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47 changes: 46 additions & 1 deletion introduction.md
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Expand Up @@ -43,9 +43,54 @@ A fair strategy to follow is to gradually incorporate good practices in scientif
- Keep track of changes, and
- Manuscript writing.

But before incorporating any new practice, first, we can evaluate the **processes** we are following. A process-centred approach helps us remove the focus on human error, be aware that processes can fail people with good intentions, and accept that we can enter a continuous improvement cycle.

> "By defining the process, we can begin to borrow from the rich field of operations,
which focuses primarily on (the) process. One paradigm that proves especially useful is
the concept of human error. The seminal book
_The Field Guide to Understanding Human Error_
argues for a paradigm shift from the “Old World View” (that
when an error occurs it is an individual actor’s fault) to the “New World View”
(that when an error occurs, it is a symptom of a flawed system that failed that
individual actor) (Dekker 2014). When an error in an analysis occurs, it is safe
to assume (aside from nefarious actors) that the analyst did not want that error
to occur. Given that she thought she was producing an analysis free from errors,
you must look at the way she developed the analysis to understand where the
error occurred, and create safeguards so that the error does not occur again." ([Parker, 2017a](https://sachsmc.github.io/rpackage-workshop/opinionated-analysis-dev.pdf) and [Parker, 2017b](https://posit.co/resources/videos/opinionated-analysis-development/))

Repetitive events (like outbreak response and research data analysis projects) give us the opportunity to:

- Focus on the **process** we have followed,
- Evaluate **where** bottlenecks occur, and then
- **Adopt** new practices to be better protected against errors in the next iteration.

::::::::::::::::: callout

### Deming Cycle

This approach aims to follow a [Deming cycle](https://www.lean.org/lexicon-terms/pdca/) of Plan, Do, Check, and Act, as a foundation for continuous improvement.

:::::::::::::::::::::::::

::::::::::::::::: discussion

Exercise: Your experience analyzing outbreak data (the latest... or the most chaotic!)

Take 5 minutes.

Reflect on these questions:

- How do you **organize** your files and folders?
- Where do you **describe** what your project does or how to use it? Was it all in one accessible place?
- Could your project be **reused** by colleagues? Do you think it is?

Share one idea from your neighbour.

::::::::::::::::::::::::::::

## How can we start?

Our plan for this workshop is to prioritize three tools, given their usefulness once mastered and the time to master them:
Our plan for this workshop is to prioritize three tools, given their [usefulness once mastered and the time to master them](https://teachtogether.tech/en/index.html#s:motivation-authentic):

- Use research compendium templates.
- Make reproducible analysis.
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2 changes: 1 addition & 1 deletion md5sum.txt
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"episodes/readmefile.Rmd" "3cc0212d4220e050446c4ebc49bf83f6" "site/built/readmefile.md" "2023-11-21"
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