References: Data Pipeline Internals

1. Comma-separated values - Wikipedia - Covers CSV header conventions and field-delimiting rules, directly underlying this chapter's CSV Header and Pipe-Delimited Field sections.

2. JSON - Wikipedia - Explains JSON's object and array structure, the format this chapter's Node Record, Edge Record, Group Record, and Metadata Record sections all serialize into.

3. Serialization - Wikipedia - Defines serialization as converting in-memory data into a storable or transmittable format, directly underlying this chapter's JSON Serialization section.

4. Extract, transform, load - Wikipedia - Describes the general ETL pattern a data pipeline follows, the broader discipline this chapter's Data Pipeline and Data Transformation sections apply to CSV-to-JSON graph generation specifically.

5. Dublin Core - Wikipedia - Covers the metadata element set this chapter's Metadata Record, Version Metadata, and License Metadata sections apply to this project's own metadata.json file.

6. Software versioning - Wikipedia - Explains version-numbering conventions, background for this chapter's Version Metadata section.

7. Creative Commons license - Wikipedia - Explains the CC BY-NC-SA license type this project's own metadata.json uses, directly relevant to this chapter's License Metadata section.

8. Reproducibility - Wikipedia - Covers reproducibility as a general standard in research and engineering, the principle this chapter's Reproducible Generation section applies specifically to a learning-graph generation pipeline.

9. python: json — JSON encoder and decoder - Python Software Foundation - The official documentation for Python's json module, including json.dump(), the function this project's own csv-to-json.py calls to perform JSON Serialization.

10. python: csv — CSV File Reading and Writing - Python Software Foundation - The official documentation for Python's csv module, including csv.DictReader, the function this project's own pipeline scripts use to parse CSV Header and row data.