Description
Having passed through the empirical/observational, the
theoretical/experimental, and the computational paradigms,
science is now conducted predominantly following the data
exploration paradigm. Data is the key in modern scientific
endeavor! Incredible amounts of it of great complexity is
generated, which is then analyzed in an automatic or semi-
automatic fashion; this results in identification of common
patterns and trends or rare phenomena, which often
constitute new scientific discoveries or lead to those. In this
talk, we will present several contemporary scientific efforts
of major importance that are critically dependent on data
exploration. We will also outline some key relevant data-
management challenges that arise in the context of these
efforts and require significant advances in current
technology. At the end of the talk, it should be obvious that
the "e-Science 2012" Conference should be renamed into
"d-Science 2012"!
