Usage-based Data Discovery - Episode 2

Participants

• Chris Lynnes
• Joe Lee
• Irina Gerasimov
• Adrienne Canino
• Megan Carter
• Ed Armstrong
• Mark Parsons
• Bob Downs
• Beth Huffer
• Jonathan Blythe
• Doug Newman
• Steve Olding

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

Agenda

• 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…

Notes

• Use Cases: Participating: Bob, Jonathon, Beth, Ed

Best Practice Use Case

• 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

IMPACT Use Case

• 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

Next Agenda

• 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