---
# System prepended metadata

title: Reproducibility - Cross-Atlantic GIScience Meeting -  June - 2021
tags: [turingway, GIScience, Workshop, reproducibility]

---

Reproducibility - Cross-Atlantic GIScience Meeting -  June - 2021
===

###### tags: `turingway` `Workshop` `GIScience` `reproducibility`

:::info
Lead: Fernando Benitez-Paez

:books: **Resources and useful links:**
- **Cuckoo:** Useful to control the time in your meetings or your own work https://cuckoo.team/collabcafe 
- **HackMD:** https://hackmd.io/ Collaborative Markdown tool to create a shared guides
- **Markdown cheat-sheet:** https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
- **Emoji-cheat-sheet:** https://github.com/ikatyang/emoji-cheat-sheet#table-of-contents 
- **Turing Way:** https://the-turing-way.netlify.app/
- **Learn Git:** https://learngitbranching.js.org/
:::

:dart: Agenda
---


| Time  | Activity  |
| -------- | -------- |
| 5 Min    | Intro - Description of the Tools |
| 25 Min   | Brief Presentation |
| 15 Min| Activity in HackMD|
|10 Min | Disscusion and close up|

:wave: IceBreaker (3-5 mins)
---

*Please add your name on a new line below, and answer the icebreaker question:*

**:question: What is your top media recommendation of 2021 so far? (movie, TV, music, video game, book, podcast, whatever you like!)**

* Fernando Benitez | Thinking Fast and Slow by Daniel Kahneman 
* Jed | Not the hockey game i watched last night :(
* Solene Marion: Book The Invention of Nature: The Adventures of Alexander von Humboldt, the Lost Hero of Science
* Jack: Dune
* Vanessa | The Bold Type (Netflix Series)
* Urska: British Sewing Bee
* Mary: No suggestions!!!!
* Rhiannon: Starting Over - Chris Stapleton (Album) 
* Aranya: The Ezra Klein Show
* Corallie Hunt | Podcast - BBC Desert Island Discs with Helen McRory


:desktop_computer: Definition of Open and Reproducibility (4 min)
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*Please write your name and definition of "Open" & "Reproducibility" as it relates to data science on the sections below.*

**What is your definition of Open:**
    
* solene: Free
* Jack: plain language summaries :fire:
* Urska: free and available, plus finable and usable :mount_fuji: 
* Vanessa: Available, free and accessible
* Mary: Openly avialable for the public sult.
* Corallie: downloadable, open-source, free, maintained 
* Jed: freely downloadable to anyone via the WWW
* Aranya: something that is easily findable and accesible globally 
* Rhiannon: Something with no barriers to access (paywalls, institutional login etc)

**What is your definition of Reproducibility:**
 
* Urska: if someone takes my data and code they will get the same thing as i did. This is different from replicability, which is when someone makes the same experiment on another population and gets the same result :smiley_cat: 
* Jed: the combination of data, methodolody, and sequencing of computer commands necessary to completey recreate a given piece of analysis.
* Vanessa:enough and clear instructiosn and data so that someoen can fully reproduce your research from begining to results
* Mary: can be done again
* Aranya: Something that can is clear enough to be done again
* Rhiannon: Ability to follow methods and reproduce the same result 
* Same data, same calculations, same result
* Jack: standardized tools and formats

:warning: What are the Barriers to Reproducibility (4 min)
---

*Please write your top-one barrier to reproducibility as it relates to **spatial data science** on the line below.*

**Main Barriers to Reproducibility**

* Jed: Sensitive location data, dynamic code/tool bases, it is not 'easy' enough
* Beate: not sharing of data,limitation of computing power
* Corallie: opaque methods; data entry errors
* Urska: some data cannot be shared, e.g. health data tracking - anything that includes personal data from which people can be identified. how to ensure reproducibility in research that uses such data? :question:
* Include fake or made up data of the same format/characteristics
* Rhiannon: Bad code, unclear workflow, missing steps, not included with the paper. 


:handshake: Lets evaluate the reproducibility of our work (15 min)
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*Please include your name and one of your projects/repos/code and let others help you to identify how can be more reproducible on the line below.*

* Fernando Benitez | **MagGeo** | https://github.com/MagGeo/MagGeo-Annotation-Program

* Jed Long | wildlifeDI R Package | https://github.com/jedalong/wildlifeDI
* Urska: Mouse-Eye tracking paper in Plos One, has all data + code as supp info, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0181818, code is also here: https://github.com/udemsar/EyeMouseInteraction
* Vanessa: Cycling stratification from crowdsourced data paper in, code is available for replicability https://findingspress.org/article/10828-where-to-put-bike-counters-stratifying-bicycling-patterns-in-the-city-using-crowdsourced-data
* 

:closed_book: Close out, pluses and deltas (5 mins)
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Before you leave, please add a key take away, something you liked (a plus), and something you’d change (a delta) below.


### Pluses

* 
* 


### Deltas

* 
* 
* 










