Carlo Batini is full professor at University of Milan Bicocca. He obtained the graduation in Engineering at University of Roma in 1972, and the post graduation in Computer Science in 1973. Since 1983 to 1986 he has been associate professor, and since 1986 to 2001 he has been full professor at University of Roma La Sapienza. Since 2001 he is full professor at University of Milan Bicocca.
Since 1993 to August 2003 he has been on leave from university, being a member of the executive board of the Italian Authority for Information Technology in Public Administration, where he leaded significant projects in Italian Central Public Administration related to e-Government initiatives.
His main research areas have been in the past conceptual database design, schema integration, automatic layout of diagrams, visual query languages, repositories of conceptual schemas. More recently, his interests have covered data and information quality, methodologies for eGovernment and for the service life cycle, service portfolio management, value of integration in databases and in service repositories.
Since 1976 he teaches courses in Computer Science at Italian universities, on programming languages, data bases, computer architectures and systems, information systems, service systems. He wrote more than 30 books on programming languages, data bases, conceptual modeling, data quality, among them four books for the international market, published by Pearson and Springer.
In 2013 he received in Hong Kong the Elsevier Peter P. Chen Award for his research, teaching and publishing activity in conceptual modeling.
The Social Value of Big Data
In the vast phenomenon of big data, open data represent data sets made available for access by public administrations, constituencies, businesses and other actors. Most of the open data sets rely on selection criteria, based on a technology-driven perspective, rather than a focus on the potential public and social value of data to be published. Several experiences and reports confirm this issue, such as those of the Open Data Census. However, there are also relevant best practices. The goal of the talk is to introduce the topic of social value of data, show several examples of best practices, and investigate the different dimensions of a framework suitable to support public administrations, as well as constituencies, in assessing, benchmarking and enhancing the social value of open data.