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This blog walks through an analysis of TenderAlpha's Green Government Contract Awards data using marimo, a reactive, open-source Python notebook that makes reproducible workflows easy. Check out the capabilities of this analytic tool while exploring the research possibilities of green score variables, complete with sample code, data visualizations, and inspiration for your use cases.

Example workflow analyzing unit-level price tracking and borough benchmarks with a ready-to-run Python script, looking at 2025 apartment rent prices in New York City.

Dewey is expanding its academic research platform with major new features, including a "Connect" section that gives university subscribers access to premium datasets from providers like Revelio Labs, Extract Alpha, and more. With AI-powered discovery, published work now surfaced alongside datasets, and new permissioning tools for librarians, Dewey is doubling down on its mission to make academic research faster and more seamless than ever.

From a three-line download to publication-ready visualizations, the ‘deweyr’ package streamlines working with Dewey data in R. Check out the example workflow below, and download the supplemental R script to get started with your data today!

Six years after SafeGraph opened their data to academics, over 720 published papers have cited their datasets across economics, public health, urban planning, finance, and more. This post explores that research footprint, what it tells other data providers about the long-term compounding value of academic access.

Learn how Dewey subscribers can connect directly to Dewey's full dataset catalog from inside their preferred AI tools (Claude, ChatGPT, Gemini) to find and qualify the data they need, fast.

DOIs help data providers turn academic citations into measurable brand visibility, credibility, and long-term impact.

Discover how Veraset Visit Data provides precise, ready-to-use location insights to support academic research across urban planning, public health, business, and more.

Dewey is proud to introduce Digital Object Identifiers (DOIs) for every dataset listed on our platform. These persistent, unique identifiers make datasets easier to cite, track, and discover in academic research, publications, and data catalogs.