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Computing Arctic data Workshop Summary
[2019-05-16 Thu]
- See list of participants below
Motivation
- Two recent effects:
- Spatial and temporal resolution of ice core data sets is increasing.
- More data sets available.
- Also want to use the older records.
- Cannot put in same time domain, same resolution.
- Need traceability of data.
- For later examination, changes, etc.
- For authorship, credit.
- Data provenance, version control, from raw data to final state
- Levels of data. Idea is similar to NASA levels.
Workshop discussions and findings
- How different ice core communities collect and document data from field to publications.
- Which software tools are used.
- to trace changes in the data from field to data center.
Goals
- Increase reproducibility of the research results by documenting all major steps from data collection to final conclusions.
- Increase usability of the ice core data sets for broader research community and a public
Action items
- Create a master list of ice cores based on
- https://en.wikipedia.org/wiki/List_of_ice_cores
- Ice Reader
- NSF ice core facility data base
- Data needs to stored independent of any specific group (government, business)
- Single access portal for data search and retrieval in a format suitable for the end user
- Create an ice core specific data-center submission process
- Create a community-driven Wiki http://wiki.icecoredata.org that will document ice core methods.
- Publish methods: ice core processings, sampling, measurements
- Recommended methods can be published in some journals.
- Those publications can be referenced from the above Wiki for easy finding by the community.
Technology and infrastructure
- Explore how to best align with EarthCube resources.
- Software should be GPL or Creative Commons
- Develop method for tracking dataset source, authorship, credit, changes.
- ADD LIST of participants/contributors