The objective of the course is to give students a multidisciplinary appoach to data processing. According with this objective, each module is focused on a specific aspect. The aim of the first module is to provide students with the essenatial elements of data protection law, making them familiars with principles, rights and duties set by the General Data Protection Regulation (GDPR) The aim of the second module is to provide students with the essential elements of data access, making them familiar with the tools and techniques that enable gathering social science data from the Internet. In this setting, students will develop their data literacy and analysis skills, and reinforce their ability to develop code to produce applications or to achieve analytical goals. The aim of the third module is to give students a clear understanding of the data storage, access and sharing options which are available to them - ranging from simple flat file structures to commercial managed cloud databases - so that they will be able to effectively choose the correct data approach for their research projects. A well-chosen data methodology allows your data management tools to do a lot of laborious work for you, enables smooth collaboration with your colleagues and ensures that you will be able to share your research data when the time comes to publish your work.
Risultati apprendimento attesi
At the end of the course students should have acquired: knowledge and understanding of the fundamental legal concepts of data protection; autonomous ability to read the new European regulatory standards; ability to understand the essential element of data access and data storage; capacity to choose a correct data approach. The final exam aims to ascertain the results achieved in terms of learning, acquisition of specialized language and techniques as well as in terms of putting the rules and the principles of data access acquired into practice in small matters.
Periodo: Secondo trimestre
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