Nicolas JULLIEN

Nicolas JULLIEN


Maître de conférences
Dépt. Logique des Usages, Sciences Sociales et de l'Information / GIS Marsouin

Téléphone : 02 29 00 12 45
Télécopie : 02 29 00 10 30
Courriel : nicolas.jullien@imt-atlantique.fr
ENST Bretagne
Titre

Big Data Factories. Collaborative Approaches

Auteur(s)

MATEI Sorin1, JULLIEN Nicolas3,4,5, GOGGINS Sean Patrick2

Type de document

Direction d'ouvrage

Source

springer, 2017, ISBN 978-3-319-59186-5

Année

2017

Résumé

The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as "data factoring" emphasizes the need to think of each individual dataset developed by an individual project as part of a broader data ecosystem, easily accessible and exploitable by parties not directly involved with data collection and documentation. Furthermore, data factoring uses and encourages pre-analytic operations that add value to big data sets, especially recombining and repurposing. The book proposes a research-development agenda that can undergird an ideal data factory approach. Several programmatic chapters discuss specialized issues involved in data factoring (documentation, meta-data specification, building flexible, yet comprehensive data ontologies, usability issues involved in collaborative tools, etc.). The book also presents case studies for data factoring and processing that can lead to building better scientific collaboration and data sharing strategies and tools. Finally, the book presents the teaching utility of data factoring and the ethical and privacy concerns related to it. Chapter 9 of this book is available open access under a CC BY 4.0 license at link.springer.com

Labos

1 : CERIAS - Center for Education and Research in Information Assurance and Security (Purdue University)
2 : iSchool - iSchool - School of Information Science & Learning Technologies (University of Missouri)
3 : LUSSI(TB) - Dépt. Logique des Usages, Sciences Sociales et de l'Information (Institut Mines-Télécom-Télécom Bretagne-UBL)
4 : M@rsouin(TB) - Môle armoricain de recherche sur la société de l'information et les usages d'internet (Groupement d'intérêt scientifique)
5 : LEGO - Laboratoire d'Économie et de Gestion de l'Ouest (Université de Brest - Université de Bretagne Sud - IMT Atlantique)

Mots clés

Computational Social Sciences, Big data, Collection, Documentation, Collaborative research, Data management, Information retrieval

Référence

18237

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