Session Recording Here
Data management planning is an integral initial step in the scientific process that has historically received secondary attention, leading to unprepared data providers, uninformed archives, and ultimately neglected data archival. The tide is turning across NOAA towards recognizing data planning to achieve enhanced, long-term data stewardship. This session is aimed for data practitioners across the spectrum of NOAA’s data holdings to highlight their success stories and lessons learned during the data planning process. This session also aims to demonstrate data planning best practices which facilitate meaningful metadata generation and archiving for future use. Case studies from both the NOAA Program Offices and project levels are encouraged.
Presentations (abstracts by session here):
1. The data planning journey that (hopefully) arrives at Data Packages and Metadata generation
- Ben Shorr, Robb Wright
2. Tools for Automation of Data Delivery, Integrity Checking And Visualization
- Roland Schweitzer, Joshua Osborne, Eugene Burger
3. Arctic Research Program (ARP) Data Landscape Assessment
- Cynthia Garcia-Eidell, Kelley Uhlig, David Allen, Sara Morris
4. Does NOAA Coral Cover Data Meet the “I” for Interoperability in FAIR guiding principles?
- Sarah O'Connor, Erica Towle
5. Migrating the Surface Underway Marine Database to AWS Cloud: Challenges and Lessons Learned
- Matt Grossi, Zhankun Wang, Yee Lau, Adedoja Adeyeye, Jennifer Bowers
6. End to End - Success Stories of Making Grant Funded Data More Accessible
- Adrienne Copeland, Anna Lienesch and Mashkoor Malik
7. The N2N ship-to-shore pathway for public access of NOAA OMAO datasets: Planning and Challenges
- Andrew J. Frambach, Joseph Gum, Toby Martin, Solomon Tadele
