From e4a5ee0b1bd13518ec7684ec8caf56d25fbbd3ca Mon Sep 17 00:00:00 2001 From: Chiara Braghin Date: Wed, 12 Jun 2024 15:33:51 +0200 Subject: [PATCH] draft abstract chiara --- main.tex | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/main.tex b/main.tex index b7908ba..2a3af76 100644 --- a/main.tex +++ b/main.tex @@ -66,6 +66,11 @@ In today's data landscape, the coexistence of data quality and data privacy is critical to support high-value services and pipelines. Our approach seeks to harmonize these objectives by establishing a data governance framework that balances privacy and data quality. + + Big data’s principle of data maximization and open-ended purpose clashes with data protection regulation. + +Last, we highlight with four use cases how the principles of big data, specifically data maximization, clash with the principles of EU data protection regulation. Practically, our study provides guidelines for IT and innovation managers how to arrange and govern the sharing of data among multiple organizations. + } \tikzset{