Data Feed Requirements & Use
Enable innovation and reduce bureaucratic drag
Appropriately apportion risk, responsibility and accountability to actors
Data Provider Minimum Standards
Contribute only data that may be shared to facilitate public discovery
Agree that data may be used by other POD libraries for purposes such as research, testing, or development
Encouraged to provide data under permissive terms, with license (e.g., a CC0 waiver).
Data Consumers
Data in the lake is available to any POD participant to extract and reuse.
Participant must consume and reuse the data responsibly.
Contact originating library for uses outside minimum standards
POD to Production Planning (Data Lake NEXT)
MVP
Goal:
Infrastructure for transmitting and receiving MARC data from multiple institutions and serving it back out for external normalization, analysis, and discovery indexing.
Support receiving and transmitting both full dumps and delta change sets
Enable external normalization, analysis, and discovery indexing, and basic reporting and data reconciliation
Help POD refine and develop operational models for a service based on the MVP
Team
Product Owner: Mark Matienzo (Stanford)
Tech Lead: Chris Beer (Stanford)
Scrum Master: Jessie Keck (Stanford)
Developers:
Stanford: Chris Beer, Jessie Keck, Jack Reed, Camille Villa
Brown: Adam Bradley, Hector Correa, Birkin Diana, Justin Uhr
UX Design Consultant: Gary Geisler (Stanford)
Data Liaison/Wrangler: Bob Persing (Penn)
Workcycle #1: Oct 26 - Dec 11, 2020
Resulting Product: POD Aggregator Site