Leader: Dessislava Petrova-Antonova

Data management includes principles and techniques for data management such as data acquisition (collection, structuring and storing, generalization), data cleaning (consistency checking for out of range data records or extreme values, logical inconsistences finding, as well as treatment of missing responses), data aggregation and linking (transformation of large quantities of data to linked data through semantic web technologies), as well as privacy and anonymization mechanisms to facilitate data protection.