| Autor: |
Clark, S. Jeanette, Jones, Matthew B., Csik, Samantha, García, Carmen Galaz, Mecum, Bryce, Haycock-Chavez, Natasha, Virlar-Knight, Daphne, Cohen, Juliet, Liljedahl, Anna |
| Rok vydání: |
2023 |
| Předmět: |
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| DOI: |
10.18739/a2qf8jm2v |
| Popis: |
This course curriculum is one of three that offered by the Arctic Data Center, covering fundamentals of open data sharing, reproducible research, ethical data use and reuse, and scalable computing for reusing large data sets. This 5-day in-person course provides 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 also covers 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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