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Stanford Data Farm: Datasets For Research

Stanford Data Farm: Datasets For Research Online

Data Farm is Stanford University's research data exploration, extraction, and analysis tool for datasets. Stanford contracts with Redivis for use of their SaaS platform for storing, distributing, and analyzing research data. Redivis offers a modern, high-performance web-based interface that enables researchers to work with a wide variety of datasets. 

What can Data Farm do?

Data Farm allows highly efficient and fast queries (using either the visual query editor or writing SQL) directly in the browser. After performing a query, such as: filter-aggregate-combine, you can explore descriptive statistics and visualizations right away or move into integrated notebooks for further data manipulation.

Datasets on Data Farm are interoperable with common data analysis tools such as: Python, R, SAS, and Stata and can be easily exported to on-premise computing environments such as Farmshare / Sherlock, into cloud compute services like GCP, AWS, Azure, or downloaded for local analysis (usage rights permitting).

Date:
Thursday, February 12, 2026
Time:
2:00pm - 3:00pm
Time Zone:
Pacific Time - US & Canada (change)
Location:
Velma Denning Room (Green Library 120F)
Categories:
  Love Data Week  
Online:
This is an online event. Event URL will be sent via registration email.

Registration has closed.

Event Organizer

Jooyeon Hahm