Abstract
Opportunities for countless scientific discoveries are anticipated from data intensive research and the application of computational methods and visualization tools to vast and growing data stores. These opportunities allow scientists to generate new questions, expose unseen or novel patterns, and to answer questions that challenge our global societies (Newman et al. 2003; Kelling et al. 2009). Data intensive research depends on the acquisition, organization and long-term management of these data collections. Such research also depends on the development and implementation of tools and systems for data integration, retrieval, and analysis. The emergent fields of informatics and data curation aim to meet these challenges, and each will require a skilled, professional workforce to meet the needs of the 21st century scientific enterprise.