This page covers the backlog for openIDL.
| # | Item | Description |
|---|---|---|
| Extraction pattern - tech | What is the tech for the extraction pattern? map/reduce, optimized for scale, GraphQL or others? | |
| How to assert data integrity | How to assert data integrity? A checksum after record is locked & written to the chain, store the acknowledgement from the HLF to a control DB and map it to a record set etc. | |
| How to assert data quality | How to run technical and business validation on data and certify the data? | |
| Data quality error threshold | Current practice allows for an error rate of up to 5%. Allow? If allowed, how to design & implement | |
| Reference data validation | Where to host reference data service? Within member's enterprise or within node? Must be applied before extraction (tenet) | |
| Reference data lookup services/APIs | Which APIs to look up? For example, USPS state/zip validation, Carfax etc. | |
| Reference data lookup services/APIs - pricing model | Who pays (assumption - whoever owns the data pays), and how to charge the consumers (via assigned accounts, via centralized billing account prorated to consumption etc.). Who signs the vendor contracts | |