Data Uniformity

The Data Uniformity project, whose goal is to make the archive as consistent and error-free as possible, is being accomplished by using two methods. The file-by-file method examines entries individually using ADIT. These entries are processed in groups of similar structures to insure the consistency of these data. The archival data are also being processed by looking across the archive at specific tables. Using this batch method, we have completed the tables for R-factor, resolution, and citation information. These updated tables will be implemented for use with the SearchLite and SearchFields tools and will be available early in the year 2000.

Currently, uniformity efforts are being focused on items such as source, enzyme classification, and compound.