Kellogg Data Hosting#
Kellogg Data Hosting (KDH) is the collection of data platforms through which Kellogg Research Support provides access to licensed research datasets. It encompasses four platforms:
WRDS (Wharton Research Data Services) — A web-based platform providing access to financial, economic, and marketing datasets (CRSP, Compustat, Execucomp, and many others). Kellogg’s site license lets all faculty, PhD students, and approved researchers create their own WRDS account and connect programmatically from KLC or their own computer.
Amazon Athena (AWS) — A serverless SQL query platform hosting large-scale Kellogg-licensed datasets, including data previously stored in the on-premise Kellogg Data Center. Access is through the AWS console or from KLC with Python and awswrangler; R and Stata workflows read query output saved on the cluster.
Redivis — A browser-based data platform operated by Kellogg Research Support and Northwestern University Libraries. Redivis lets researchers discover, query, and analyze curated datasets directly in their browser, with no software installation required. It also supports programmatic access via API from KLC.
Datasets on KLC — Licensed datasets stored as files on the Kellogg Linux Cluster under /kellogg/data/. Access requires a KLC account and dataset-specific approval from Kellogg Research Support.
To request access to a dataset, contact rs@kellogg.northwestern.edu . For WRDS, you can register directly using your Northwestern email.
Note
For an exhaustive list of datasets available to Kellogg researchers, see the Kellogg Research Support Datasets page .
Finding Data by Platform#
Not all datasets are available on every platform. For the exhaustive Kellogg catalog, see the Kellogg Research Support Datasets page .
Method |
Platform |
Best For |
|---|---|---|
WRDS |
Ad-hoc queries, small downloads, browsing available datasets |
|
WRDS |
Integrating WRDS data into Python or R workflows on the cluster |
|
Athena |
Exploring Athena data, running ad-hoc SQL queries |
|
Athena |
Python queries with awswrangler; R and Stata read the saved query output |
|
Redivis |
Browser-based discovery, querying, and analysis without local software |
|
Datasets on KLC |
Large files on shared cluster storage, integrated into KLC batch and interactive workflows |