Hey all, if you could intro yourselves in the chat, that would be great!

Hi folks. Dale Allen with DXtera here. Can only stay for teh early part. Go team.

“Hi” - Kausar Samli (Learning Machine Technologies)

Hi All - This is Patrick Browder from SOLID

HI Folks. Rick Skeel with Ellucian and the PESC Board

hi all.

Hey all, This is Suria Venkat from National Student Clearinghouse.

Hi all! This is Chris St. Jeor from Zencos.

SPEEDE would probably be another example here. Rick would you agree?

Does Learner Record Index candidate for colloboration as well ?

possible suggestion: plug and play model for business interoperability

@suria - really good point. A Learner Record Index is definitely a data collaborative use case. It would be great if you and others could help surface LRI-specific challenges as part of the work of the group.

Also Does benefit lists assume that we will deal with de-identified user/learner/student information?

@Suria - I think that is a critical issue for guidance: for what data collaborative use cases are de-identified data essential vs not. I think we should generally assume that most data collaboratives will need to do their pooled analytics on de-identified data. This is especially true if you want to, for example, expand access to the data for more researchers.

@suria - I was wondering about this, too. Could one goal be that we have great access to data but that it maintains the privacy and security of learner-level data? Are those mutually exclusive or is it possible?

@Michael - would love to hear more about your ideas on plug-and-play model for business interoperability. What are you thinking?

@Matt, @Suria - Those calls for detailed use case deep dive, may be a sub-topic for later agenda.

Here’s the link for adding shared technical challenges: https://docs.google.com/spreadsheets/d/1QKhHGLYrro5FS93GkfwDxKEmDZQ_wGnvaILRt7Ci5WI/edit?usp=sharing

faster understanding of how the ecosystem works, a 'single point of contact', clear and available standards, common understanding on the value of data, and what data = faster, better business services

reference big data

Ah, really good points. Thanks @Michael

Most times, the only exceptions to student release are in emergencies and crimes! I don’t think we are heading toward those.

De-identification does not preserve privacy because it can usually be fairly easily re-identified. What about differential privacy and federated learning?

Tom Greene - Electronic Transcripts, which the SPEEDE Committee has long supported, is not an aggregated data colabortive. It is more a direct exchange from one entity to another. The individual schools maintain the data, but no one else.

@Rick - thanks, that is helpful

I fyou use federated learning, IRBs should be much more comfortable

enforcement and/or authority...always challenging

Here’s the T3 Slack link: https://bit.ly/2kAkG65

big question: how is the output of this group to be used, where, when, with whom

yes, great, thank you!

Thank you!

Thanks you!