Delphi study to identify criteria for the systematic assessment of data protection risks in the context of big data analytics

A Big Data Analytics (BDA) environment is a complex ecosystem that includes users, powerful infrastructure, services and applications that store, retrieve and process large amounts of data from widely dispersed sources. While BDA has improved efficiency and created business value, leading to growing interest from businesses and organisations in investing in such technologies, there are some growing concerns about the secure and lawful processing of personal data under the General Data Protection Regulation (GDPR). In this paper, we briefly describe our ongoing research that addresses these concerns that could ultimately lead to the development of an improved DPIA methodology capable of assessing data protection risks based on BDA technologies.