Towards an Ethical Datamining of the Medical Data Sphere
With current development of Big Data technologies, the algorithms that exploit data flow are now playing an increasingly decisive role in personal choices. Though it would be exaggerated to say that these algorithms control us, they do orientate a certain number of our decisions. Therefore, a reflection on the study of risks associated with ethical issues around personal health data is imposed on us. Our study is based on many field surveys, interviews targeted at different actors, as well as a literature search on the subject. This work led to the realization of an innovative method of risk analysis and determination of the requirements of the ethical goals of personal health data. The aim is to make sense of realization, implementation and use of personal data in order to better control it.We propose to align concepts of ontology of the risks to those of ontology of ethical objectives requirements on the basis of best practices in the field of data security. In addition to the guide mechanism we show in this paper, the approaches used for the construction and alignment of two ontologies. Our research wish to make the first elements of a moral framework contributing to significant changes in attitudes and practices of people involved in this data. Under these conditions, our ethical analysis is the foundation of a new ethical-technical approach, respectful citizen, oriented in the direction of thought, conscience and human responsibility.