Science researchers are recognizing the need for informatics as the breadth of observations keeps expanding, which provide novel ways of studying our surroundings. However it is very difficult for a researcher to be an expert in the variety of observations and data that are available to them. At the last decadal meeting of OceanObs, last year, data and information systems appeared as a theme for the first time, recognizing that informatics are an important part to doing effective research. ESIP is working on most of these concerns: data quality, standardization, analysis ready data, FAIR, data management, search and discovery, migrating to the cloud, etc. While most of these topics are presented at larger science meetings, like Fall AGU or EGU, it is still mostly informatic members attending and presenting at those sessions, while science researchers focus on attending science sessions. This session will summarize the informatic needs from the OceanObs’19 meeting and CEOS, along with the successes of the Data Help Desk at science meetings in addressing these challenges. The rest of the session will discuss how ESIP can better integrate its expertise into the science community.
Agenda:
“Summary of OceanObs’19 ‘Data Integration to User Products’ Breakout” by Jessica Hausman
“
CEOS Analysis Ready Data for the Oceans” by Ed Armstrong
“Insights from Engaging with Scientists at Data Help Desks during Scientific Meetings” by Megan Carter
"Ocean Hackweek" by Stace Beaulieu
Discussion moderated by Steve Diggs, Carolina Berys-Gonzalez, Karen Stocks and Stace Beaulieu
Slack channel
#informatics2scienceWorking area for breakouts
https://docs.google.com/presentation/d/1y41t9kEhF0KOQYpZ5X1EcAjIplQN_aKSLl4V8FljfmM/edit#slide=id.g865f88366f_0_0View Recording
View Session Notes
View Presentations: See attached,
https://doi.org/10.6084/m9.figshare.12724853.v1, and
https://doi.org/10.6084/m9.figshare.12827582.v1Takeaways- Teach data science to grad students and early career scientists as workshops whether as hacks or boot camps
- Show scientists how their research could be easier by bringing in informatics/data science (Chelle Gentemann's example in the plenary) and make sure to use language that scientists speak, not informatics jargon
- Provide a resource or hub that scientists can ask questions
