D2.5 Value-Sensitive Design and Privacy-by-Design technologies for big data analytics 1

This deliverable explains the Value-Sensitive Design approach of the SoBigData project. The SoBigData infrastructure is connected to the European Research Infrastructure for Big Data and Social Mining and accumulates various datasets from different sources, including social media content (like tweets, blogs, etc), call graphs from mobile phone call data, networks crawled from many online social networks, including Facebook and Flickr, etc. This mass collection of data raises difficult technical questions on how to design the research infrastructure in such a way that it integrates sensible limitations on the kind of data collected, informed consent, division of legal responsibilities and takes into account possible harms and injustices to the individuals whose information is being collected.

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Additional Info
Field Value
Creator Valerio Grossi, vgrossi@di.unipi.it
DeliverableAuthors Stefanie Hänold (LUH), Nikolaus Forgó (LUH), Anna Monreale (UNIPI), Salvatore Ruggieri (UNIPI), Jeroen van den Hoven (TUDelft), René Mahieu (TUDelft), David van Putten (TUDelft)
Item URL http://data.d4science.org/ctlg/ResourceCatalogue/d2_5_value-sensitive_design_and_privacy-by-design_technologies_for_big_data_analytics_1
PublicationDate 2016-08-31
system:type SoBigData.eu: Deliverable
Management Info
Field Value
Author Grossi Valerio
Maintainer Grossi Valerio
Version 1
Last Updated 9 May 2017, 10:11 (CEST)
Created 13 April 2017, 14:02 (CEST)