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Big Data Factories : Collaborative Approaches / / edited by Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins
| Big Data Factories : Collaborative Approaches / / edited by Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VI, 141 p. 18 illus., 14 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Computational Social Sciences |
| Soggetto topico |
Data mining
Big data Bioinformatics Application software Research—Moral and ethical aspects Data Mining and Knowledge Discovery Big Data/Analytics Computer Appl. in Social and Behavioral Sciences Research Ethics |
| ISBN | 3-319-59186-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1. Introduction -- Part 1: Theoretical Principles and Approaches to Data Factories -- Chapter2. Accessibility and Flexibility: Two Organizing Principles for Big Data Collaboration -- Chapter3. The Open Community Data Exchange: Advancing Data Sharing and Discovery in Open Online Community Science -- Part 2: Theoretical principles and ideas for designing and deploying data factory approaches -- Chapter4. Levels of Trace Data for Social and Behavioral Science Research -- Chapter5. The 10 Adoption Drivers of Open Source Software that Enables e-Research in Data Factories for Open Innovations -- Chapter6. Aligning online social collaboration data around social order: theoretical considerations and measures -- Part 3: Approaches in action through case studies of data based research, best practice scenarios, or educational briefs -- Chapter7. Lessons learned from a decade of FLOSS data collection -- Chapter8. Teaching Students How (NOT) to Lie, Manipulate, and Mislead with Information Visualizations -- Chapter9. Democratizing Data Science: The Community Data Science Workshops and Classes. |
| Record Nr. | UNINA-9910254835903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computer-supported collaborative learning at the workplace / / Sean P. Goggins, Isa Jahnke, Volker Wulf, editors
| Computer-supported collaborative learning at the workplace / / Sean P. Goggins, Isa Jahnke, Volker Wulf, editors |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer, c2013 |
| Descrizione fisica | 1 online resource (335 p.) |
| Disciplina | 658.31240785 |
| Altri autori (Persone) |
GogginsSean P
JahnkeIsa WulfVolker |
| Collana | Computer-supported collaborative learning |
| Soggetto topico |
Employees - Training of
Computer-assisted instruction |
| ISBN | 1-4614-1740-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to discourse on transforming K-12 learning by feeding ideas from CSCL at work.- Conceptual Framework for CSCL at work -- How to apply these case studies for radical workplace learning -- Case Study: Petex -- Case Study: Facebook Corporate Policy.- Case Study: Pivotal Decisions -- Case Study: Mammography -- Case Study: WoW and Informal Learning -- Case Study: Rural Technology Workers -- Case Study: Nurturing Learning Communities -- Case Study: ePortfolio System Administrator -- New Challenges for Researchers. |
| Record Nr. | UNINA-9910438338703321 |
| New York, : Springer, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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