FAIRshake
- Hybrid
- Dataset
- Any digital object
- Available
FAIRshake is a toolkit for community-defined FAIR metrics and rubrics, paired with manual and automated assessments of digital objects such as datasets, software tools, databases, APIs and workflows. Starting a project requires an account.
Use case: Assessing a registered digital object with a rubric chosen or defined by a community.
Open: FAIRshake (opens in a new tab) https://fairshake.cloud/
Facts
- Operator
- Ma'ayan Laboratory of Computational Systems Biology, Icahn School of Medicine at Mount Sinai
- Assessed objects
- Dataset, Any digital object
- Mode
- Hybrid
- Inputs
- None
- Frameworks
- Custom
- Output
- An assessment of the digital object against the metrics of a rubric, shown as an insignia and in analytics views.
- Source code
- https://github.com/MaayanLab/FAIRshake (opens in a new tab)
- License
- CC-BY-NC-SA-4.0
- Status
- Available
- API
- Available (opens in a new tab)
Last verified: