Olivier Glassey and Jean‐Henry Morin
This narrative schema is also emphasized graphically on the service through lettered bullets with visual floating indications when moving the pointer over them( rollover web design technique). This allowed us to structure all scenarios consistently( Fig. 1).
4.2 Service design and implementation
Most of the second half of 2011 was spent specifying and designing the service from a features and interaction point of view. We did loose some time thinking of some fancy round radar like approach for tablets and surface computer. But when the time had come to actually implement the service, it became clear this would not be feasible. The implementation was given to a Web agency in late November 2011 in order to be able to do some testing before the launch in January 2012. The implementation cost was minimal. The respective institutions of the members of the project supported it. In 2012 our main achievements were the translation in German, Italian and English, as well as some new features such as a seal to show authoritative validation of the stories and their recommendations by an official data protection and transparency authority( Fig. 2). Other minor enhancements and features were included in this last release such as RSS feeds, news, donation button for fundraising campaigns, illustrations for the scenarios and comments on the stories. This second version was launched on the 2013 Data Protection Day( January 28, 2013).
Figure 2: ThinkData seal
4.3 Description of ThinkData service
ThinkData is an online interactive service designed as a simple website implemented on a content management system. Upon accessing the service homepage, users see a question, as a“ teaser”, related to data protection or transparency displayed randomly on a carousel( Fig. 3). When clicked, the user is taken to the relevant scenario. Users can also choose to browse the stories by general themes( e. g., biometry, geolocation, surveillance, etc.), activities( e. g., HR manager, IS manager, employee, etc.) or data types( e. g., banking, personal, medical, etc.) Currently, the service holds around 50 scenarios available online. Users also have the possibility to submit their own stories to be included after being edited for the site and checked by data protection and transparency commissioners.
For each scenario, the service provides three key information blocks( Fig. 3). First a plaintext recommendation that outlines what has to be done in a very straightforward way. To some extent this can be seen as a best practice“ how to” recommendation to help users undertake the concrete steps towards doing the things right. The second information block contains references to the relevant legal texts and principles prevailing in the described case. Finally, real life examples or external resources are linked to the scenario. These can include press articles, TV clips, or court rulings.
All scenarios can also be displayed on a single page( Fig. 4) where a filtering mechanism allows users to display only relevant scenarios, others being grayed out. In order to facilitate discovery scenarios are also displayed randomly on the page. Another feature is that users can download scenarios with a fixed layout in pdf optimized for print( e. g., for distribution to employees, supervisors or to use as reference material for training).
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