The contributions are:

Privacy metrics in employment - verifying privacy compliant consent.
Agile resource planning based on real-time collection of potentially sensitive information is of high commercial interest to companies in many industries. This paper presents an example of a data protection metric that employers and employees can use to verify whether personal data are processed in a data protection-compliant manner in the context of agile resource planning.
Authors: Sarah Diel (LL.M.), Fraunhofer SIT; Matthias Kohn, University of Bremen; Janine Schleper, University of Bremen, Dr. Annika Selzer, Fraunhofer SIT
The article is available at: https://rdcu.be/cBZHX

Exploiting the potential of anonymous data processing -- A proposal for smart cities
The use of ICT technologies and the linking of data can optimise the efficiency of a smart city. The aim of linking data can be, for example, to make a city (and the everyday life of its citizens) healthier, safer and - generally speaking - more liveable. The paper presents an exemplary data processing scenario and system that can be used to support the potential of anonymous data processing in smart cities.
Authors: Dr. Annika Selzer, Fraunhofer SIT; Prof. Ingo J. Timm, University of Trier and DFKI
The article is available at: https://rdcu.be/cBZHW

Designing a trust system for anonymous data exchange in a smart city environment -- ensuring adequate safeguards.
The paper discusses the implementation of the data protection principles according to Art. 5 GDPR for an exemplary data processing scenario and system that can be used to support the potential of anonymous data processing in smart cities. One focus is on the design of appropriate safeguards to implement the principle of confidentiality and integrity.
Authors: Dr. Annika Selzer, Fraunhofer SIT; Prof. Ingo J. Timm, University of Trier and DFKI
The article is available at: https://rdcu.be/cBZHR