LEADER 01402nam0-2200373 --450 001 9910265359903321 005 20180417111805.0 020 $aIT$b631353 100 $a20180417d1962----km y0itay50 ba 101 0 $aita 102 $aIT 105 $a 001yy 200 1 $aStruttura e prospettive economiche di una regione$eanalisi settoriali, studi di mercato e modello econometrico per la provincia di Torino 210 $aMilano$cA. Giuffre$d1962 215 $aXXVII, 795 p.$cill.$d24 cm 225 1 $aStudi di scienze regionali Ires, Italconsult, Sema 300 $aA cura dell'Istituto ricerche economico-sociali Aldo Valente (IRES), dell'Italconsult e della Societe d'economie et de mathematiques appliquees (SEMA) 300 $aPref. G. Grosso 610 0 $aAspetti economici$aEconomia 610 0 $aEconomia reale$aEconomia 610 0 $aAttività economiche$aEconomia 610 0 $aTorino $aEconomia 676 $a330.945$v16 702 1$aGrosso,$bGiuseppe$f<1906-1973> 712 02$aSociété d'economie et de mathématiques appliquées 712 02$aIstituto di ricerche economiche e sociali Aldo Valente 712 02$aItalconsult 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910265359903321 952 $aC4/14$b306$fDINTR 959 $aDINTR 996 $aStruttura e prospettive economiche di una regione$91063104 997 $aUNINA LEADER 02761nam 2200649 450 001 996466217703316 005 20211008144045.0 024 7 $a10.1007/11566465 035 $a(CKB)1000000000213304 035 $a(SSID)ssj0000318878 035 $a(PQKBManifestationID)11279966 035 $a(PQKBTitleCode)TC0000318878 035 $a(PQKBWorkID)10336182 035 $a(PQKB)11542834 035 $a(DE-He213)978-3-540-32094-4 035 $a(MiAaPQ)EBC3067555 035 $a(MiAaPQ)EBC6511658 035 $a(Au-PeEL)EBL6511658 035 $a(OCoLC)1166147790 035 $a(PPN)123098092 035 $a(EXLCZ)991000000000213304 100 $a20211008d2005 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aMedical image computing and computer-assisted intervention-- MICCAI 2005 $e8th international conference, Palm Springs, CA, USA, October 26-29, 2005 : proceedings, part I /$fJames S. Duncan, Guido Gerig (eds.) 205 $a1st ed. 2005. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[2005] 210 4$d©2005 215 $a1 online resource (XXXIX, 942 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3749 300 $aIncludes index. 311 $a3-540-32094-6 311 $a3-540-29327-2 320 $aIncludes bibliographical references and index. 327 $aImage Analysis and Validation -- Vascular Image Segmentation -- Image Registration I -- Diffusion Tensor Image Analysis -- Image Segmentation and Analysis I -- Clinical Applications ? Validation -- Imaging Systems ? Visualization -- Computer Assisted Diagnosis -- Cellular and Molecular Image Analysis -- Physically-Based Modeling -- Robotics and Intervention I -- Medical Image Computing for Clinical Applications -- Biological Imaging - Simulation and Modeling I. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v3749 606 $aDiagnostic imaging$xData processing$vCongresses 606 $aMedicine$xData processing$vCongresses 610 1 $aMedical image computing 610 1 $aComputer assisted intervention 610 1 $aMICCAI 615 0$aDiagnostic imaging$xData processing 615 0$aMedicine$xData processing 676 $a616.07540285 702 $aGerig$b Guido 702 $aDuncan$b James$f1951- 712 12$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466217703316 996 $aMedical Image Computing and Computer-Assisted Intervention – MICCAI 2005$9772753 997 $aUNISA LEADER 03837nam 2200517 450 001 9910810043103321 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 $a9910810043103321 996 $aData science in the library$94123307 997 $aUNINA