Dewey

Dewey Data platform upgrade:  

The latest update introduces key enhancements to improve dataset discovery, collaboration, and customization. Users will now find improved navigation with nested supplementary files, smarter search across names and column metadata, and standardized dataset details—including DOIs and MARC metadata. Data filtering and export have also been upgraded, offering more precise controls, column removal, and row-based filtering. The updated Python client supports these features, with R support coming soon. More details can be found in the Dewey Community

Dewey is an academic research data platform for accessing third-party quantitative and geospatial datasets across various categories, including behavioral economics, corporate finance, marketing, real estate, public policy, urban planning, weather, and workforce management. Featured datasets include SafeGraph, Advan Research, and dataplor.

A full list of the data products available at NYU can be found at For the full list of data products available at NYU more information, please view Dewey Data Available at NYU.

Dewey Data Onboarding Webinar

1. Access to NYU’s subscription is available to current NYU faculty, students, and staff only.
2. NYU researchers may collaborate with researchers from other universities as co-authors, but cannot share the raw data with these individuals. These external collaborators must be active faculty or students of a university. Collaborators may not access or work with the raw data from Dewey unless they are covered under a separate Dewey agreement that includes equal or greater access to the shared data.
3. If NYU’s license to Dewey Data ends, users must delete any data downloaded from Dewey Data. However, data access may be extended if it is needed for a publication that was accepted for publication at the time the subscription ended or if required by a funder or open science mandate to retain the data (Dewey Data may request documented proof).
4. Users cannot compare/verify/evaluate Dewey’s data with other sources and publish those findings elsewhere.
5. Users cannot publish the data in raw form.