Specifications for HUD HMIS Point In Time count app support - servinglynk/hslynk-open-source-docs GitHub Wiki
Minimum viable app support features required
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Full-refresh upload of data set from app, on behalf of a specific PIT count client community/CoC.
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Data warehouse access to uploaded data
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Accommodate additional PIT data elements which are not within the HMIS Data Standard APIs, using one of two approaches already implemented:
- Relational: population of all required data elements into existing or additional relational schemas (implemented in HSLynk as PostgreSQL schema)
- Custom survey questions can be stored in the survey APIs, which store question and response and can optionally map to HUD HMIS data elements.
- Graph/Data Lake: single, full refresh upload support
- Relational: population of all required data elements into existing or additional relational schemas (implemented in HSLynk as PostgreSQL schema)
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Trusted App registration and OAuth2 authentication
Potential app support features
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incremental record uploads by PIT app
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editing previously uploaded records, from the PIT app
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canned PIT real-time dashboards from the warehouse
Question: Do all PIT data collection implementations use anonymous clientele, or are obfuscated or identified client records ever used?