title: Education and data-intensive science in the beginning of the 21st century.
abstract: Data-intensive science will open up new avenues to explore, new questions to ask, and new ways to answer. Yet, this potential cannot be unlocked without new emphasis on education of the researchers gathering data, the analysts analyzing data and the cross-disciplinary participants working together to make it happen. This article is a summary of the education issues and challenges of data-intensive sciences and cloud computing as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.
authors.affiliation: University of Washington , Seattle, Washington, USA.
authors.forename: Fredric
authors.initials: F
authors.lastname: Wolf
authors.forename: Russ
authors.initials: R
authors.lastname: Hobby
authors.forename: Sonya
authors.initials: S
authors.lastname: Lowry
authors.forename: Andrew
authors.initials: A
authors.lastname: Bauman
authors.forename: B Robert
authors.initials: BR
authors.lastname: Franza
authors.forename: Biaoyang
authors.initials: B
authors.lastname: Lin
authors.forename: Sean
authors.initials: S
authors.lastname: Rapson
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Stewart
authors.forename: Eugene
authors.initials: E
authors.lastname: Kolker
mesh_terms: D001690:Biological Science Disciplines / Q000193:education*