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Copy file name to clipboardExpand all lines: content_development/MAIN.md
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-[Collaborating through Open Source](#Collaborating)
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-[Where to go from here](#Future_OSS)
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[IDEA: ONCE TEXT IS COMPLETE; CREATE AUDIO RECORDING FOR ALL OF THIS FOR EACH MODULE, and release as a podcast]
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**PLEASE NOTE** that an audio version of this is available to download via [Soundcloud](https://soundcloud.com/open-science-mooc/module-5-open-source-and-open-research-software) and [YouTube](https://www.youtube.com/watch?v=BHrOEmKk5zM).
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## Introduction <aname="Introduction"></a>
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Welcome to **Module 5** of the Open Science MOOC: **Open Research Software and Open Source**.
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This module has been developed [in the open](https://github.com/OpenScienceMOOC/Module-5-Open-Research-Software-and-Open-Source) through collaboration by an international team of [Open Source afficianados](https://github.com/OpenScienceMOOC/Module-5-Open-Research-Software-and-Open-Source/blob/master/README.md#development-team-). Everything you see here has been developed in the open through interactive feedback and collaboration from the wider community. It comprises a series of videos, infographics, text-based reading (sorry), and practical tasks for you to sink you teeth into.
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This module has been developed [in the open](https://github.com/OpenScienceMOOC/Module-5-Open-Research-Software-and-Open-Source) through collaboration by an international team of [Open Source afficianados](https://github.com/OpenScienceMOOC/Module-5-Open-Research-Software-and-Open-Source/blob/master/README.md#development-team-). Everything you see here has been developed in the open through interactive feedback and collaboration from the wider community. It comprises a series of videos, infographics, text-based reading, and practical tasks for you to sink you teeth into.
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Don't forget you can join in the discussions over at our open [**Slack channel**](https://openmooc-ers-slackin.herokuapp.com/). Please do introduce yourself at #module5opensource, and tell us a bit about who you are, your background, and how you ended up here!
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### Why should you take this module?
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[TO ADD: Introductory video]
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### Who is this module for?
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This module is designed primarily for computational researchers at the graduate and undergraduate level, as well as budding data scientists and any other researcher who uses analytical code or software. In a modern day research environment, this covers pretty much anyone who uses a computer for ther work.
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## Core content
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These are the draft content files. The content in them is fully accessible, and can be used for learning purposes. However, they have not been integrated into a formal MOOC platform yet. At the moment, they are being written in markdown format, and then using the [notedown](https://github.com/aaren/notedown) tool to convert into iPython notebook format.
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These are the draft content files. The content in them is fully accessible, and can be used for learning purposes. However, they have not been integrated into a formal MOOC platform yet. At the moment, they are being written in markdown format, and then using the [notedown](https://github.com/aaren/notedown) tool to convert into iPython notebook format. PDF and HTML versions are created using [pandoc](https://pandoc.org/demos.html) and the [markdown to PDF](https://atom.io/packages/markdown-pdf) package for Atom.
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**IMPORTANT** Please edit the **markdown** files, not the iPython/html files. These will be periodically converted and synchronised as needed.
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For notedown:
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1. Make sure you're working in Linux or Debian
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2. Change working directory: eg `cd /mnt/c/users/pc/desktop/`
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