Simplifying the Creation and Deployment of Collaborative Data Analysis and Visualization Tools
24th July 2012, 3pm - 4:30pm
Amphi Estaunie, Télécom ParisTech - 46 rue Barrault Paris 13 - Metro Corvisart (how to get there ?)
Managing and understanding the large amounts of scientific data is undoubtedly one of the most difficult research challenges scientists are facing today. Data exploration through visualization is an effective means to understand and obtain insights from large collections of data. Although several visualization tools are available, including tools with sophisticated visual interfaces, they are out of reach for users who have little or no knowledge of visualization techniques and/or who do not have programming expertise. In addition, as interdisciplinary groups work together, the ability to generate a diversified collection of analyses for a broad audience in an ad-hoc manner is essential for supporting effective scientific data exploration. Science portals and visualization web sites have been used to simplify this task by aggregating data from different sources and by providing a set of predesigned analyses
and visualizations. However, such portals are often built manually, and are not flexible enough to support the vast heterogeneity of data sources, analysis techniques, data products, and user communities that need to access this data. In this talk I will present a complete framework for streamlining the creation of customized visualization applications and to facilitate collaboration and sharing among scientists and visualization experts. I will also show how this framework has been integrated into an end-to-end climate data visualization and analysis application.
Dr. Emanuele Santos is a Professor in the Department of Computer Science, Federal University of Ceara in Brazil. She received her PhD from the University of Utah in 2010, working with professors Claudio Silva and Juliana Freire. She is a lead developer of VisTrails (http://vistrails.org) and crowdLabs (http://crowdlabs.org). Her research interests include scientific visualization, scientific workflows and data management.