XBRL US announced the start of its 14th Public Exposure of Data Quality rules, and the approval of the 13th Ruleset. 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.
Investors, developers, software providers are encouraged to participate SunSpec Alliance and XBRL US announced today the launch of a 30-day public review period for the initial draft of Orange Button data standards for solar financing. The digital dictionary of terms, called a taxonomy, was developed as part of the U.S. Department of Energy SunShot Initiative’s […more]
XBRL US announced today that it will hold a free, half-day forum, “Smart Data, Better Results”, for investors, analysts, and regulators, as well as data and analytical tool providers. The event is hosted by Baruch College’s Zicklin School of Business in New York City, with sponsorship by CFA Institute and CFA Society New York.
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.
Standards have been used to successfully automate the collection of data for surety underwriting which historically has been a highly manual process. XBRL was used to enable the consistent and accurate consumption of financial data from contractors into a surety’s financial database, helping to streamline contractor access to credit and increase underwriting efficiency.
New rule would improve efficiency of SEC filing XBRL US today applauded the unanimous vote by the Securities and Exchange Commission (SEC) to publish a rule proposal requiring public companies to submit their periodic financial statements and footnotes using Inline XBRL. The Inline XBRL submission would replace the current practice of dual XBRL and HTML […more]
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.
XBRL US and ConsenSys, a blockchain technology company, announced the formation of a working group to develop standards for tokenization of assets on the blockchain. A token is a digital representation of an asset, e.g., debt, equity, cash or a physical asset (i.e. a vehicle or a piece of artwork).
Issuers encouraged to use the rules to identify and resolve data quality errors in financials XBRL US announced that it had published the second set of approved rules and guidance developed by the Data Quality Committee (DQC), which are now freely available for issuers to use to identify and correct errors in their filings. The […more]
XBRL US announced the start of its third 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 national consortium for
the business reporting standard
