@@ -21,22 +21,22 @@ but the reality is often more complicated.
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Normal practice today looks something like this:
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* A scientist collects some data and stores it on a machine
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- that is occasionally backed up by her department.
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- * She then writes or modifies a few small programs
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- (which also reside on her machine)
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+ that is occasionally backed up by their department.
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+ * They then write or modify a few small programs
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+ (which also reside on the machine)
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to analyze that data.
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- * Once she has some results,
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- she writes them up and submits her paper.
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- She might include her data -- a growing number of journals require this -- but
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- she probably doesn 't include her code.
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+ * Once they have some results,
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+ they write them up and submit a paper.
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+ The scientist might include their data -- a growing number of journals require this -- but
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+ they probably don 't include the code.
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* Time passes.
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- * The journal sends her reviews written anonymously by a handful of other people in her field.
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- She revises her paper to satisfy them ,
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- during which time she might also modify the scripts she wrote earlier,
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+ * The journal sends the scientist reviews written anonymously by a handful of other people in their field.
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+ The scientist revises the paper to satisfy the reviewers ,
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+ during which time they might also modify the scripts they wrote earlier,
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and resubmits.
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* More time passes.
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* The paper is eventually published.
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- It might include a link to an online copy of her data,
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+ It might include a link to an online copy of the data,
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but the paper itself will be behind a paywall:
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only people who have personal or institutional access
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will be able to read it.
@@ -52,24 +52,24 @@ the process looks like this:
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[ Digital Object Identifier] ( https://en.wikipedia.org/wiki/Digital_object_identifier ) (DOI).
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Or the data was already published and is stored in
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[ Dryad] ( https://datadryad.org/ ) .
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- * The scientist creates a new repository on GitHub to hold her work.
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- * As she does her analysis,
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- she pushes changes to her scripts
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+ * The scientist creates a new repository on GitHub to hold their work.
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+ * During analysis,
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+ they push changes to their scripts
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(and possibly some output files)
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to that repository.
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- She also uses the repository for her paper;
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- that repository is then the hub for collaboration with her colleagues.
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- * When she's happy with the state of her paper,
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- she posts a version to [ arXiv] ( https://arxiv.org/ )
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+ The scientist also uses the repository for their paper;
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+ that repository is then the hub for collaboration with colleagues.
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+ * When they are happy with the state of the paper,
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+ the scientist posts a version to [ arXiv] ( https://arxiv.org/ )
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or some other preprint server
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to invite feedback from peers.
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* Based on that feedback,
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- she may post several revisions
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- before finally submitting her paper to a journal.
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- * The published paper includes links to her preprint
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- and to her code and data repositories,
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+ they may post several revisions
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+ before finally submitting the paper to a journal.
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+ * The published paper includes links to the preprint
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+ and to the code and data repositories,
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which makes it much easier for other scientists
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- to use her work as starting point for their own research.
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+ to use their work as starting point for their own research.
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This open model accelerates discovery:
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the more open work is,
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