What is the perception of the General Data Protection Regulation on the media?
Find more in the e-SIDES Media Analysis
In light of the entry into force of the General Data Protection Regulation (GDPR) on May 25, 2018, this white paper provides a media analysis of its implications by focusing on how the media in Germany and the United Kingdom reported on the GDPR around the regulation’s effective date. The final aim of this analysis was to investigate the GDPR’s expected impact on the competitiveness of EU companies and the deployment of Privacy-Preserving Technologies (PPTs). This white paper is based on Deliverable 4.1 of the e-SIDES project, which provides a gap analysis based on the findings related to the key ethical, legal, societal and economic issues emerging from the use of big data and the assessment of existing privacy-preserving technologies. Through this analysis, we concluded that the ethical, legal, societal and economic issues remain present, mainly because available technologies are not widely integrated into big data solutions.
Find more: Deliverable 4.1 Results of the gap analysis
About the e-SIDES project
Data-driven innovation is deeply transforming society and the economy. Although there are potentially enormous economic and social benefits, this innovation also brings new challenges for individual and collective privacy, security, as well as democracy and participation. The main objective of the CSA e-SIDES is to complement the research on privacy-preserving big data technologies, by analysing, mapping and clearly identifying the main societal and ethical challenges emerging from the adoption of big data technologies, conforming to the principles of responsible research and innovation; setting up and organizing a sustainable dialogue between industry, research and social actors, as well as networking with the main Research and Innovation Actions and Large Scale Pilots and other framework program projects interested in these issues. It will investigate stakeholders’ concerns, and collect their input, framing these results in a clear conceptual framework showing the potential trade-offs between conflicting needs and providing a basis to validate privacy-preserving technologies. It will prepare and widely disseminate community shared conclusions and recommendations highlighting the best way to ultimately build the confidence of citizens and businesses towards big data and the data economy.