The Open Referral Initiative develops data standards and open platforms that make it easy to share and find information about community resources. Learn more about the initiative at OpenReferral.org.
The Open Referral initiative defines two standards - the Human Services Data Specification and the Human Services Data API.
Human Services Data Specification defines a minimal set of data for publishing machine-readable directory information about health, human, and social services; their locations and accessibility details; and the organizations that provide them. Read the spec here.
The Human Services Data API specification builds upon HSDS.
A detailed FAQ about the project is found here, and additional information about the Open Referral Initiative is available at https://openreferral.org
The Human Services Data Specification and its documentation are licensed under the Creative Commons Attribution-ShareAlike (CC BY-SA) license.
We encourage you to use an open license for any data you publish using the specification.
Earlier versions were licensed under CC0.
Any change pushed to the master branch on GitHub will be built and pushed to http://docs.openreferral.org/en/latest/ automatically by ReadTheDocs. Build info is found at https://readthedocs.org/projects/openreferral/builds/
Other branches are not built automatically, but can be configured by admins of the 'openreferral' project on ReadTheDocs, on this page - https://readthedocs.org/projects/openreferral/versions/
This assumes a UNIX-based system with Python 3 installed.
You will need graphviz installed. For Ubuntu:
apt-get install graphviz libgraphviz-dev
Set up an environment and install Python dependencies into it:
python3 -m venv .ve
source .ve/bin/activate
pip install -r requirements.txt
Then pull in the submodule for the API documentation.
git submodule init
git submodule update
The update command should be re-run whenever there are updates to the api-specification repository.
To build the docs:
cd docs
make dirhtml
You can also use sphinx-autobuild to have an auto-refreshing local build.
pip install sphinx-autobuild
cd docs
sphinx-autobuild . _build
Examples are included with the documentation and these should match the current datapackage.json. To test:
pip install frictionless
python examples/make_datapackages.py
frictionless validate examples/all_resources/datapackage.json
frictionless validate examples/simple/datapackage.json
Everytime a new example csv is added or datapackage.json is changed, rerun:
python examples/make_datapackages.py
Everytime a new example directory is added, please add a line above and in .github/workflows/test_examples.yml.
These are built automatically from the schema by a GitHub action and checked in for you.
If you want to run the build process locally for any reason, look in the following shell files for help:
build_database_mysql.sh
build_database_postgresql.sh