A privacy risk assessment model for open data

While the sharing of information has turned into a typical practice for governments and organizations, numerous datasets are as yet not openly published since they may violate users’ privacy. The hazard on data protection infringement is a factor that regularly hinders the distribution of information and results in a push back from...

How to improve policy making using open data in Virtual Research Environments? An interactive workshop discussing privacy, security and trust strategies

Governments and publicly-funded research institutions increasingly open up data collected and created through research. One way to share and use data obtained through research is through Virtual Research Environments (VREs). Insights obtained through open data use in VREs can subsequently provide input for policy making. However, this process...

A Causal Explanatory Model of Bayesian-belief Networks for Analysing the Risks of Opening Data

Open government data initiatives result in the expectation of having open data available. Nevertheless, some potential risks like sensitivity, privacy, ownership, misinterpretation, and misuse of the data result in the reluctance of governments to open their data. At this moment, there is no comprehensive overview nor a model to understand the...