Written while embedded in our CRESCYNT Data Science for Coral Reefs workshops. Amazingly, everyone who participated in workshop 1 – Data Science for Coral Reefs: Data Rescue – learned even more than they thought they would. We’ve had wonderful NCEAS trainers, spectacular participants with amazing datasets, and a lot of hard work over 4 days (March 7-10, 2018).
UPDATE: Here is the Data Rescue workshop agenda we used, with links to all of the training slides.
In the second intensive workshop – Data Science for Coral Reefs: Data Integration and Team Science – people will be introduced to R Studio and GitHub if they have not used them before, and then we will work on exploring techniques for integrating disparate datasets. We’ll start with a pair of datasets at a time, and efforts may involve extracting data from one dataset based on observations from another; upscaling, downscaling, resampling, or summarizing to make intervals and scales mesh – exactly the kind of process that coral reef researchers have said is a recurring challenge in asking bigger science questions.
UPDATE: Here is the Data Integration and Team Science workshop agenda we used, with links to all of those training slides and exercises.
Each workshop group is writing a paper to summarize and share lessons learned, so please stay tuned for those!
We experimented with an unusual process for these workshops: two days of training followed by two days of workathon. We’re liking it! Tell us what you think about these topics and training materials. What other workshop outputs would you like to see?
>>>Go to the blog Masterpost or the CRESCYNT website or NSF EarthCube.<<<
Coral Reef Science & Cyberinfrastructure Network 