tree person(s) data associations implications relationships with others
(law) pillars… consent form, exemption guarantees, [static] confidentiality special relationship privacy space, relationships, information data protection principles, [what about contexts ] contracts transfers, sharing public interest balancing always
Identifiable data Research data Police Social workers Clinicians Sick people Risky people Researchers Healthy people Commercial companies informal formal Health records Criminal records Biobanks Blood Bank Clinical trials Surveys and censuses Cohort studies Samples Small tissue and data collections Social networking Commercial companies Members of a population
28-29 October 2011 Patient-Centricity International Conference, Rome, Italy data subjects data controllers data controllers ?
boundaries identifiability and configuration dependency relationship dependency no one set of relationships problem with fixed boundaries difficulty of ‘absolutes’ reactive interpretation / contextual integrity? how to reconfigure?
sum up protecting something no longer fixed it is not about the data: it is about context(s) future associations relationships (and which interest others)? case studies