8 Pages Posted: 22 Feb 2010
Date Written: June 6, 2009
Certain data standards can help improve the quality of the data created according to the standards. But data standards do not always improve data quality. We introduce the notion of "quality of data standards" and argue that quality of data is affected by the quality of the standards used. We develop metrics for assessing quality of data standards. The metrics are evaluated empirically using company financial reports created using the eXtensible Business Reporting Language (XBRL) data standards. Our findings show the use frequency of standard data elements roughly follows a power law distribution. Tradeoffs exist between relevancy and completeness dimensions and between a single user perspective and user community perspective.
Keywords: Data Quality, Interoperability, Data Standards, XBRL, Power Law Distribution, Long Tail
JEL Classification: Z00
Suggested Citation: Suggested Citation
Zhu, Hongwei (Harry) and Fu, Liuliu, Quality of Data Standards: Empirical Findings from XBRL (June 6, 2009). Available at SSRN: https://ssrn.com/abstract=1556678 or http://dx.doi.org/10.2139/ssrn.1556678