Using the data review tool

Use one of the links below to check that your data complies with the Beneficial Ownership Data Standard (BODS).

  • Upload a BODS file;
  • Link to BODS data on the web using a URL; or
  • Paste in your BODS JSON data

After submitting your data, use the information provided on the Results page to check and review the data’s quality and compliance with BODS. Your data can also be downloaded in alternative BODS-compliant formats from the Results page.

If your data file is larger than 10MB, this analysis may take some time. Email to get help from the Open Ownership helpdesk with checking large files. Alternatively you can install our data review library to analyse files via your command line interface.

Accepted BODS formats:
  • JSON built to the Beneficial Ownership Data Standard (UTF-8 encoding supported)
  • Multi-table data package - Excel (.xlsx) (UTF-8, Windows-1252 and ISO-8859-1 encodings supported)

About BODS

Increasingly governments across the globe require companies to disclose information about who ultimately owns and controls them (their beneficial owners). These efforts to increase corporate transparency and counter corruption require information to be shared across institutions, sectors and borders.

The Beneficial Ownership Data Standard (BODS) enables people and institutions to publish information about beneficial ownership in a standardised way. The resulting beneficial ownership data is interoperable, more easily reused, and higher quality. Learn more at the BODS documentation website.

Checking and reviewing your data

After submitting your data you will be presented with the results of your data review:

  • Download data. A chance to save your data in an alternative format.
  • Validation errors. A list of standard JSON validation errors.
  • Additional fields. If your data contains unrecognised fields, they will be listed.
  • Additional checks. A list of BODS-specific problems in the data.
  • Statistics. A breakdown of the make-up of your data and indicators of its quality.

Amend your data to address errors and problems, or to improve its quality.