Find out how you can leverage freely available, open source validation rules to check the consistency and quality of your own XBRL filings.
The XBRL US Data Quality Committee recently published the initial set of validation rules for public companies to use to identify and resolve errors in their own filings. These rules were developed to improve the quality of XBRL filings. Find out how to apply the rules, get specifics on the most common errors for negative values, and learn from the CFA Institute’s Mohini Singh who is a member of the Data Quality Committee, why it’s critical to get your XBRL right and how the rules can aid in that process.
- Lou Rohman, CPA, CMA, CITP, Vice President, XBRL Services, Merrill Corporation
- Mohini Singh, ACA, Director in the Financial Reporting Policy Group, CFA Institute
- Mike Starr, Chair, XBRL US Data Quality Committee; Vice President, Governmental and Regulatory Affairs, Workiva