Data Management Course with Arctic Data Center
Calling all Arctic researchers with a solid foundation programming experience! We extended the application deadline for the following course:
The Arctic Data Center has applications open for our upcoming in-person workshop “Scalable and Computationally Reproducible Approaches to Arctic Research” which will be taught in-person at the National Center for Ecological Analysis and Synthesis (NCEAS) in Santa Barbara, CA from March 25th, 2024 until March 29th, 2024. This 5-day in-person workshop will provide researchers with an introduction to advanced topics in computationally reproducible research in python, including software and techniques for working with very large datasets. This includes working in cloud computing environments, docker containers, and parallel processing using tools like parsl and dask. The workshop will also cover concrete methods for documenting and uploading data to the Arctic Data Center, advanced approaches to tracking data provenance, responsible research and data management practices including data sovereignty and the CARE principles, and ethical concerns with data-intensive modeling and analysis. Apply by January 5, 2024!
A few things to expect:
- Scalable computing
- Parallel processing and concurrency
- Large data transfer, data staging
- I/O efficiency and more!
Link to application: https://forms.gle/ehnjVauqRqWpjss17
If you need support for the course (airfare, travel, and/or lodging), you can submit it in the form.
Don’t miss this opportunity to enhance your data science skills! This course is intended for those who need to take their skills to the next level to maximize efficiency working with big datasets or running computing-intensive processes. If you feel this is you, apply now to secure your spot! If you have any questions, please do not hesitate to reach out.