I have begun an attempt to query HEAT for any useful statistics that could aid us in our mission. Since HEAT has a unique way of structuring its data in its semi-relational model it has been challenging to pull helpful information. One primary reason for this is that the important information we would want to know about (e.g. sites, problem/request details, etc…) are in free-text fields which cannot be queried easily. Another obstacle is that there seem to be a variety of methods currently (historically) used to categorize Web Site specific events. I spent a few hours this week getting to know the database structure and I should be able to provide some statistics (qualified) by early next week. If anyone has suggestions on the type of information/stats we could pull please send them my way. For now I will look for the obvious stats and we can drill into HEAT further as we discover more about HEAT’s dB and where the data is stored.