UkCbUP)CR9781783304615 035 $a(PPN)271439688 035 $a(EXLCZ)9920134096200041 100 $a20220405d2022 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aData science in the library $etools and strategies for supporting data-driven research and instruction /$fedited by Joel Herndon 210 1$aLondon :$cFacet Publishing,$d2022. 215 $a1 online resource (xxx, 146 pages) 300 $aTitle from publisher's bibliographic system (viewed on 07 Apr 2022). 311 08$aPrint version: Herndon, Joel Data Science in the Library London : Facet Publishing,c2021 9781783304608 327 $gIntroduction:$tThe rise of data science --$gPART 1:$tDATA SCIENCE AND RESEARCH LIBRARIES: PERSPECTIVES --$g1.$tSustainability and success models for informal data science training within libraries /$rElizabeth Wickes --$g2.$tThe Fundacio?n Juan March DataLab: a data science unit within a research support library /$rLuis Marti?nez-Uribe, Paz Ferna?ndez and Fernando Marti?nez--$gPART 2:$tDATA SCIENCE INSTRUCTION --$g3.$tToward reproducibility: academic libraries and open science /$rJoshua Quan --$g4.$tStart with data science /$rMine C?etinkaya-Rundel --$gPART 3:$tDATA SCIENCE SERVICES --$g5.$tIn support of data-intensive science at the University of Washington /$rJenny Muilenburg --$g6.$tFrom a data archive to data science: supporting current research /$rTim Dennis, Zhiyuan Yao, Leigh Phan, et al --$gPART 4:$tDESIGNING AND STAFFING DATA SCIENCE --$g7.$tIn-house training as the first step to becoming a data savvy librarian /$rJeannette Ekstrøm --$g8.$tDesigning for data science: planning for library data services /$rJoel Herndon. 330 $aIn the last decade, data science has generated new fields of study and transformed existing disciplines. As data science reshapes academia, how can libraries and librarians engage with this rapidly evolving, dynamic form of research? Can libraries leverage their existing strengths in information management, instruction, and research support to advance data science?

Data Science in the Library: Tools and Strategies for Supporting Data-Driven Research and Instruction brings together an international group of librarians and faculty to consider the opportunities afforded by data science for research libraries. Using practical examples, each chapter focuses on data science instruction, reproducible research, establishing data science services and key data science partnerships.

This book will be invaluable to library and information professionals interested in building or expanding data science services. It is a practical, useful tool for researchers, students, and instructors interested in implementing models for data science service that build community and advance the discipline. 606 $aDatabase management in libraries 606 $aData curation in libraries 606 $aData services librarians 606 $aResearch$xData processing 606 $aBig data 615 0$aDatabase management in libraries. 615 0$aData curation in libraries. 615 0$aData services librarians. 615 0$aResearch$xData processing. 615 0$aBig data. 676 $a005.74 702 $aHerndon$b Joel 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910795547703321 996 $aData science in the library$93730868 997 $aUNINA