Data is one of the three pillars of the Open Serbia Consumer Email List Partnership [1] , a global movement aimed at reinventing models of democratic governance in the Internet age. It is a source of political progress, also of territorial sovereignty in the face of digital upheavals, and finally of public service progress. A territory must exist as much geographically, economically, culturally and socially as it does digitally with Data. Data is first and foremost a skill, before being a culture: agents must develop skills through experimentation, even training. This requires knowledge and practice of Data. Then the culture will come from the individual curiosity that exercise arouses.

Elected officials must also benefit from this competence and this appetite for data. It is the data which transcribes the facts and makes the analysis possible. So action can accelerate on public policy issues in the territory. Data is a long-term exercise : far from easy and intuitive data visualizations, the initial effort first focuses on cleaning and standardizing (formatting) data. For example, professional Data Scientists spend 80% of their time building up databases and 20% using data. Data work requires “thankless” and fundamental preparatory steps. These steps must be taken into account when building the collective’s skills. Communities are thus crossing levels of collective data maturity.

Data is first and foremost a ski

Patience and courage in the face of data work. Data is a source of experimentation, useful for businesses Data is the bedrock of innovations . A vector of experimentation, data can disrupt the public authority in its role of guarantor of a stabilized doctrine. The law lays the foundations which allow the territories to embark on a path which remains in part to be traced, with a role of incubator which is sometimes new for certain communities. The posture must be adjusted between that of control linked to the authority of the Public Service and that of opening up the playground for innovation and the creation of the territory.


Data is first and foremost a business asset, and a collective asset that gains in value as it circulates . Although hosted in IS, the data is not the monopoly of the IT department which is the technical operator of great value. A Data project must necessarily seek to create the conditions for valuation through the transversality of Data. For an inter-municipality, it is with all the services that this transversality must be created. But also with the actors of the communes! Data uses must respect the law. In particular personal rights , from the creation of the data until its destruction, according to the requirements clarified thanks to the GDPR . But also the rights of citizens linked to the opening of public data.

Data is a long-term exercise

Communities must therefore comply with the opening of the Lemaire Law , according to the scope of the law. The rules on data must be readable by all actors, to ensure ethical and transparent development, whether political, economic or social. Data now benefits from feedback on the method : Data projects must quickly demonstrate results. They must benefit from the good practices of the projects in 2021, with an approach by experiments which quickly deliver visible results. Communities must favor tangible “modest” approaches. These approaches put in place by teams on a platform score more points than fine speeches… which can involve the teams of the Communities without their knowledge in a cathedral project.

The processing of health data is country specific, due to different systems and different data cultures. For example, we are currently working on mental illnesses to anticipate bipolar crises and make predictions. In France, we can only access a limited set of data on phones: only metadata and no content data. For example, phone opening data can predict a manic episode. But we will not have access to data on photos, for example, which can give relevant information according to their contrast. A similar study carried out in the USA would therefore give more results because of more precise data.

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