elifesciences / enhanced-preprints-import

Enhanced Preprints import system
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MSID: 92311 Version: 2 DOI: 10.48550/arXiv.2305.04587 #2649

Open nlisgo opened 10 months ago

nlisgo commented 10 months ago

MSID: 92311

Version: 2

Preprint DOI: https://doi.org/10.48550/arXiv.2305.04587

Step 1. Awaiting reviews

Editorial to post reviews via hypothesis

Useful links:

For trouble shooting (e.g. no Docmaps available):

Step 2. Preview reviewed preprint

Production QC content ahead of publication

Instructions:

Useful links:

Step 3: Awaiting search reindex

This step adds the reviewed preprint to the homepage: https://elifesciences.org

The search reindex is triggered once an hour. We need the reviewed preprint to be indexed as the search application serves the journal homepage.

Useful links:

Step 4: Published! PDF requested

Waiting for PDF to be generated

Useful links:

Step 5: Introduce PDF to data folder and git repo

Upload PDF to relevent folder in git repo https://github.com/elifesciences/enhanced-preprints-data/

Step 6: Done!

naushinthomson commented 9 months ago

@fred-atherden code formatting isn't displaying on EPP

Image

Image

fred-atherden commented 9 months ago

Thanks for flagging @naushinthomson.

I notice in the meca file provided by Exeter, these are captured as code elements:

<p>The code and data to reproduce our analyses is openly available at <ext-link ext-link-type="uri" xlink:href="https://gitlab.uzh.ch/samuel.pawel/rsAbsence">https://gitlab.uzh.ch/samuel.pawel/rsAbsence</ext-link>. A snapshot of the repository at the time of writing is available at <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.7906792">https://doi.org/10.5281/zenodo.7906792</ext-link>. We used the statistical programming language R version 4.3.2 (<xref ref-type="bibr" rid="c54">R Core Team, 2022</xref>) for analyses. The R packages <code>ggplot2</code> (<xref ref-type="bibr" rid="c66">Wickham, 2016</xref>), <code>dplyr</code> (<xref ref-type="bibr" rid="c67">Wickham et al., 2022</xref>), <code>knitr</code> (<xref ref-type="bibr" rid="c68">Xie, 2022</xref>), and <code>reporttools</code> (<xref ref-type="bibr" rid="c57">Rufibach, 2009</xref>) were used for plotting, data preparation, dynamic reporting, and formatting, respectively. The data from the RPCB were obtained by downloading the files from <ext-link ext-link-type="uri" xlink:href="https://github.com/mayamathur/rpcb">https://github.com/mayamathur/rpcb</ext-link> (commit a1e0c63) and extracting the relevant variables as indicated in the R script <code>preprocess-rpcb-data.R</code> which is available in our git repository. The RPP and EPRP data were obtained from the <code>RProjects</code> data set available in the R package <code>ReplicationSuccess</code> (<xref ref-type="bibr" rid="c25">Held, 2020</xref>), see the package documentation (<ext-link ext-link-type="uri" xlink:href="https://CRAN.R-project.org/package=ReplicationSuccess">https://CRAN.R-project.org/package=ReplicationSuccess</ext-link>) for details on data extraction.</p>

These have been converted to codeBlocks in the JSON (appropriate conversion), but EPP does not support code blocks. In any case, monospace would be more appropriate here.

I have fixed the package at s3://prod-elife-epp-meca/92311-v2-meca.zip, and triggered the temporal workflow. I think this should be resolved now (but LMK if not).