title: Technology and data-intensive science in the beginning of the 21st century.
abstract: This article is a summary of the technology issues and challenges of data-intensive science and cloud computing as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.
authors.affiliation: Microsoft Research , Redmond, Washington, USA.
authors.forename: Philip A
authors.initials: PA
authors.lastname: Bernstein
authors.forename: Dave
authors.initials: D
authors.lastname: Wecker
authors.forename: Ashok
authors.initials: A
authors.lastname: Krishnamurthy
authors.forename: Dinesh
authors.initials: D
authors.lastname: Manocha
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Gardner
authors.forename: Natali
authors.initials: N
authors.lastname: Kolker
authors.forename: Chance
authors.initials: C
authors.lastname: Reschke
authors.forename: Jesse
authors.initials: J
authors.lastname: Stombaugh
authors.forename: Pamela
authors.initials: P
authors.lastname: Vagata
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Stewart
authors.forename: Dean
authors.initials: D
authors.lastname: Welch
authors.forename: Eugene
authors.initials: E
authors.lastname: Kolker
mesh_terms: D001690:Biological Science Disciplines / Q000379:methods*; D013672:Technology / Q000379:methods*