Foundational Open Science Skills

Date: 2023-01-14 PAG 30

Presenter: Tyson Swetnam

Source: https://www.whitehouse.gov/ostp/news-updates/2022/08/25/ostp-issues-guidance-to-make-federally-funded-research-freely-available-without-delay/

Source: https://www.whitehouse.gov/wp-content/uploads/2022/08/08-2022-OSTP-Public-Access-Memo.pdf

Source: https://www.whitehouse.gov/ostp/news-updates/2023/01/11/fact-sheet-biden-harris-administration-announces-new-actions-to-advance-open-and-equitable-research/

2023 - Federal Year of Open Science Initiative

January 18th Webinar: https://www.healthra.org/events/evo-webinar-the-2023-federal-year-of-open-science-initiative-with-nih-nsf-and-nasa/

Source Images: NASA TOPS, National Institutes of Health, National Science Foundation

Image Source: https://geekifyinc.com/product/hitchhikers-guide-to-the-galaxy-tablet-ereader-cover/

We focus on the problems tomorrow’s data scientists have today

Which Foundational Open Science Skills are most important?

Source Images: https://www.go-fair.org/, https://www.gida-global.org/care, https://opensource.org/, https://www.openaccess.io/, Irma Harlan

Source: https://foss.cyverse.org/

What do they get with git?

• Reproducibility of Code & Documentation
• Leverage Analysis Ready Data
• Basics of Cloud Native Science

Image Source: https://www.gida-global.org/care

• FAIR ≠ CARE
• How FAIR is fair enough?
• What about HIPAA, ITAR, IRB, etc?

Project Management of Collaborative Teams

Source: Wikimedia, Sahneh & Balk et al. https://doi.org/10.1371/journal.pcbi.1008879

• Productivity (GitHub, Jira, Kanban, etc)
• Emphasis on Team Science

Project Governance

Source: https://doi.org/10.5281/zenodo.3839120

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Ethics

Source: https://doi.org/10.1038/s42256-022-00465-9

Nothing about us without us

Ethics of working with data

• Geolocation (survey, land ownership)
• Personal identification information
• Health information
• Protected and Endangered Species
• Indigenous data sovereignty
• Artificial intelligence/machine learning

Image Source: UK Statistics Authority

Create & Maintain Documentation

Narrowing the digital divide

Problem: Elite, prestigious, privileged research institutions (who can afford to build CI and pay for Commercial Cloud) are inadvertently creating “data fortresses” within their own academic settings, widening the digital divide.

Solution: Focus on creating open-source platforms increasing CI accessibility and inclusion, and to train others in their use

Ryan Abernathey’s recent PANGEO talk at OpenOceanCloud: https://vimeo.com/670782104

https://doi.org/10.1109/MCSE.2021.3059437

Data Proximate Computing

Dynamic Elastic scaling

Analysis Ready Data

Dr. Michael Culshaw-Maurer, University of Arizona

Employed ½ The Carpentries

Expanded training @ UArizona Data Science Institute

Jason J. Williams, Cold Spring Harbor Laboratory

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What Works in Workshops – Evolving Short-format Training to Serve Life Sciences STEM Professionals in the 21st Century

https://www.cshl.edu/jason-williams-wins-nsf-2026-idea-machine-competition/

Building Inclusive Communities

Building Inclusive Communities

• Training has had a long evolution in CyVerse to meet changing user needs, and to cover several audiences.

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• Internet is saturated with learning materials, but relationships (colleagues you know, respect, trust) help differentiate information from noise.

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• Needs continue to evolve beyond fundamental data skills - the future includes: FAIR data management, Reproducibility, AI/ML, other open science capabilities.

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Source: https://tyson-swetnam.github.io/awesome-open-science/

Thanks for your time!

DBI-0735191, DBI-1265383, DBI-1743442 and OAC-1664172