If you'd like to be an alpha tester for CROWN, create an account below. By signing up as an alpha tester, you acknowledge the data presented may be incomplete and contain errors. For more information, see our Frequently Asked Questions.
Frequently Asked Questions
What is the purpose of the CROWN Database?
CROWN, or the Corporate Reporting and Ownership Database, extracts and presents
relevant corporate governance data contained in regulatory filings made publicly
available through the Securities and Exchange Commission’s EDGAR and Financial
Industry Regulatory Authority’s IAPD databases.
We focus our data extraction efforts on critical governance issues of publicly-traded
corporations, individuals, and institutional investors that will be useful for both
academics and practitioners.
For background on the development of the CROWN Database, please see Professor
Robert Jackson’s launch presentation of the CROWN database at the 2015 Millstein
What type of information is available in CROWN?
CROWN presents data for three core groups: Public Companies, Individuals, and Investors. The relevant data points for each group are:
Public Companies: Officers and Directors, Executive Compensation, Ownership, and Charters and Bylaws Individuals: Affiliated Corporations (Directorships and officer positions), Executive Compensation, and Ownership of Public Companies Investors: Assets Under Management, Portfolio Allocation, Owners and Managers, and Disclosure Reporting Pages
Over time and in response
to feedback, additional data points may be added to the CROWN Database.
Where is the data pulled from?
CROWN draws its data from publicly available filings submitted to the SEC and FINRA. These include:
We apply the latest techniques in statistical machine learning and natural language
processing, along with patent pending algorithms, to extract data from regulatory filings.
CROWN processes tabular data and text contained in these filings, and tags the key
data points for inclusion in the CROWN database.
Why does the website report data X when it should say data Y?
Several reasons could lead to different than expected data, such as:
1) We may use a different definition for the data in question, which may aggregate or
combine raw SEC data in a way that may not be immediately obvious.
2) The filings may contain structural inconsistencies that depart from how most filings
are submitted to EDGAR, which could lead to errors in the data extraction process.
3) There is an error in our algorithms or scripts.
Whenever you see something unusual, we highly encourage you to describe the finding
on the feedback form on the right side of each page. This will notify us of the issue so
we can investigate it. Your feedback is extremely valuable.
Why is data X missing?
CROWN is a work in progress and due to the large scope of our project, we do not
promise that our algorithms will capture all data points across all years for all
companies, individuals, and investors who have filed with EDGAR or IAPD.
Please report missing or incorrect data with the feedback form.
What is the Columbia Law School Data Lab?
The CLS Data Lab is the first data science lab embedded in a law school uses statistical machine-
learning and data visualization to support empirical legal and provide analytical tools for
corporate-governance practitioners. For more information about the Lab, please visit
Who can I contact for more information about CROWN?
If you have any questions or would like more information about the CROWN Database, please
contact Gregory Klochkoff at email@example.com.
×Reminder: CROWN is currently in alpha and may contain incomplete data or errors. Please let us know if you see any errors by using the feedback form on the right of each page.
Highest Paid Individuals by Company
The highest paid individual in each year for a given company is reported from summary compensation table data taken from form Form DEF 14As filed between 1999 and 2014 for the 100 largest market-cap companies.
Equity ownership by corporate insiders (Form 3, ,4, and 5 filers) and institutional investors (13F filers) is visualized for top 500 largest by market cap in 2014. Bubbles are sized by the company's market capitalization and colored by industry.
Tip: Click and Drag to resize graph view and
Click a bubble to visit its company's page.