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update to new DRYAD submission interface
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images/dryad_checklist.png

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images/dryad_submission-start.png

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preserve.qmd

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@@ -57,11 +57,6 @@ OK, we know what we want to archive. Now let’s decide where we want to preserv
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UCSB's institutional data repository [Dryad](https://datadryad.org/stash) will be your default data repository. However, we encourage you to discuss with your Faculty Advisor to determine if other data repositories might suit your targeted audience/community better.
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If you would like to research on your own which data repository could be best for your project, the [Registry of Research Data Repositories](https://www.re3data.org) is a great resource to do so.
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### Dryad
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[Dryad](https://datadryad.org/stash) is free of use for any affiliated researcher. Here is an overview of the process of submitting data to DRYAD:
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![DRYAD data submission overview](images/dryad_workflow.png)
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Before you can start this submission process, we will describe the information you need to prepare for your data archive submission.
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- Before logging into Dryad, you must create a free [ORCID](https://info.orcid.org/what-is-orcid/). ORCIDs are free, unique identifiers for yourself. Think of it as a Social Security Number for Researchers that, this time, you can share. Create your account [here](https://orcid.org/register).
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- Then you can [login](https://datadryad.org/stash/sessions/choose_login) and should land on a page as below. Click on the `Start new dataset` button
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![](images/dryad_landing-page.png)
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![](images/dryad_submission-start.png)
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- You will now have to fill out the web form to provide project-level information, starting with the _Preliminary information_ section. Select `other or not applicable` as your submission is not related to a journal publication.
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![](images/dryad_preliminary.png)
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- You will now have to fill out the web form to provide project-level informationfollowing the checklist preserented in the left panel
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![](images/dryad_checklist.png)
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- Fill the _Basic information_ section
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+ _Title_: Note it can be different than your project a describing as much as possible your data archive content
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+ _Keywords_: add relevant keywords and please make sure to add the Bren project keyword `BrenMESMProject`
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+ _Methods_: describe the methods you used for your analysis
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+ _Usage notes_: you can add any software you used to conduct your project here. please provide the version number along with the software name
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- _Related work_ section:
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+ This is where you can link your data repository on GitHub with your data archive. Select `Software` as _Work type_ and paste the URL to your repository. Do not forget to also provide the necessary information on the README on your code repository. Once your data archive is published on DRYAD, do not forget to add the link to README on GitHub, linking the resources both ways.
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![](images/dryad_related-work.png)
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***DRYAD full Submission and publication guidelines: <https://datadryad.org/submission_process>***
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