Warning
This documentation is under active development and might be changing. Check out our Github to see the latest changes.
This is the documentation for the data standards for environmental surveillance, developed by the Data Science Innovation Hub at ARTPARK at the Indian Institute of Science.
The aim is to create a set of data standards, along the lines of FHIR HL7 that are fast to adopt, interoperable, and can be scaled to any kind of disease while allowing extensibility for any user's specific use-case.
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
Data Standards for Environmental Surveillance dses was created with cookiecutter and the py-pkgs-cookiecutter template. The documentation is rendered using sphinx and hosted on readthedocs.io, and uses poetry to manage dependencies in the rendering scripts.