# Notes from Espresso Workshop
## Present
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## Notes
- Jon: It's easier to run things in a docker container in a cloud and someone can do it for me. But that's not how people are approaching distributed data. With centralized systems it's easy (Google logs into your phone automatically)
Bullet Points:
User Experience:
- Ease of use with onboarding for technically challenged people.
- How do you enforce/communicate trust and handle varying and variable levels of trust over time and relieve pressure on users to manage their data.
Interoperability
- Getting data out of non-solid systems and translating it to usable RDF.
- Inter-app data interoperability
Compute Requirements
- Low accessibility/Lack of resources (not everyone has compute resources to store their data)
Keeping Cached Data in sync
- How do you delete data and trust that people will delete data or update an obsolete copy?
Providence/Data Integrity
- Data Providence: How do we confirm that data is true?
- How do you build a system that let's people define thier own definition of trust?
- How do you enforce data integrity?