Todd Deshane Patty Jablonski UNISYS TuxMasters Invitational Registration Paragraph Entry We chose project number WL-10, Data Management. This project targets the need for a collection of tools to manage large structured sets of persistent data, offering ad hoc querying to multiple users. We would like to produce a tool to enable collaborative exploration or collaborative data mining from large data sets stored in a MySQL or other relational database. Although groups of people in many diverse fields are faced with characterizing large data, the work is typically done via individual long-running SQL queries with little support for collaboration among those issuing the queries. We would like to build a generic tool that can be used to explore any data set in an efficient way. This system would encourage collaboration by enabling users to reuse and build upon the queries issued by others. In addition to supporting collaboration among people, it would also use limited computing resources more efficiently by avoiding the repetition of commonly used, long-running queries through caching results. The system would be web-based and allow any Linux machine running a DBMS and a web server to be used for collaborative exploration of a data set. We have personally seen the need for such a tool in exploring a set of over 200 GB of BGP update data. Without such a tool, we wrestle with individuals running queries that take several hours to return a result with no ability to share the results with others or learn from other's mistakes.