Items tagged with "standards"

Webinar: More XBRL Demos for FERC Filers – Session 1

3:00 PM ET Tuesday, April 27, 2021
XBRL US Webinar
Register for this FREE event

Are you ready? Fall FERC deadlines for the first quarterly filing submissions in XBRL are coming soon. Be sure to consider all options in complying with new FERC XBRL requirements. Attend this session to see demonstrations from Advanced Computer Innovations, Inc; Novaworks, LLC; and RDG Filings. Also, join us at the free webinars on April […more]


Webinar: More XBRL Demonstrations for FERC Filers – Session 2

3:00 PM ET Wednesday, April 28, 2021
XBRL US Webinar
Register for this FREE event

Are you ready? Fall FERC deadlines for the first quarterly filing submissions in XBRL are coming soon. Be sure to consider all options in complying with new FERC XBRL requirements. Attend this session to see demonstrations from Iris Business Services; Systrends, and Workiva.  Also, join us at the free webinars on April 27 and 29 […more]


Webinar: More XBRL Demos for FERC Filers – Session 3

3:00 PM ET Thursday, April 29, 2021
XBRL US Webinar
Register for this FREE event

Are you ready? Fall FERC deadlines for the first quarterly filing submissions in XBRL are coming soon. Be sure to consider all options in complying with new FERC XBRL requirements. Attend this session to see demonstrations from DataTracks and P3 Data Systems. Also, join us at the free webinars on April 27 and 28 to […more]


Webinar: Standards for Regulators – Governance & Taxonomy Maintenance

3:00 PM ET Wednesday, April 21, 2021
XBRL US Webinar
Register for the Free Webinar

Learn how regulators can establish a solid governance framework and taxonomy maintenance to support high quality data standards programs that stand the test of time.


Webinar: Get Ready for FERC XBRL Requirements (session 2 of 2)

1:30 PM ET Thursday, February 18, 2021
XBRL US Webinar
Learn about available tools and services

Are you ready? New disclosure requirements from the Federal Energy Regulatory Commission (FERC) are right around the corner with quarterly forms required to be prepared in XBRL format as early as November and December of this year. XBRL US is the nonprofit standards organization that worked with the FERC to create the FERC XBRL Taxonomy […more]


Webinar: Get Ready for FERC XBRL Requirements (session 1 of 2)

1:30 PM ET Tuesday, February 16, 2021
XBRL US Webinar
Learn about available tools and services

Are you ready? New disclosure requirements from the Federal Energy Regulatory Commission (FERC) are right around the corner with quarterly forms required to be prepared in XBRL format as early as November and December of this year. XBRL US is the nonprofit standards organization that worked with the FERC to create the FERC XBRL Taxonomy […more]


Application Certification Process

  v13 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 DQC certification for a release by […more]


Webinar: Automating Sustainability Data with XBRL

11:30 AM ET Tuesday, December 15, 2020
XBRL US Webinar
Watch / listen to replay

Hear from the Sustainability Accounting Standards Board (SASB), Wells Fargo Asset Management, Novo Nordisk and Telefonica, about the value of machine-readable ESG data for investment decisions.


FERC Reporting

Electric utilities, gas pipeline companies, oil pipeline companies, centralized service companies and electric transmitting companies reporting to the FERC are required to submit Forms 1, 2, 2-A, 3-Q, 6, 6-Q, 60 and 714 in XBRL format, starting this year.

Check out the resources we’re making available, including a list of FERC-enabled products and services from XBRL US Members.


Webinar: Machine-Readable Data through the XBRL Standard

3:00 PM ET Wednesday, September 16, 2020
XBRL US Webinar
Watch / listen to replay

Regulators and businesses should attend this webinar to learn how the single data model approach makes ensures effective data standards programs that produce machine-readable data that is easy to consume.