XBRL US is conducting in-person training workshops to teach preparers how to create XBRL filings for submission to the SEC. This hands-on session shows you how to use taxonomies, convert your primary financial statements and block tag your footnotes in XBRL format.
Where, When & How Much:
- Wednesday, September 16, 2009
San Francisco, California
Hotel Nikko (google map)
222 Mason Street
San Francisco, CA 94102
Price $795 - register today CPE Credit available!
Who should attend? CFOs, Controllers, External Reporting Managers, and finance staff members who have direct responsibility for implementing SEC XBRL filing requirements.
What you will learn
- How to plan, scope, budget and identify resources to meet the expected SEC mandate
- How to create an XBRL-formatted financial statement, including footnotes
Workshop agenda
- Overview of XBRL
- The SEC rule proposal
- Planning considerations – filing requirements, timing, resources, software and services
- Building an instance document – step-by-step
- Mapping financial statements to taxonomies
- Creating taxonomy extensions
- Tagging financial statements
- Validation
- Filing XBRL-formatted documents
Requirements: Attendees will be required to bring their own laptops for use during the workshop. Attendees will need to install software applications prior to the workshop – software will be made available online for downloading.
Find additional information at XBRL.us.



Written by Joanne Locke Posted on August 10, 2009
Joanne Locke, senior lecturer at the University of Birmingham (UK), is a member of the International Accounting Standards Committee Foundation’s XBRL Advisory Council. Her current research focus is the trend toward global standardization of business information.
“Where are the missing masses?” is a question that social theorist Bruno Latour poses for sociologists. It also a useful query for the XBRL community: What happened to the large numbers of users that were expected to demand “interactive data” and create the critical mass for its adoption? As Todd Neff wrote in Compliance Week, “Investors and analysts have since celebrated this regulatory milestone [the SEC mandate of interactive data] with an extended, gaping yawn.” XBRL is being adopted by regulators and stock exchanges regardless of the lack of interest, while claiming that investors are the key beneficiaries.
I want to tackle two broad questions: (1) Are retail investors (the masses) important? and if so, (2) What is needed to provide them with interactive data that is useful for them?
Read more here.



The best way to track companies filing xbrl data with the SEC is by using the RSS feed they have made available. Unfortunately it only provides the last 100 filings. The inability to search for all xbrl filings is an amazing shortcoming in the SEC’s new search interface called the Next Generation System. Why the SEC did not provide the ability to search out all xbrl filings is a complete mystery. They could have done it easily, just like SEDAR does. Here’s a link to the RSS Feed.
Read more here.



Faster, more accurate, and standardized information – XBRL promises to transform the way companies keep their stakeholders up to date. Still, it is no substitute for intimate company knowledge.
Read more here.



As the W3C Team lead for financial data and the Semantic Web, I am looking at how the Web is changing the way investors assess the value of companies.
Public companies worldwide are required to file regular reports setting out the financial health of the company. These are available from corporate investor relations websites and from regulatory agencies like the Securities and Exchange Commission (SEC). If you want to analyze this data, you have to re-key it, which involves a lot of work and introduces errors. That is all about to change.
The SEC and kindred agencies around the world are starting to require companies to file reports in XBRL (the extensible business reporting language). XBRL ties each reported item of data to the reporting concept used to collect it, and moreover, does so in a way that computers can make sense of, avoiding the need for re-keying data.
Read more here.


