"http://www.i-a-l.co.uk/CIQM/QualCrit.htm"
 Vgl.: Information Automation Limited and CIQM, 1999
 

Database Quality Criteria


 
 
 
The following points are largely taken from Reva Basch's article in October 1990 Database Searcher, Measuring the Quality of the Data: Report on the Fourth Annual SCOUG Retreat.
SCOUG (the Southern California Online User Group) came up with ten headings or criteria by which databases should be judged; while I do not always agree with the way in which they have divided topics by these headings ("currency" under the heading "accuracy", for instance), they do make a useful guide. The headings are: Consistency; Coverage/scope; Error rate/Accuracy; Output; Customer support and training; Accessibility/Ease of use; Timeliness; Integration; Documentation; Value to cost ratio.
Consistency
This is interpreted to mean the extent to which records within a database follow the rules with regard to field assigments, field tags and other data elements, as well as indexing and editorial decisions.

Coverage/Scope

Timeliness Accuracy/Error rate Accessibility/Ease of use
This category covers both access to online services and, at the database level, access to the information itself. Integration Output Documentation Customer support and training Value-to-cost ratio In addition to these general measures, SCOUG came up with some criteria specific to the type of database.
Bibliographic files should offer the following: Full-text databases have these special needs: Directory databases come in many forms - company, product, association, biographical, etc. Questions of content and access are especially crucial here, because a directory file is used like a reference book. If a listing is missing, inaccessible or flawed, there is often nowhere else to look for it.

© Information Automation Limited and CIQM, 1999
Links checked: 13 January 1999 14:25:18
This page last updated 13 January 1999 14:25:23
Pages maintained by IAL