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CommunityData:Dataverse
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==An open science workflow using dataverse== There are many ways to follow open science practices. One way to fit the CDSC dataverse into your open science workflow is as follows: ===Step 1: Anonymous while under review=== Some publications ask for an anonymized release of code and data. This is easy to do without breaking double-blind anonymity. Generate a code and data package that doesn't include information that will identify you, and then when uploading '''do not fill out metadata fields with authorship information''' and '''do not release (publish) your archive'''. Delete places where it autofills your name. Once your files are uploaded, under 'Edit Dataset', there's an option to 'Generate Private URL'. See details in the [https://guides.dataverse.org/en/6.0/user/dataset-management.html#private-url-to-review-unpublished-dataset|dataverse user guide]. You'll see that this creates a blue box at the top of your archive which reads "Unpublished Dataset Private URL β Privately share this dataset before it is published:" -- that's the link to share with your reviewers (test this link with another browser to be sure that it doesn't reveal anything). ===Step 2: Identified after acceptance=== You might like to include a link to your dataverse in your paper; you might also want to add it to your accepted preprint before uploading the paper into arXiv. Fill out as many metadata fields as you find useful (authors, description, subject, keywords), ask a colleague to take a look at your archive, and then release it. ===Step 3: Updated after publication=== After your paper is published and the DOI goes live, why not add this information into your archive so that others can find it (the 'Related Publication' metadata field)?
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