# Context The awesome datasets graph is a Neo4j graph database which catalogs and classifies datasets and data sources as scraped from the Awesome Public Datasets GitHub list. # Content We started with a simple list of links on the Awesome Public Datasets page. We now have a semantic graph database with 10 labels, five relationship types, nine property keys, and more than 400 nodes. All within 1MB of database footprint. All database operations are query driven using the powerful and flexible Cypher Graph Query Language. The download includes CSV files which were created as an interim step after scraping and wrangling the source. The download also includes a working Neo4j Graph Database. Login: neo4j | Password: demo. # Acknowledgements Data scraped from [Awesome Public Datasets][1] page. Prepared for the book [Data Science Solutions][2]. # Inspiration While we have done basic data wrangling and preparation, how can this graph prove useful for your data science workflow? Can we record our data science project decisions taken across workflow stages and how the data catalog (datasources, datasets, tools) use cases help in these decisions by achieving data science solutions strategies? [1]: https://github.com/caesar0301/awesome-public-datasets [2]: https://startupsci.com