This document discusses the benefits of open science over closed or proprietary approaches to data, software and publishing. It argues that open approaches remove barriers, allow for broader collaboration and participation, accelerate the progress of science, and avoid issues like redundant efforts, high costs and restrictions to access associated with closed models. Specific benefits mentioned include easier data sharing, reproducibility of results, more interdisciplinary research, and the development of better tools through an open and collaborative process.

1. Open
Source
Science
C. Gentemann
C. Holdgraf
R. Abernathey
D. Crichton
J. Colliander
E. J. Kearns
Y. Panda
R. P. Signell
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ChelleGentemann
https://agupubs.onlinelibrary.wiley.co
m/doi/full/10.1029/2020AV000354

2. Bring the data to you
Months to download
New version? Download again
Storage and maintenance costs
Discourages external collaborations
Reinforces institutional advantages
Data
2

3. Redundant efforts
Error prone
Impedes advancements
Difficult to share, version, etc.
Reinforces closed science
Closed
Software
3

4. Local
Infrastructure
Compiler-specific OS
Unique environment
Software restrictions
Reinforces institutional advantages
4

5. https://images.adsttc.com/media/images/5037/e348/28ba/0d59/9b00/0252/newsletter/stringio.jpg?1414230875
Restricts access to knowledge
Perpetuates exclusionary practices
Reinforces institutional advantages
Pay-wall
Publishing
5

6. Technology is increasing our
ability to build together
Remove barriers
Address identified needs
collaboratively
6

7. Collaborations
accelerate the
speed of science
and amplifies
impacts
Open project include more people
Better results
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8. 8

9. Data
https://www.dataquest.io/blog/design-tips-for-data-viz/
Cloud-based data
Easier to collaborate
Easier to reproduce and build on
Access not bandwidth-limited
More Interdisciplinary research
Broadens participation
9
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10. https://www.dataquest.io/blog/design-tips-for-data-viz/
Permissively licensed
Public on GitHub
Collaboratively built tools
More robust code
Source of increase in AI/ML
Speeds up science
Open Software
10

11. Open Cyberinfrastructure -
Science Data Platforms
Image credit: https://2i2c.org/
Platform agnostic, open
source infrastructure
solutions
Developed by the
community
Rapidly becoming default
for science
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12. A super computer behind every device
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13. Data
format dev
Hide the format dev
Bridges to data archives
Software
Make it easy to cite your software
Ask people to cite your software
Tools to easily cite software
Computation
How do we ensure access to cloud
computing for everyone?
How do we start to work effectively in
cross-disciplinary teams?
Asks
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14. 14
October 14, 2021
12:00pm - 3:00pm ET