EVENTS
Tools for Data Science in Arctic Research (July 2017)
Dates: July 31 - Aug 1, 2017
Location: Santa Barbara, CA
Venue: NCEAS, 735 State St., Suite 300, UC Santa Barbara
The Arctic Data Center provides training in data science and data management, as these are critical skills for the stewardship of the data, software, and other research products that are preserved in the Arctic Data Center. A goal of the Arctic Data Center is to advance data archiving and promote reproducible science and data reuse. This 2-day workshop will provide researchers with an overview of best data management practices, data science tools and concrete steps and methods for more easily documenting and uploading their data to the Arctic Data Center.
Course overview
The Arctic Data Center conducts training in data science and management, both of which are critical skills for stewardship of data, software, and other products of research that are preserved at the Arctic Data Center.
Course topics will include:
- Arctic Data Center and NSF Standards and Policies
- Data Management Plans
- Effective data management for data preservation
- Storing and Preparing Data in Open Source Formats
- Stability, longevity, interoperability
- Metadata
- Publishing data at the Arctic Data Center
- Web-based submission
- Automating submission for large data sets
- Data and Metadata Quality
- Provenance for data and software
Agenda
| Day 1. | Day 2. | |
|---|---|---|
| 8:30-9:00 | Welcome and introductions | Writing Good Data Management Plans |
| 9:00-9:45 | Arctic Data Center and NSF Standards and Policies | Writing Good Data Management Plans |
| 9:45-10:00 | Break | Break |
| 10:00-12:00 | Effective data modeling and management | Data packaging and file hierarchies |
| Noon-1:15 | Lunch | Lunch |
| 1:15-2:15 | Authoring Quality metadata | Authoring large data sets |
| 2:15-2:30 | Break | Break |
| 2:30-4:30 | Authoring Quality metadata | Large data and Tracking data provenance |
| 4:30-5:00 | Question and Answer | Discussion |
Materials
Day 1
- Arctic Data Center and NSF Standards and Policies
- Effective data modeling and management
- Authoring Quality metadata
Day 2
- Writing Good Data Management Plans
- Programmatic access to the Arctic Data Center via DataONE API
- Data packaging and file hierarchies
- Authoring large data sets
- Tracking data provenance
Acknowledgements
Work on this package was supported by:
- NSF award #1546024 to M. B. Jones, S. Baker-Yeboah, A. Budden, J. Dozier, and M. Schildhauer
Additional support was provided for working group collaboration by the National Center for Ecological Analysis and Synthesis, a Center funded by the University of California, Santa Barbara, and the State of California.