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D3.2 - First version of the framework for the collection, cleaning, integration & anonymization of big data

Authors :
Gilman, Ekaterina
Kostakos, Panos
Cortés, Marta
Mehmood, Hassan
Riekki, Jukka
Byrne, Andrew
Valta, Katerina
Tekes, Stavros
Kumar, Chandan
Sun, Jun
Staab, Steffen
Pragidis, Ioannis
Tsintzos, Panagiotis
Geronikolaou, Georgios
Filareti Tsalakanidou
Chantas, Ioannis
Papastergios, Georgios
Tzoumaka, Paraskevi
Kelessis, Apostolos
Papafilis, Petros
Christantonis Charistes
Kontos, Vasileios
Mimilidis, Manolis
Chatzis, Charalampos
Doudouliakis, Konstantinos
Yiannis Kompatsiaris
Erkazancı, Alperen
Özkan, Hafize İlhan
M. Serdar Yümlü
Gültekin, Habib
Tosunoğlu, Caner
Beeckman, Rebecca
Looveren, Ronny Van
Leroux, Philip
O'Suilleabhain, Darragh
Daly, Maire
Walsh, Elaine
O'Reilly, Anthony
Thornton, Kieran
O'Brien, Noreen
Publication Year :
2018
Publisher :
Zenodo, 2018.

Abstract

This report delivers the first version of the CUTLER data collection and pre-processing framework. It describes architectural and software solutions developed so far. Namely, it: i) describes the data sources utilized in the first version of the framework; ii) provides architecture for collecting and storing the data in the local testbeds; iii) discusses cleaning, harmonization, interoperability, and data privacy solutions; iv) describes the software to fetch the data to the platform; as well as v) discusses challenges and future work.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi...........a1024e5ed83f6686d8ffdb78047e766a
Full Text :
https://doi.org/10.5281/zenodo.3385964