The XBRL US Data Quality Committee (DQC) recently released its 16th ruleset for a 45-day review and comment period. Additionally, the DQC will hold a 60-minute virtual seminar to provide issuers, filing agents, and particularly US GAAP filers an overview of the new draft rules. Participants will learn about the previously approved 15th ruleset, which has been available for use since June 2021, and has an effective date of September 1, 2021. The committee also will discuss how the rules affect the quality of data reported to the SEC. The event takes place on Wednesday, August 4, 2021, at 3:00 p.m. EDT. The session is free and open to the public, though registration is required. {expires: 2021-08-05} Continue reading "XBRL US DQC to Host Webinar to Discuss the 16th..." »

On July 15, 2021, XBRL US Data Quality Committee (DQC) released its 16th ruleset for a 45-day public review and comment period. The latest rule set is comprised of eight rules specific to US GAAP filers. {expires: 2021-08-01} Continue reading "XBRL US DQC Releases Ruleset 16" »

XBRL US’ Data Quality Committee (DQC) will host a one-hour web conference for industry leaders to engage in discussions and plans to establish rules and guidance for public corporations complying with the SEC’s XBRL requirements. The webinar will take place on Tuesday, June 29, 2021 and will begin at 12:00 p.m. (ET). The event is free and open to the public but registration is required. {expires: 2021-06-30} Continue reading "XBRL US to Host Virtual Data Quality Committee..." »

The XBRL US Data Quality Committee (DQC) will host a webinar to discuss the recently published 15th Ruleset, which is comprised of nine rules specific to US GAAP filers and IFRS filers. The virtual event will take place on Wednesday, May 12, 2021, from 2:00 p.m. to 3:00 p.m. EDT. This event allows the DQC the opportunity to review the impact of the rules on data quality reported through the SEC program and to clarify the new draft rules. Proposed Ruleset 15 covers a range of potential error types and will warn filers of possible problems within thousands of filings. These rules are designed to identify errors which range from incorrect use of certain axes to problems in the consistency of facts reported over time. {expires: 2021-05-13} Continue reading "XBRL US DQC to Host Webinar to Discuss Newest..." »

On April 20, 2021, XBRL US announced that it is requesting public review and comment on the fifteenth release of the Data Quality Committee (DQC) rules. The DQC is responsible for developing guidance and validation rules that can: 1) prevent or detect errors or inconsistencies in XBRL data filed with the SEC; and 2) reduce the negative impact on the timeliness and accuracy of reported financial information. {expires: 2021-06-01}
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The Financial Accounting Standards Board (FASB) has published the proposed 2021 XBRL US Data Quality Committee Rules Taxonomy (DQCRT) and its corresponding technical guide. The DQCRT integrates XBRL US Data Quality Committee (DQC) validation rules in the US GAAP Financial Reporting Taxonomy for discretionary use by filers. The FASB has also issued its own SEC Reporting Taxonomy technical guide for the proposed 2021 SEC Reporting Taxonomy.
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XBRL US is seeking public review and comment on the fourteenth release of the Data Quality Committee (DQC) rules. The DQC rulesets are intended to help filers avoid mistakes and data inconsistencies which in turn reduces negative effects on the accuracy and timeliness of reported financial information.
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XBRL US seeks public review and comment on thirteenth release of the Data Quality Committee (DQC) rules. The goal of the DQC rulesets is to help filers limit mistakes and avoid data inconsistencies that can adversely affect analysis of reported financial information. Continue reading "XBRL US DQC Releases Ruleset 13" »

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.

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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.

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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.

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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.

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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.

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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.

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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.

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