Open data standards support many kinds of reporting organizations, and many kinds of data, from statutory financial statements to greenhouse gas emissions to descriptive narratives.
Because XBRL is a semantic data model that describes the structure of whatever data is reported, it is technology-agnostic and can be transported by commonly used technical formats, including XML, CSV, JSON, and XHTML. While these are today’s widely used formatting technologies, tomorrow new technologies may be introduced. The XBRL standard is designed to adapt to changes in technologies as well as industry and regulatory need.
Explore the many ways XBRL is used through papers, blog posts and infographics.
By Campbell Pryde, President and CEO of XBRL US; and John Turner, CEO of XBRL International This blog is a follow-up to an earlier post on Standard Business Reporting in the Netherlands and...
By Ariel Markelevich, Professor of Accounting, Sawyer Business School, Suffolk University Artificial intelligence is increasingly used to assist in financial decision making, from financial forecasting to predicting stock prices and identifying fraud. Users...
June, 2025 GovFin 2025: Designing a Digital Future, moves online to maximize reach, features hands-on workshop for government finance officers. The 2-day conference will be held fully online to reach more state and...
The International Financial Reporting Standards (IFRS) Taxonomy is the global standard issued by the IFRS Foundation to mark up electronic IFRS financial statements. By providing the IFRS Taxonomy, the International Accounting Standards Board can...
The Nordic Council of Ministers, in 2016, began a program to make real time business data accessible and usable for innovation and growth across the Nordic region in an automatic, consent-based and secure...
By Michelle Savage, Vice President, Communications, XBRL US Let global entities submit the same digital report sent to other regulators. Give entities that only report in California an open-source (free) tool. Regulations being...
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