Scientific data management at the johns hopkins institute for data intensive engineering and science

Data-intensive scientific computing has emerged as a theme around which we can engage in outreach for data management. We have enjoyed a rewarding intellectual experience here at IDIES, and champion this mode of research across the broader computer science research community. We encourage any science or engineering students interested in studying, or researchers seeking collaborations on data intensive challenges to explore the institute's webpage (http://idies.jhu.edu) and authors' webpages, and to contact an author via email.