Chapter 4 Better science in less time
Better science is less time is science that is more efficient, reproducible, open, inclusive, and kind. There are growing examples of better science in less time in environmental and Earth science, and beyond. Here are a few examples to showcase what is possible and being done by the community.
Slides that have been presented during Champions Program Cohort Calls:
Here we also introduce the Pathway document that teams will develop throughout the Champions program. The Pathway is based on Table 1 in Lowndes et al. 2017, and helps teams deliberately identify data workflow practices and next steps to facilitate efficiency and open culture in terms of reproduciblity, collaboration, communication, and culture.
4.1 Ocean Health Index: behind the scenes
Some key points to discuss from Lowndes et al. 2017, Nature Ecology & Evolution: Our path to better science in less time using open data science tools:
- Reproducibility & communication enabled by open tooling
- Shared practices are useful beyond shared projects
If you’re interested in more overview of the OHI setup, see this 2017 talk (25 mins): OHI Better science in less time
4.1.1 OHI pathway
- Motivated by necessity
- Reimagined by possibility and community
- Done incrementally!
- Yes: it’s an investment.
- Also yes: huge, enduring payoff for (your) science
4.1.2 Reproducibility & communication enabled by open tooling
RMarkdown to reimagine data analysis and communication. RMarkdown combines analyses & figures together, rendered to your reporting output of choice.
An example: http://ohi-science.org/betterscienceinlesstime/
- Website built with R/RMarkdown & Github
- You can get started too: (1-hour tutorial)
4.2 Examples in the wild: environmental science
- Regime Shifts in R & Data Science within the BC Public Service Observations from the field - Stephanie Hazlitt, Government of British Columbia, slides from CascadiaRconf keynote
- NMFSReports: Easily write NOAA reports and tech memos in R Markdown! - Emily Markowitz, NOAA Alaska Fisheries Science Center, slides from CascadiaRconf talk
- Automated reporting in Tampa Bay with open science - Marcus Beck, Tampa Bay Estuary Program, Openscapes blog
- TBEP’s Data Management Workflow and open science cake
4.3 Further resources
4.3.1 Not so standard deviation podcast
4.3.2 Practical computing for biologists
Haddock & Dunn
Software & computing concepts already on your computer
Chapter 2: Regular expressions