In this work, authors are providing three solutions to enable GDPR compliance in business processes.
This Article analyses the framework of rules governing the processing of personal data for scientific research purposes established by the European Data Protection Regulation (GDPR).
This paper aim to help overcome a perceived paradox between the two objectives of innovation and privacy/data protection, in particular in relation to data scenarios where organisations are open to personal data they control to be reused for innovative purposes.
This article aims to provide an overview of the new rules to consider where scientific projects include the processing of personal health data, genetic data or biometric data and other kinds of sensitive information.
When complying with appropriate safeguards, the processing of personal data for scientifc research under the GDPR benefts from a special regime which is of interest for biobank research.
The EU General Data Protection Regulation (GDPR) allows researchers to process and further use personal data under the ‘research exemption’.
This paper’s primary focus is on some problems and constraints imposed to Big Data analytics according to the newly introduced GDPR.
This whitepaper shows that in fact machine learning (ML) and data protection requirements, including principles like data minimization, are compatible.
An oberview of role, tasks and requirements towards data protection officers (DPO) under EU General Data Protection Regulation (GDPR).
This paper aims to contribute to the ongoing assessment in the EU and globally of the unprecedented risks posed by this type of surveillance technology.