This repository provides supporting code and data that was used in the paper: "Interoperability by Design for a Collectively Governed Datasphere: Challenges in Livestock Population Naming Conventions Analyzed Using a Graph Database Model"
This analysis was completed as part of my Fellowship with the Datasphere Initiative in 2021-2022. For information about the project, goals of the analysis, and methodology refer to the paper [FIXME add link to paper].
This project is built with Neo4j and Python.
To load the data in the graph database you must have Neo4j Desktop installed or create a Neo4j Aura instance.
Import the database by importing the database dump file into Neo4j Desktop or Neo4j Aura.
Use the tutorial available from Neo4j for instructions on how to import an existing database.
- Data was prepared using scripts in src/cleaningScripts
- Prepared data was loaded in the graph using src/loadData
- Raw data and/or API calls are available in the folders that are named according to dataset
- Prepared data is availale in data/inputData
Kassy Raymond - [email protected]
Thank you to Dr. Deborah Stacey for help with conceptualization of the Graph.