The non-profit community improving U. S. reporting through a free, open standard
Point of View
Creating a Cleaner Semantic Data Model
AI systems perform best when the underlying data model is clean, predictable, and easy to interpret.
The semantic model (the taxonomy) is the key to how machines understand reported facts. As AI becomes a standard tool for analysts, regulators, investors and data scientists, the clarity of that model becomes just as important as the data itself.
XBRL Data Community
Join the growing number of professionals using the XBRL application programming interface (API) to get reported data and check reports before filing.
Check out our growing collection of free resources, including:
California: Digital First Climate Data
To meet the goals of climate initiatives worldwide requires governments to understand the impact of industry on the environment. This can only be accomplished through standardized, digital data that is concretely understood, timely, and consistently prepared to foster a shared understanding of the current state of climate risk and to monitor changes going forward.
Academic Resources
Looking for resources to help students and colleagues understand the most significant development in accounting since double entry?
The XBRL US Academic Subcommittee is sharing materials designed to provide an overview of standardized data, generate discussion about its benefits as a research tool and get deep in the data with case studies, tools and scripts for analyzing data submitted to US and European regulators.
Engage
Public company accountants, financial service professionals, data providers, technologists, federal regulators and a growing number of industry groups view XBRL as an important component of transparency in the markets. These organizations support the business reporting standard by collaborating on XBRL US initiatives with other like-minded organizations and individuals. Learn about membership options for individuals and organizations and get started today.
