The core belief of P3 Data Systems is that much of the data that a company requires for creating documents, whether to meet regulatory compliance needs or other business reporting needs, can come from a structured database, or a structured data repository. This structured data repository includes company concepts, which in turn is linked with […more]
8th Ruleset published for public review and comment period The XBRL US Data Quality Committee (DQC) has finalized, approved, and published its 7th Ruleset which includes 13 types of validation checks for filings prepared using the US GAAP Financial Reporting Taxonomy as well as two guidance documents. The DQC also published an 8th Ruleset for […more]
XBRL US white paper “XBRL US Center for Data Quality, an industry initiative for the common good”, details timeline, milestone and accomplishments to date including significant reduction in errors, greater engagement with regulators and expanding usage of XBRL data.
The Data Quality Committee is soliciting input on the 7th Data Quality Ruleset during a public review and comment period that will end on September 10, 2018.
The Data Quality Committee has approved and finalized IFRS validation rules, along with US GAAP rules in its 6th ruleset. Foreign private issuers and US GAAP filers should use the rules by the June 29, 2018 effective date.
For the first time, the Data Quality Committee has published IFRS validation rules, along with US GAAP rules in its 6th ruleset. Foreign private issuers are encouraged to participate in the public review of these new rules.
XBRL US Data Quality Committee Publishes Guidance on Cash Flow, Principles for Element Selection, & New Rules for SEC Filers
XBRL US announced that the Data Quality Committee (DQC) has published guidance for tagging the Statement of Cash Flow, along with two new automated rulesets, to help issuers prepare their XBRL financial statements, in addition, to Guiding Principles for Element Selection.
XBRL US announced the start of its fifth public exposure period for guidance and rules developed by the Data Quality Committee (DQC), which is funded through the Center for Data Quality. The Committee is responsible for developing guidance and validation rules that can prevent or detect inconsistencies or errors in XBRL data filed with the SEC and focuses on data quality issues that adversely affect data analysis.
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.
The applications linked below have been reviewed and found to: incorporate the set of approved XBRL US Data Quality Committee rules, as noted next to each application, and successfully run the rules on XBRL filings to produce expected results. The latest approved version of the DQC rules and guidance validations is 7, supporting US GAAP […more]