Application Certification Process

The Data Quality Committee approves rules 3-4 times per year, and XBRL US Members who participate in the Center for Data Quality and provide filing software to clients must be certified each time new rules are approved by the Committee.

Center for Data Quality software providers earn initial DQC Certification for a release by using resources and a process like the one outlined below, generating results for a version-specific targeted accession list and comparing it to a corresponding XML log to report 10 false-positive error messages.

Download Resources for Certification

Version 22 – effective for filings after November 30, 2023

• Effective ruleset – Version 22.0.2 – released October, 2023
• Accessions for the effective release – v22-0-2 accession .csv file
• Log of results that includes 10 false-positives – v22-0-2 certification results

Identify 10 false-positives in the posted log

1. Run the current effective ruleset for all accession numbers in the .csv file and generate results to a file. The file should include the following information:
   •   sec_accession_number
   •   company_name
   •   document_type
   •   filing_date
   •   rule_num
   •   rule
   •   message
   •   rule_focus (optional)

   The XML file in the posted .zip is formatted as follows:

   <rule_results>
     <result>
       <sec_accession_number>0001019687-15-000021</sec_accession_number>
       <company_name>HDIMAX MEDIA, INC.</company_name>
       <document_type>S1</document_type >
       <filing_date>2016-01-02</filing_date >
       <rule_num>DQC.US.0006.14</rule_num >
       <rule_name>DQC.US.0006</rule >
       <message>The number of days, 130 in the date range reported for 1. Description of Business, 2015-05-24 to 2015-09-30 is not consistent with the Document Fiscal Period Focus with a value of Q3.
       The properties of this us-gaap:BusinessDescriptionAndBasisOfPresentationTextBlock fact are:
       Period: 2015-05-24 to 2015-09-30
       Dimensions: none
       Unit: none
       Rule version: 1.0</message >
       <rule_focus>[CDATA{attribute value pairs as necessary}]</rule_focus>
     </result>
   </rule_results>

   View a simple example of the result.

2. Load both result sets to a database or other software and generate a diff of the logs to identify the 10 false-positive entries that have been included in the .zip.

Although this data is not to be used for DQC Certification purposes, anyone can login and query the XBRL API to view published results.