XBRL US seeks public review and comment on version 11 of the Data Quality Committee (DQC) rules. The DQC rules aim to help filers limit mistakes and avoid data inconsistencies that can adversely affect analysis of reported financial information. The eleventh set of rules includes guidance for issuers using either the US GAAP or IFRS taxonomies.

The XBRL US Data Quality Committee (DQC US) has approved new validation rules to aid public companies in detecting inconsistencies and errors in their XBRL-formatted financial data. These rules identify potential problems, including incorrect negative values, improper relationships between elements, and incorrect data associated with certain data. The new rules, which are listed below, were approved after publication as a draft and with consideration of public comments.

The XBRL US Center for Data Quality has released the eighth set of rules and is seeking comment during a public exposure period ending February 1, 2019. The Data Quality Committee rules aim to help filers limit mistakes and avoid data inconsistencies that can adversely affect analysis of reported financial information. This release includes rules for issuers using either the US-GAAP or IFRS taxonomies.

The XBRL US Center for Data Quality has published the seventh set of rules to provide guidance and aid for issuers in identifying errors in their XBRL SEC filings. The Data Quality Committee rules aim to help filers limit mistakes and avoid data inconsistencies that can adversely affect analysis of reported financial information. The seventh release of rules includes guidance for issuers using the US-GAAP taxonomies.

On May 31, 2018 the XBRL US Center for Data Quality has released the sixth set of rules to provide guidance and aid for issuers in identifying errors in their XBRL SEC filings. The Data Quality Committee rules aim to help filers limit mistakes and avoid data inconsistencies that can adversely affect analysis of reported financial information. The sixth release of rules includes guidance for issuers using either the US-GAAP or IFRS taxonomies.

The XBRL US Center for Data Quality has begun a public review period on July 19th, 2017, for the fifth set of proposed rules to provide guidance and aid for issuers in identifying errors in their XBRL SEC filings. The Data Quality Committee rules aim to help filers limit mistakes and avoid data inconsistencies that can adversely affect analysis of reported financial information.

The XBRL US Center for Data Quality has launched a public review for five new proposed validation rules. Additionally, the Data Quality Committee (DQC) has released proposed additions to the previous rule regarding inappropriate negative values.