001467864 000__ 03682cam\\22005777a\4500 001467864 001__ 1467864 001467864 003__ OCoLC 001467864 005__ 20230707003343.0 001467864 006__ m\\\\\o\\d\\\\\\\\ 001467864 007__ cr\un\nnnunnun 001467864 008__ 230513s2023\\\\sz\\\\\\o\\\\\000\0\eng\d 001467864 020__ $$a9783031299377$$q(electronic bk.) 001467864 020__ $$a303129937X$$q(electronic bk.) 001467864 020__ $$z3031299361 001467864 020__ $$z9783031299360 001467864 0247_ $$a10.1007/978-3-031-29937-7$$2doi 001467864 035__ $$aSP(OCoLC)1378825140 001467864 040__ $$aYDX$$beng$$cYDX$$dGW5XE 001467864 049__ $$aISEA 001467864 050_4 $$aQA76.9.B45 001467864 08204 $$a005.7$$223/eng/20230524 001467864 24500 $$aApplied data science :$$bdata translators across the disciplines /$$cDouglas G. Woolford, Donna Kotsopoulos, Boba Samuels, editors. 001467864 260__ $$aCham, Switzerland :$$bSpringer,$$c2023. 001467864 300__ $$a1 online resource. 001467864 4901_ $$aStudies in big data ;$$vv. 125 001467864 5050_ $$aTranslating science into actionable policy information a perspective on the IPCC process -- Data in Observational Astronomy -- On Becoming a Data-Scientist , Beyond Translation: Discovering Best Practices for Evidence-Informed Decision Making for Public Health Practices -- Concern for self-health during the COVID-19 pandemic in Canada: How to use quantitative data to tell an intersectional story?- Community-based participatory research and respondent-driven sampling: A statisticians, community partners and students perspectives on a successful partnership. 001467864 506__ $$aAccess limited to authorized users. 001467864 520__ $$aThe use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions, presenting an interdisciplinary collection of edited contributions across fields such as education, health sciences, natural sciences, politics, economics, business and management studies, social sciences, and humanities. Authors illustrate how to use data within a discipline, including visualization and analysis, translating and communicating results, and pedagogical considerations. This book is of interest to scholars and anyone looking to understand the use of data science across disciplines. It is ideal in a course for non-data science majors exploring how data translation occurs in various contexts and for professionals looking to engage in roles requiring data translation. 001467864 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 24, 2023). 001467864 650_0 $$aBig data. 001467864 650_0 $$aElectronic data processing. 001467864 655_0 $$aElectronic books. 001467864 7001_ $$aWoolford, Douglas G. 001467864 7001_ $$aKotsopoulos, Donna. 001467864 7001_ $$aSamuels, Boba. 001467864 77608 $$iPrint version: $$z3031299361$$z9783031299360$$w(OCoLC)1371585126 001467864 830_0 $$aStudies in big data ;$$vv. 125. 001467864 852__ $$bebk 001467864 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29937-7$$zOnline Access$$91397441.1 001467864 909CO $$ooai:library.usi.edu:1467864$$pGLOBAL_SET 001467864 980__ $$aBIB 001467864 980__ $$aEBOOK 001467864 982__ $$aEbook 001467864 983__ $$aOnline 001467864 994__ $$a92$$bISE