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docs/intro.md

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@@ -29,6 +29,6 @@ The code presented on this website will presume you have downloaded the data fro
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To make using the datasets easier, we provide code reorganise the `.dta` files into a simple directory structure with a folder for each sweep. This code is described under each study section (e.g., `MCS -> Creating a Simple Folder Structure`). We will assume you have organised the files in this way in other code we present.
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# GitHub Gist
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This website can obviously not provide all the code you may need to carry out the analyses you may want to with CLS data. We have therefore set up the [`#britishcohorts`](https://gist.github.com/search?q=%23britishcohorts) hashtags on GitHub Gist for people to share code snippets that are useful for CLS analyses. Please consider sharing your own code snipetts (for instance, code to derive a useful variable) on GitHub Gist adding the `#britishcohorts` hashtag and a study specific hashtag (`#mcs`, `#bcs70`, `#nextsteps`, `#ncds`) to the Gist description to make it findable.
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This website can obviously not provide all the code you may need to carry out the analyses you may want to with CLS data. We have therefore set up the [`#britishcohorts` hashtag on GitHub Gist](https://gist.github.com/search?q=%23britishcohorts) for people to share code snippets that are useful for CLS analyses. Please consider sharing your own code snipetts (for instance, code to derive a useful variable) on GitHub Gist adding the `#britishcohorts` hashtag and a study specific hashtag (`#mcs`, `#bcs70`, `#nextsteps`, `#ncds`) to the Gist description to make it findable.
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Please also consider sharing the full code for papers you publish on the [Open Science Framework website](https://osf.io) - it helps others reproduce your work and lowers the cost in learning CLS data.

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