DQC_0015-V4
Public Review Ended
Aug 15, 2017

Negative Values – Additions to Existing Rule

Additional elements added.


Quality Rule Development v3

Awarded to XBRL US Members who collaborated in the Center for Data Quality to research and propose rules to the Data Quality Committee for Version 3 of Approved Rules & Guidance.


Quality Rule Development v2

Awarded to XBRL US Members who collaborated in the Center for Data Quality to research and propose rules to the Data Quality Committee for Version 2 of Approved Rules & Guidance.


Quality Rule Processing 2017

Awarded to: individuals from public companies who have processed at least one quarterly financial report against the Data Quality Committee’s Approved Rules using an XBRL US service, or XBRL US Members using a Center for Data Quality Certified tool or service on behalf of clients.


Quality Rule Development v1

Awarded to XBRL US Members who collaborated in the Center for Data Quality to research and propose rules to the Data Quality Committee for Version 1 of Approved Rules & Guidance.


Quality Rule Processing 2016

Awarded to: individuals from public companies who have processed at least one quarterly financial report against the Data Quality Committee’s Approved Rules using an XBRL US service, or XBRL US Members using a Center for Data Quality Certified tool or service on behalf of clients.


DQC_0015-V3
Public Review Ended
Dec 13, 2016

Negative Values – Additions to Existing Rule

Additional elements added.


DQC XBRL Rule Review: 7th Approved Ruleset and 8th Proposed Ruleset

3:00 PM EDT Wednesday, January 16, 2019
XBRL US Webinar
Watch / listen to replay

Attend this one-hour session to learn about the 7th Approved Ruleset for US GAAP filers and the 8th Proposed Ruleset for IFRS filers, how to implement them, and how you can weigh in on final standards that are set.


Data Quality Committee Announces 3rd Set of Approved Rules Covering Over 3,300 US GAAP Concepts

The freely-available rules and guidance developed by an industry coallaborative help public companies detect inconsistencies or errors in their XBRL-formatted financial data. Several tools are certified for implementation of the approved rules.


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Aggregated Real-time Filing Errors (5)

Application of the Data Quality Committee’s (DQC) freely-available, open-source rules and guidance by public companies and their filing agents as partners has resulted in reduction in the overall number of issues noted by the DQC in EDGAR filings since the collaborative effort of industry stakeholders – filers, filing agents, data providers, academics, standard-setters and member associations – was launched in 2015.