Εξώφυλλο

Data Management and Digital Infrastructure in Social Sciences

Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on data literacy, documentation, platforms, and workflows that support transparency and reproducibility. Written for postgraduate students and early-caree...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Κύριοι συγγραφείς: Sułkowski, Łukasz, Woźniak, Andrzej, Seliga, Robert, Lis, Marcin
Μορφή: Online
Γλώσσα:Αγγλικά
Έκδοση: Taylor & Francis 2026
Θέματα:
Research data management
Open science practices
Data governance ethics
Metadata standards
Reproducible research workflows
Digital repositories
Advanced data infrastructure for social sciences
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology
thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
Διαθέσιμο Online:ONIX_20260621T103021_9781040960790_24
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Περίληψη:Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on data literacy, documentation, platforms, and workflows that support transparency and reproducibility. Written for postgraduate students and early-career researchers in the social sciences and management, the volume also supports instructors and research support staff who need a grounded, course-ready guide to modern data practices, including links to evidence-based management and real-world research settings.

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