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. Author manuscript; available in PMC: 2020 Nov 27.
Published in final edited form as: Cell Syst. 2019 Oct 30;9(5):417–421. doi: 10.1016/j.cels.2019.09.011

Table 1.

The Major Components of the FAIRshake Toolkit

Feature Description URL
Search engine The FAIRshake search engine can be used to identify project, digital objects, rubric, and metrics. https://fairshake.cloud/
Open source code The FAIRshake project is open source and available from GitHub. https://github.com/MaayanLab/FAIRshake
Swagger API The FAIRshake API is documented in Swagger. https://fairshake.cloud/swagger/
YouTube tutorials There are several video tutorials on YouTube that describe how to use FAIRshake. https://www.youtube.com/watch?v=7u0c4-yzXgA&list
FAIR analytics Example FAIR analytics stats applied to AGR resources. https://fairshake.cloud/project/10/stats/
Jupyter notebook tutorial There is a Jupyter notebook tutorial that guides users on how to use FAIRshake programmatically. https://fairshake.cloud/documentation/
Bookmarklet Users can install a bookmarklet that enables FAIR evaluations of digital objects listed on any website. https://fairshake.cloud/bookmarklet/
Browser extension Users can install a browser that enables FAIR evaluations of digital objects listed on any website. https://fairshake.cloud/chrome_extension/