イベント / EVENT

Prof. Costantino Thanos is research director currently affiliated to the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council (CNR).
He has been the scientific coordinator of the DELOS Network of Excellence on Digital Libraries. He has served as scientific coordinator of several EU funded projects.
He has been appointed Associate Editor of the international journal "The Computer Journal", Member of the Editorial Board of the international journal "Computer Standards & Interfaces", Member of the Advisory Board of the international journal "Digital Libraries" and Member of the Executive Committee of the "European Research Consortium for Informatics and Mathematics (ERCIM).
He has served as Chairman as well as member of the Program Committee of many international conferences (VLDB, EDBT, CAiSE, ECDL, Data Engineering, ACM Multimedia).
Author of the Roadmap Report: "Global Research Data Infrastructures: The Big Data Challenges" (January 2012). He is author of several scientific publications.


Abstract:
New high-throughput scientific instruments, telescopes, satellites, accelerators, supercomputers, sensor networks and running simulations are generating massive amounts of scientific data. Companies capture trillions of bytes of information about their customers, suppliers, and operations, and millions of networked sensors are being embedded in the physical world in devices such as mobile phones and automobiles, sensing, creating, and communicating data.
Big data-- datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze --is now part of every sector and function of the global economy.
The availability of huge volumes of data is transforming the way research is carried out leading to a new data-centric way of thinking, organizing and conducting research activities. It can contribute to industrial growth and move the needle on productivity, innovation and competitiveness for entire sectors. The public sector can also boost its productivity significantly through the effective use of big data.

Today the main challenge faced by science, industry and public sector is to make the best use of the world's growing wealth of data. This means that they must able to address two kinds of problems: be able to efficiently (i) organize and store big data and (ii) develop usable information from it.
A new type of e-infrastructure, the Data Infrastructure, must be developed for harnessing the accumulating data and knowledge produced by the communities of research, industry and public sector, and optimizing the data movement across barriers and sectors of the global economy.

The talk will focus on the main challenges faced by the future Scientific Data Infrastructures (SDis), will define an organizational model for scientific disciplines based on SDIs, will describe a core set of functionality that must be provided by them and provide a set of recommendations for building the future SDIs.