3.5: Data Quality

Strive for data quality

Other Information:

Strive for data quality by all means possible, including: pre-filing consistency checks, post-filing audits, easy mechanisms that allow users to identify and correct mistakes, greater speed in posting data, more metadata about provenance, simple ways of linking datasets to detect inconsistencies, etc.

Indicator(s):

Indicator:1

Content