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training/research-cycle-handbook/04-preserve-and-share.qmd

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@@ -1202,93 +1202,36 @@ The LMU Open Science Center is one of the many child organizations of LMU Munich
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## <i class="bi bi-card-checklist"></i> Preserve & Share Checklist {.unnumbered}
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**Before Publication:**
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<div class="orc-grid-2col">
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<div>
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- [ ] Data deposited in appropriate repository
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- [ ] Metadata complete and discoverable
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- [ ] Code published with documentation
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- [ ] DOIs obtained for data and code
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</div>
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<div>
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- [ ] All authors have ORCIDs linked
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- [ ] Licenses applied (CC0/CC BY, MIT/Apache)
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- [ ] Sensitive data removed and verified
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- [ ] Ethics approval for sharing (if required)
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</div>
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</div>
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**At Submission:**
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<div class="orc-grid-2col">
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<div>
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- [ ] Data Availability Statement with DOIs
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- [ ] Code availability materials linked
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- [ ] Open access option selected
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</div>
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<div>
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- [ ] ORCID, ROR, funder IDs included
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- [ ] Author contributions (CRediT) specified
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- [ ] Preprint posted (if applicable)
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</div>
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</div>
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**After Acceptance:**
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- [ ] Postprint uploaded to institutional repository
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- [ ] Preprint updated with link to published version
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- [ ] Repository READMEs updated with citation
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- [ ] Co-authors receive final citation and PDF
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**Long-term:**
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- [ ] Verify DOIs resolve correctly
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- [ ] Respond to data/code access requests
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- [ ] Monitor citations and usage metrics
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:::
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<!--Before Depositing Data
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Essential steps:
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Complete anonymization of personal information
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README file with study description and methods
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Data dictionary with variable descriptions
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Appropriate license (CC0 or CC BY recommended)
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Ethics committee approval if required-->
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**Before sharing resources**
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<!--Before publishing code:
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- [ ] Complete metadata, README (with instructions), and documentation (e.g. data dictionary)
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- [ ] No sensitive information in any files to be shared
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- [ ] Simulated or synthetic data created to run the code instead of real data (if needed)
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- [ ] Data quality validated, code peer-reviewed, materials checked and cleaned
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- [ ] Results reproducible, following reporting guidelines, separated in preregistered vs exploratory
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- [ ] All authors have ORCID
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Remove API keys, passwords, credentials
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Remove personal or participant data
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Review entire git history
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Add simulated data if needed
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Document dependencies clearly -->
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**Upon publishing resources**
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- [ ] Add an open licence (e.g. CC.BY 4.0 for data and materials, Apache 2.0 for code)
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- [ ] Fill out the metadata of the repository where the resources are deposited
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- [ ] Link authors's ORCID, and the ROR of their organisation and funders to all resources
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- [ ] Release publically and get a DOI
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- [ ] Modify the metadata of all resources to include the DOIs of other conencted resources
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**Upon submitting an article**
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::: {.orc-gradient-box}
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- [ ] Include the DOI of all resources in MS (data, code, materials, conceptual figures)
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- [ ] Use CRediT taxinomy to give attribution to all contributors
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- [ ] Deposit a preprint on preprint server or institutional repository (if allowed)
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- [ ] Request an open licence (CC.BY 4.0) for the article if possible to allow redistribution
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## <i class="bi bi-card-checklist"></i> Preserve & Share Checklist {.unnumbered}
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**After acceptance of an article**
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**Before sharing resources**
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- [ ] Udate the preprint with a postprint (if allowed)
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- [ ] Link the DOI of the published article to the preprint/postprint
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- [ ] Handle data accesss requests if only metadat were shared
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- [ ] Monitor citations and usage metrics of all research otuputs
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- [ ] Complete metadata, README (with instructions), and documentation (e.g. data dictionary)
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- [ ] No sensitive information in any files to be shared
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- [ ] Data quality validated, code peer-reviewed, materials checked and cleaned
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- [ ] Results reproducible, following reporting guidelines, separated in preregistered vs exploratory
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- [ ] All authors have ORCID
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:::

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