1. Contributing to the geoconnex.us knowledge graph#
At a very high level, contributing to the geoconnex.us knowledge graph involves three steps:
Publishing landing pages about each real-world feature of interest you have data about.
Embedding structured, linked data with rich descriptive information about the feature formatted as JSON-LD within each landing page
Minting persistent identifiers with the geoconnex.us GitHub repository
Additionally, we encourage those contributing data to the geoconnex.us knowledge graph to also consider contributing to the Network-Linked Data Index (NLDI), an open-source, USGS-hosted web service allowing data users to discover features of interest from contributed datasets based on “hydrologic” search (e.g. finding those features up/downstream mainstem rivers and tributaries from an arbitrary start point). Learn more about the NLDI here.
The other documents in this section of the guidebook provide detailed technical references to assist data publishers with understanding each of the above four contribution elements. In addition, we offer a “Quickstart” showing how to deploy purpose-built open-source software on a public cloud provider to quickly accomplish steps 1-3.