Title
Showcasing open data with run-anywhere open examples
Host and Affiliation
Vijay Iyer & Bradley Horton, MathWorks
Contact Details
vijayi@mathworks.com
Short description and the goals for the session
Increasing interests in (and requirements for) making scientific data publicly available has driven the launch and growth of a range of scientific data repositories with various storage back-ends, often cloud-based. This proposed emergent session is about the front-end: how can sharers of open datasets best showcase what's in their datasets, so their contemporary and future colleagues can appreciate, understand, re-analyze, and even potentially reach new insights and discoveries from their hard-won data? The host(s) believe that open examples -- publicly viewable and runable computational notebooks with code & text that accesses, explains, and uses the open data -- are a/the key ingredient to drive more engagement with and scientfic advances from open datasets. This session will get into the nitty gritty of puzzles, emerging best practices, and other considerations for producing and disseminating such open examples, such as how remote data is best accessed, data subsetting, cloud & containerized example sandboxes, and more.
Useful links
Exemplars of example-enriched open scientific data repositories
Resources for example-enriched open scientific data repositories
Relevant GitHub Users
@likeajumprope @ehennestad @AzeezatA @john0doh @satra
Which time slots work for you? (Please select all that apply.)
ses1-6/25 (Wed.) 9:15-10:15, ses4-6/26 (Thu.) 9:15-10:15, ses6-6/27 (Fri.) 9:15-10:15, ses7-6/27 (Fri.) 11:30-12:30; ses8-6/28 (Sat.) 9:15-10:15
Sessions 6 & 7 (bold) are top choices of host(s)
Recording and streaming volunteer
No response
Agreement to Code of Conduct
Agreement to Recording and Disemmination
Agreement to be inclued in the proceedings
Title
Showcasing open data with run-anywhere open examples
Host and Affiliation
Vijay Iyer & Bradley Horton, MathWorks
Contact Details
vijayi@mathworks.com
Short description and the goals for the session
Increasing interests in (and requirements for) making scientific data publicly available has driven the launch and growth of a range of scientific data repositories with various storage back-ends, often cloud-based. This proposed emergent session is about the front-end: how can sharers of open datasets best showcase what's in their datasets, so their contemporary and future colleagues can appreciate, understand, re-analyze, and even potentially reach new insights and discoveries from their hard-won data? The host(s) believe that open examples -- publicly viewable and runable computational notebooks with code & text that accesses, explains, and uses the open data -- are a/the key ingredient to drive more engagement with and scientfic advances from open datasets. This session will get into the nitty gritty of puzzles, emerging best practices, and other considerations for producing and disseminating such open examples, such as how remote data is best accessed, data subsetting, cloud & containerized example sandboxes, and more.
Useful links
Exemplars of example-enriched open scientific data repositories
Resources for example-enriched open scientific data repositories
Relevant GitHub Users
@likeajumprope @ehennestad @AzeezatA @john0doh @satra
Which time slots work for you? (Please select all that apply.)
ses1-6/25 (Wed.) 9:15-10:15, ses4-6/26 (Thu.) 9:15-10:15, ses6-6/27 (Fri.) 9:15-10:15, ses7-6/27 (Fri.) 11:30-12:30; ses8-6/28 (Sat.) 9:15-10:15
Sessions 6 & 7 (bold) are top choices of host(s)
Recording and streaming volunteer
No response
Agreement to Code of Conduct
Agreement to Recording and Disemmination
Agreement to be inclued in the proceedings