Data Sciences

It is all too common an occurrence that a lack of understanding of the availability, characteristics and contents of data is a barrier to its effective use and analysis. Even if the data is well characterized, the
complexity of interacting with complex data models is a significant impediment. The goal of Project 1 is to significantly reduce the cost of reuse of LONIR data by providing powerful and intuitive tools for not only identifying relevant data elements, but to enable the end user to interactively explore the contents, structure and characteristics of the complex LONIR data sets. A unique aspect of our approach is to blend data navigation and analysis by integrating interactive data analysis and modeling tools with powerful and intuitive facet based search methods with the goal of enabling LONIR users to more rapidly identify and access data that will be of value to them.

Data is a common thread that binds together nearly every aspect of LONIR.  Be it imaging, genetics, or clinical elements, the need to collect, process and disseminate neuroscientific data of diverse types is at the core of the mission of the center.  Having diverse, well defined neuroscience data that which cannot be identified, discovered and used by the neuroscience research diminishes the potential impact of LONIR.  The goal of the Data Sciences, TR&D 1, is to create new techniques for identifying, managing and accessing complex neuroscientific data sets and to apply these techniques in a production LONIR computing infrastructure that will significantly increase use of LONIR data by the broader neuroscience research community.

By creating innovative new methods for locating and organizing LONIR data, we propose to address one of the fundamental challenges the ability to reuse data, which is rapidly finding the needed data elements.  By creating powerful, yet intuitive methods for understanding and navigating through available data, we can both improve the use of LONIR neuroscience data by existing LONIR researchers, as well as expand the scope of the community that can potentially benefit from LONIR resources.

Our aims include not only developing new methods for managing the underlying data, but also focus on creating intuitive and powerful user interfaces, and to deliver these capabilities via state of the art web based software delivery methods, as have become common place in the commercial sector and will greatly expand the potential user base for LONIR resources.