Timely Takes Podcast: Julie Marlowe from the SEC's Office of Data Standards and Innovation on Machine-Understandable Data

Topics covered:

1. Introduction to the Office of Data Standards and Innovation: What it does and how it's staffed
2. The many use cases for machine-understandable data within the SEC
3. How the Office of Data Standards and Innovation engages with investors
4. How investors and analysts access and use machine-understandable data and the popularity of the SEC's public datasets
5. Other disclosures and data points investors would like to see made machine-understandable
6. How the use of machine-understandable data is evolving with the adoption of SI
7. Improving quality and accuracy: Common tagging errors and inappropriate tagging practices
8. Best practices for validating XBRL tags
9. How the SEC Staff engages with companies on tagging issues

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The views set forth in the podcast are the speaker's personal views and do not necessarily reflect those of their firm, company, institution, other organizations, or any of the clients with which they are associated. The Securities and Exchange Commission disclaims responsibility for any private publication or statement of any SEC employee or Commissioner. This podcast expresses the speakers' views and does not necessarily reflect those of the Commission, the Commissioners or other members of the staff.