Through our Pilots, we are working directly with organizations to solve real problems managing data. In our Case Study series, we are highlighting projects and organisations who are working with the Frictionless Data specifications and tooling in interesting and innovative ways.
As a visual data exploration and analytics platform, Zegami makes the exploration of large collections of image rich information quick and simple.
Using good tables to improve quality of data to support fisher communities and advocacy groups.
Supporting state and local workforce boards in managing and publishing data.
Investigating the applicability of the Data Package concept to facilitate data reuse in the field of Computational Neuroscience.
Using Good Tables to validate metadata stored as part of an biological application on GitHub.
The Data Retriever is a package manager for data. It downloads, cleans, and stores publicly available data, so that analysts spend less time cleaning and managing data, and more time analyzing it.
Building standards for cell migration data in order to enable data sharing in the field.
Allow users to download a version of a data.world dataset that retains the structured metadata and schema for offline analysis
Turnkey data to data science, analytics and software teams in healthcare industry.
A way to share data and analysis, from simple charts to complex machine learning, with anyone in the world easily and for free.
A free-of-charge and open platform providing the data needed for power system analysis and modeling.
Tool Fund Grantee - GO