While personal data is currently captured and monetized by platforms without real consent, the control and ability of users to act are at the heart of "self data" (or "my data"), with the ambition of placing the user at the heart of the system. Providing real means of control over personal data: this approach has been the subject of experimentation for several years: in France (MesInfos), but also in the United States (My Data Initiatives), in the United Kingdom (midata) and in Finland (MyData Finland).
For several months now, the Fing has been supporting three cities - Nantes Métropole on environmental transition, La Rochelle on sustainable mobility and Grand Lyon on social action - to enable them to implement their own Self Data experiments from 2020.
an introduction to Self Data - sharing personal data with the individuals they concern - and the major issues this theme implies for cities;
an analysis of the governance models that can be considered for sharing personal data with individuals: personal cloud, direct transfer, "trusted third party" platform, data cooperative, civic data trust ;
a tour of cities and data sharing to get inspired by some examples (or be dissuaded from following them): Barcelona, Ghent, Toronto, ... ;
Methodologies to launch the first steps of the implementation of Self Data on a territory: identify personal data, imagine use cases that mobilize them, project towards governance models to embody these use cases and make choices in field experimentation scenarios;
While personal data is currently captured and monetized by platforms without real consent, the control and ability of users to act are at the heart of "self data" (or "my data"), with the ambition of placing the user at the heart of the system. Providing real means of control over personal data: this approach has been the subject of experimentation for several years: in France (MesInfos), but also in the United States (My Data Initiatives), in the United Kingdom (midata) and in Finland (MyData Finland).
For several months now, the Fing has been supporting three cities - Nantes Métropole on environmental transition, La Rochelle on sustainable mobility and Grand Lyon on social action - to enable them to implement their own Self Data experiments from 2020.
an introduction to Self Data - sharing personal data with the individuals they concern - and the major issues this theme implies for cities;
an analysis of the governance models that can be considered for sharing personal data with individuals: personal cloud, direct transfer, "trusted third party" platform, data cooperative, civic data trust ;
a tour of cities and data sharing to get inspired by some examples (or be dissuaded from following them): Barcelona, Ghent, Toronto, ... ;
Methodologies to launch the first steps of the implementation of Self Data on a territory: identify personal data, imagine use cases that mobilize them, project towards governance models to embody these use cases and make choices in field experimentation scenarios;