Data & Donuts

Open Science that’s ‘Good Enough’

2024-04-19

Today’s Presenters

Prof. Shannon Quinn

School of Computing

Prof. Kyle Johnsen

Engineering

Dr. Katherine Ireland

Research and Computational Data Management

Dr. Camila Lívio

Research and Computational Data Management

Today’s Schedule (tentative)

• 8:15: Registration ☕️ 🍩
• 8:30: Welcome & Introduction <– You are here
• 8:45: Basics of Reproducible Research (Shannon)
• 9:45: BREAK ☕️ 🍩
• 9:55: BYO Project Walkthrough (Kyle)
• 10:40: BREAK ☕️ 🍩
• 10:45: Data Management (Katherine, Camila)
• 11:20: Wrap up

What is Open Science?

Open Science is the movement to make all scientific data, methods, and materials accessible to all levels of society.

Examples of Open Science in practice

DOI

Ask for some examples, if anyone is familiar (or can extrapolate from the previous slide)

Open Science Themes

1. Open data

2. Open source

3. Open methods

4. Open review

5. Open access

6. Open education

1. Open data
   • Archived in a data repository (Zenodo)
   • Permalinked (DOI)
   • Associated metadata
   • Documentation for preprocessing

1. Open source

1. Open methods

1. Open review

1. Open access

1. Open education

1. Open data

2. Open source
   • Public-facing, version-controlled repository (GitHub, GitLab, BitBucket, forgejo, gitea)
   • License, README, documentation, testing

3. Open methods

4. Open review

5. Open access

6. Open education

1. Open data

2. Open source

3. Open methods
   • Proofs
   • Prepackaged examples (VMs or containers)
   • Serialized models (HuggingFace)
   • Preregistration (OSF)

4. Open review

5. Open access

6. Open education

1. Open data

2. Open source

3. Open methods

4. Open review
   • Double-open review (JOSS, JOSE, pyOpenSci, rOpenSci, OpenReview)
   • Manuscripts as repos, Reviews as tickets

1. Open access

1. Open education

1. Open data

2. Open source

3. Open methods

4. Open review

5. Open access
   • Preprints (arXiv)
   • Open access publication venues (eLife)

6. Open education

1. Open data

2. Open source

3. Open methods

4. Open review

5. Open access

6. Open education
   • Open Science will generate a lot of artifacts; bring those into the classroom!
   • Put materials on a public-facing repo (GitHub)
   • Review course materials like a manuscript (JOSE)
   • The Carpentries, OSF
   • Workshops just like this one
   • Your university library!

Open Science is HUGE

Today, we’ll focus on a small slice:

How to get started from zero with reproducible and open research that’s good enough

(and: where to go to learn more)