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11:10a Welcome - Tim Quinn - Office of Enterprise Information Chief [PDF]
Tim Quinn: Internet of Things presentation at Amazon Cloud Workshop - Presenter took USGS ideas and applied them to Indonesia and their problems with monsoon and high water issues inundating the city. Took earthquake early warning people have done. Sensor based system. Implemented it via Amazon Cloud. Harvesting tweets that we use for earthquakes except harvesting them for flooding. Got ideas from USGS but implemented them in the Cloud.
11:15a Working Group Announcements [PDF]
Additional Announcements
Model archiving discussion
Happy coincidence that modeling was part of the Workshop theme
Discussion was pretty active, if inconclusive, during the Workshop
good start tho!
Cross Working Group topic:
definitely DMWG
possibly also SWWG
Very interested in finding others
TSWG will host a series of talks that will hopefully result in some consensus building.
WMA has “first generation” protocols, with differing levels of sophistication across their disciplines. Groundwater is in the lead and will hopefully present on their motivations, concepts, and tech choices
CSS’s Biogeographical Characterization Branch will (hopefully) present on their experiments using the DataOne Prov for describing data provenance
Semantic Meta-modeling follow-on
Number of related academic groups, we’re looking at which is the best starting point for us
Earth System Documentation for models, based on the Common Information Model
CSDMS (Community Surface Dynamics Modeling System)
Others
Develop lists or use cases around CDI member needs, Agency policy (FSP, publications, etc.)
Definitely do not want to reinvent anything. Big, complicated, common problem. There are already some folks working on or around this issue w/in USGS, as well as beyond. Purpose is to:
educate ourselves a bit
Develop thinking about our special needs
Think about increasing impact of modeling-based science produced by CDI members
help guide policy & protocol development around this type of scientific information content.
Earth-Science Themes Working Group
Co-sponsored an additional session of talks on National Geospatial Data Development
In addition to bringing national data set producers together
Proposed to develop more active method for making COPs aware of ongoing work (avoiding redundancy!)
Sharing methods is a big deal (accumulation of land surface characteristics downslope is a big example)
ETWG: although not present for the workshop, advertised the
BioInformatics Focus Group, which is really active
ICEMM (pronunciation): originally (and still) a Federal interagency group.
~15 years old. Moving into CDI’s wiki space.
Has own governance and internal structure of WGS
Got lots of friendly feedback from them in preparing, would like to develop relationships on this. Really more than ETWG scope here.
Hoping they might have opinions on model archiving
ETWG had a series of topical talks focusing on the “river corridor”
Powell Center project chief
Ecosystems MA presented on Ecological Flows initiative, as well as Drought
Leveraging 3DEP lidar for extraction of features and landscape characterization
Examples include floodplain mapping, near-stream canopy height and biomass estimation
NAWQA presenter: soils data and riparian zone mapping from USFS
Been a fair bit of email chatter amongst speakers, trying to push things into the wiki for wider audience. Should try to line up talks, but haven’t had time just yet.
Really tried to drive home that adapting style of work, culture to be more open is key. Not necessarily hard, but requires a somewhat conscious effort to change long-established patterns.
11:25a 2017 CDI Workshop Debrief - Charting a Course toward Integrated Science - Leslie Hsu, USGS
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12:30p Adjourn
Slido Questions and Polls [xlsx]
Viv: A couple questions on slido about exceeding the capacity of SB (large datasets). We are working on that as the SB team. We are partnering with ARC about thinking about how to get data produced on Yeti released. Also, partnering with EROS to see if we can use some of their servers for larger datasets. Has anyone used any creative solutions to bridge our current gap?
Stephanie Galvan: CDI Funded Data At Risk project has a featured story on Bathythermographs: https://www.usgs.gov/news/usgs-bridging-generations-wwii-technology.
Marcia: It's a really interesting story!
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