Participants

Current Actions

Done: Lynnes - write up some text for Megan's newsletter
Done: Lynnes set up regular meeting with ESIP G2M, some time other than 4th Thursday
TBD - spin off a subgroup to work on use cases
Done: Lynnes/Newman - generate a sample export of EOSDIS knowledge graph
Done: Blythe - provide research_prov_model info on use of W3C Prov model

Use cases for connecting Data with Usage
- Best Practice Use Case: Which rainfall dataset is most often used for flood prediction?
- Impact Use Case: How many climate studies use TRMM 3B42 rainfall?
- Congruency Use Case: Do field data, airborne lidar, and satellite data match (MAAP)? Do data from sensors on the same satellite match (TerraFusion)?
Sample graphs
Any other business?
Agenda for next telecon…

Ed: interested in interdisciplinary, datasets used together WITHIN a given application
Mark: simple, single dataset use case + complex interdisciplinary use cases
Beth: dataset interconnections circles back to data transformations
Irina: validation requires MANY different datasets being used together, shows up in separate of research papers that focus on the application vs. those that focus on validation
J.B.: discovery / search process: present datasets relevant to their problem, e.g., homeowner types in more colloquial term, interpret what the user's real concern is
Adrienne (Axiom Data Science): how do we interact with users where they know what they are getting back; users expect fancy searches, but they need to be transparent (document how they got there) - show the graph!
B. Downs: combine with location of interest
JB: maybe too big a tech lift at this point?
Mark: location is relevant, sure, but how does it
Chris: dataset used Gulf of Maine, might be useful in Puget Sound
Mark: identify desired outcome

In addition to how many, what type of use cases
Beth: Take me to the articles about the data
Irina: Data providers want to know about applications of their data; ask them if they know how their data are being used
Bob: What other data were used in conjunction with the datasets in a given climate study
JB: datasets commonly used together (Mark: closer to Beth's use case variant)
JB: IMPACT might be a roll up of lots of datasets
Mark: may want to contrast similar instrument, different algorithms, (Chris: or different platforms)
Ed: roll up by Societal Benefit Area

Irina, Beth more graphs, how to make them
Adrienne: User story, aiming to create at the end
Ed: Using graphs for discovery, esp. related datasets, practical examples
Mark: Take one of these use cases, work a user story end to end to see what the graph looks like, including the tools
Bob: examples of graphs, something about the process we are going through, getting from here to there
Megan: Session proposal, ESIP Collaboration Slide