The size and complexity of modern geographical datasets continues to grow a
nd with that growth comes an increased difficulty in assessing the usefulne
ss of a particular dataset for a particular problem. The task of browsing t
hrough a large database is rapidly becoming impractical because of the shea
r volume of the data, therefore, the information potential of the database
is lost because the scope of the database is beyond comprehension. This art
icle promotes new methodologies beyond the use of descriptive metadata to s
upport a user's desire to find a dataset suitable for his or her analysis.