Big Data Factories : Collaborative Approaches /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Matei, Sorin Adam. (Editor ), Jullien, Nicolas. (Editor ), Goggins, Sean P. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edición:1st ed. 2017.
Colección:Computational Social Sciences,
Materias:
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020 |a 9783319591865 
024 7 |a 10.1007/978-3-319-59186-5  |2 doi 
040 |a Sistema de Bibliotecas del Tecnológico de Costa Rica 
245 1 0 |a Big Data Factories :  |b Collaborative Approaches /  |c edited by Sorin Adam Matei, Nicolas Jullien, Sean P. Goggins. 
250 |a 1st ed. 2017. 
260 # # |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a VI, 141 p. 18 illus., 14 illus. in color. :  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Computational Social Sciences, 
505 0 |a 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. 
650 0 |a Data mining. 
650 0 |a Big data. 
650 0 |a Bioinformatics. 
650 0 |a Application software. 
650 0 |a Research—Moral and ethical aspects. 
650 1 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Big Data/Analytics. 
650 2 4 |a Bioinformatics. 
650 2 4 |a Computer Appl. in Social and Behavioral Sciences. 
650 2 4 |a Research Ethics. 
700 1 |a Matei, Sorin Adam.  |e editor. 
700 1 |a Jullien, Nicolas.  |e editor. 
700 1 |a Goggins, Sean P.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
900 |a Libro descargado a ALEPH en bloque (proveniente de proveedor)