A more human-centric privacy managing approach for RDF and Linked Data


RDF and its subset Linked Data are great technologies to support ad hoc and distributed information structures. Data can be annotated, point to other data and thus create a rich and computer-readable tapestry of information. The challenge starts, when personal and private data becomes part of that information tapestry. The common approaches for access and privacy controls still stick to the traditional folders-and-files structure. This makes it hard for humans to effectively control and understand

-how to select what is available to whom
-how to tag different privacy spheres
-how to identify data

There are a few options to approach this, but few, if none of them are human-centric. They can be hard to understand, lead to click-fatigue and thus are prone to the implementation of dark patterns.

The talk will introduce a more human-centric approach to these challenges, by establishing common sets of UX and nomenclature. These are derived from core concepts to add connotations, circumstances and relationships to Linked Data, so humans can identify which spheres of life a data point belongs to, and which facet of their identity is used in conjunction with this data.

As a result, the system will be much more human-centric, by mimicking real-life understanding and behaviours to digital systems.