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<h1>a reproducible paper</h1>
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<td>Adina Wagner</td>
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<small>Psychoinformatics lab, Jülich Research Center<br>
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## A reproducible paper?
*Reproducible*, as defined first by Claebout & Karrenbach (1992):
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> Authors provide all the necessary **data** and the **computer codes**
to run the analysis again, re-creating the results.
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My talk is a demonstration of
<a href=https://github.com/psychoinformatics-de/paper-remodnav
target="_blank">https://github.com/psychoinformatics-de/paper-remodnav</a>, a reproducible paper,
and its advantages.
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## What are the advantages?
![](../pics/noun_benefit.svg)<!-- .element: width="250" -->
<imgcredit>benefit by alvianwijaya from the Noun Project</imgcredit>
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Anything inside this tag is put into the speaker notes.
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## Increasing trust in results and paper
![](../pics/trust.svg)<!-- .element: width="250" -->
<imgcredit>trusted by H Alberto Gongora from the Noun Project</imgcredit>
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- anecdote on hand-copy-paste
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## A more convincing case with my research
![](../pics/data.svg)<!-- .element: width="250" -->
<imgcredit>Data by Yamini Ahluwalia from the Noun Project</imgcredit>
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- maybe screenshot of reviewer rebuttal?
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## Easy collaboration
![](../pics/noun_collaboration.svg)<!-- .element: width="250" -->
<imgcredit>collaboration by Creative Stall from the Noun Project</imgcredit>
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- show a Git log here
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## Saving time
![](../pics/time.svg)<!-- .element: width="250" -->
<imgcredit>counterclockwise by Sara Jeffries from the Noun Project</imgcredit>
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- demonstrate the anekdote about a parameter change and data update
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<h2>"How can I find out more?"</h2>
<a href="http://handbook.datalad.org/en/latest/" target="_blank"><img data-src="../pics/logo.svg"></a>
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<a href="http://handbook.datalad.org" target="_blank">handbook.datalad.org</a>
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## The DataLad handbook
- Written by Laura, Michael, and me
- Starts with all the basic building blocks for using and mastering DataLad,
and covers domain-specific use-cases in the later parts - for example a
detailed set of instructions for a <a href="http://handbook.datalad.org/en/latest/usecases/reproducible-paper.html" target="_blank">reproducible paper</a>.</li>
- It lives and grows on Github: <a href="https://github.com/datalad-handbook/book" target="_blank">https://github.com/datalad-handbook/book</a>
- It is work-in-progress, and **your contributions are welcome**!
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## Your contributions are welcome!
- **Bug reports** or **feature requests**: Something does not work?
Some content is yet missing? Please tell us by opening an **issue**.
![](../pics/issue.png)
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## Your contributions are welcome!
- **Typo fixes**, or any other **content** contributions: Do a **pull request**, and
become a contributor! From fixed typos you found to full sections or use-cases.
![](../pics/PR.png)
- Hint: Do it for this year's <a href="https://hacktoberfest.digitalocean.com/" target="_blank"> Hacktoberfest</a> and get a geeky T-Shirt ;-)
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## The near future
- DataLad is already installed on the cluster (<tt>brainbfast</tt> for now)
- There will be opt-in DataLad teaching: Bi-weekly support sessions on Thu
afternoons for exchange, demonstrations, and trouble-shooting starting in October
- The book is the basis, and a standalone resource for everyone to read and learn with
- General DataLad questions should be posted to <a href="http://neurostars.org" target="_blank">neurostars.org</a>,
there will be a dedicated place to collect information for INM7-specifics
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# Questions?
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