Open Data Archives

How We Built a National Hospital Dataset for Coronavirus Relief

By Simon Kassel on June 9th, 2020

We pulled data from disparate hospital data sources to create a comprehensive national dataset of the hospital system for the COVID-19 response, using geocoding, proximity matching, and fuzzy string matching.

Screenshot of labeled satellite imagery in Raster Vision.

Company

An Introduction to Satellite Imagery and Machine Learning

By Joe Morrison on November 5th, 2019

Today, the availability of satellite imagery still far outpaces our capacity to analyze it, but machine learning and tools like Raster Vision are helping.

Software Engineering

STAC: Creating an Ecosystem of SpatioTemporal Assets

By Niki LaGrone, James Santucci and Aaron Su on October 1st, 2019

STAC is creating an ecosystem of interoperable spatiotemporal assets. Learn how Azavea has contibuted and about future steps for the specification.

Software Engineering

Using the Dedupe Machine Learning Library for Cleaning and Matching Data

By Justin Walgran on August 30th, 2019

To deal with issues of apparel facility list data quality and scale quickly and efficiently we need a machine learning tool that can capture the knowledge of domain experts, find commonalities in jumbled text, and confidently compare large lists without the need to compare each individual entry.

OAR map overlaid on top of hands sewing a garment.

Software Engineering

Connecting Data and People with the Open Apparel Registry

By Deb Boyer on August 7th, 2019

Since its launch on March 28, the Open Apparel Registry (OAR) has grown to include over 18,300 facilities in 92 countries. We’ve already heard of a few fascinating use cases where data from the OAR contributed to decision making by brands and facilities.

Man in sweater riding electric scooter through streets.

Company

The Scooters Are Coming: Let’s Require Data This Time

By Robert Cheetham on July 10th, 2019

Open data and open standards can play a central role in providing safe, equitable, and efficient transportation for everyone. The scooters are coming. We should demand data this time.