Single Audit, data standards, and the GREAT Act

Campbell Pryde, President and CEO, XBRL US

The success of the GREAT Act depends on the data standards, and the implementation. That’s why it’s important to have all the facts on how grantees report today, and on how the right standard can be applied to not only meet the “letter of the law” but fulfill the promise of this important legislation.


How are U.S. governments spending YOUR tax dollars?

USAFacts, DFIN and XBRL US

Data from U.S. public companies has been produced in machine-readable format for over ten years. But data from U.S. federal, state and local governments is still posted in paper-based documents. Governments should be as accountable to taxpayers as corporations are to shareholders.


XBRL US Data Quality Committee Public Exposure of 12th Ruleset

US GAAP and IFRS filers, investors, XBRL providers encouraged to participate The XBRL US Data Quality Committee (DQC) has published its 12th Ruleset for a 45-day public review and comment period, which closes on June 1, 2020. DQC rules aid US GAAP and IFRS  issuers in preparing consistent, error-free financials, by providing automated checks that […more]


XBRL Data Quality Checks Available in FASB US GAAP Financial Reporting Taxonomy

XBRL US announced today that the Financial Accounting Standards Board (FASB) has incorporated freely available validation rules into the 2020 release of the US GAAP Financial Reporting Taxonomy. The rules, developed by the XBRL US Data Quality Committee (DQC) are used by public company filers to identify and resolve errors in their XBRL financials prior […more]


XBRL US Data Quality Committee Public Review for 11th Ruleset

SEC filers, investors, XBRL providers encouraged to review and comment The XBRL US Data Quality Committee (DQC) has published its 11th Ruleset for a 45-day public review and comment period, which closes on January 3, 2020. DQC rules aid issuers in preparing consistent, error-free financials, by providing automated checks that test an XBRL-formatted financial statement […more]


How are we doing?

XBRL US Center for Data Quality AICPA, Altova, Broadridge, Certent, DataTracks, Donnelley Financial Services (DFIN), P3XBRL, RDG Filings, Toppan Merrill, Workiva

We’ve been reviewing individual corporate filings for issues related to data quality since 2015. Have you checked YOUR XBRL filing?


XBRL US Data Quality Committee Public Review for 10th Ruleset

SEC filers, investors, XBRL providers encouraged to comment, and to use approved Ruleset 9  The XBRL US Data Quality Committee (DQC) has published its 10th Ruleset for a 45-day public review and comment period, which closes on September 16, 2019. DQC rules are developed to aid issuers in preparing consistent, error-free financials, by providing automated […more]


XBRL US Data Quality Committee Launches Public Review for 9th Ruleset

SEC filers, investors, XBRL providers encouraged to review and comment The XBRL US Data Quality Committee (DQC) has published its 9th Ruleset for a 45-day public review and comment period, which closes on June 15, 2019. In addition to expanding on many existing rules, the latest ruleset contains a new category of checks that evaluates […more]


Center for Data Quality

Driven by a shared mission to improve the usability of XBRL data, members of the Center for Data Quality have contributed funding and other resources to support the Data Quality Committee’s initiative to help corporate issuers improve the quality and usability of their XBRL financial data filed with the SEC. The Committee develops freely available guidance […more]


Data Quality Certification

Does your tool or service provider run Data Quality Committee rules on your XBRL filings using version 11 (effective for filings after May 15, 2020)?

If not, why not? Finding and fixing issues identified prior to filing ensures a company’s data conforms to over 50 industry-developed, publicly-reviewed quality checks, and gives the markets a clear picture of your company financials.

See real-time company-specific data quality filing results.