We know all the standard mechanisms for integrating data systems with each other: standards, APIs, standards-based APIs, etc., etc., etc. But new possibilities are opening up due to new technologies and approaches: Jupyter, Eclipse Che, Everything-as-a-Service, Slack, JSON-LD... Do you have a novel integration mechanism you want more developers to adopt so we can hook more things together? Come to this session and talk it up!
Agenda:
- Dave Blodgett (USGS) - "Non information resource - Meta information resource - Data information resources: A resource model for integration of data from multiple organizations about the same real-world feature. Summary of the ongoing the Second Environmental Linked Features Interoperability Experiment (SELFIE)"
- Kevin O'Brien/Bob Simons (NOAA/PMEL) - Integrating Data with ERDDAP
- Namrata Malarout (NASA/JPL) - Centralized MAAP* API: Simplifying Algorithm Collaboration
- Daven Quinn (U. Wisconsin) - Sparrow: an in-house, interoperable data system for individual geochronology labs
*MAAP = Multi-mission Algorithm and Analysis Platform
Session recording here.
