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Merge pull request #14 from subugoe/jct_dec_23_update
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Minor update docs
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njahn82 committed Dec 19, 2023
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Package: hoaddash
Title: Hybrid Open Access Dashboards with R and Quarto
Version: 0.0.101
Version: 0.0.102
Authors@R: c(
person("Najko", "Jahn", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5105-1463")),
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4 changes: 2 additions & 2 deletions about.qmd
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Expand Up @@ -26,10 +26,10 @@ HOAD is open source and licensed under CC0. We believe that in order to overcome

To engage with everyone, our open source dashboards combine open data from multiple sources as follows:

- Journals included in transformative agreements were obtained from the [cOAlition S Transformative Agreements Public Data](https://journalcheckertool.org/transformative-agreements/) (July 2021, July 2022 and May 2023 snapshots). Agreements with German consortia were derived from [Germany's Open Access Monitor](https://doi.org/10.26165/JUELICH-DATA/VTQXLM) (March 2022). We enriched both journal data sources with ISSN-L, a linking identifier for ISSN variants. Then, we excluded fully open access journals from the cOAlition S Transformative Agreements Public Data by cross-checking with several datasets of fully open access journals: the [Directory of Open Access Journals (DOAJ)](https://doaj.org/), [Bielefeld GOLD OA](https://doi.org/10.4119/unibi/2961544) and [Unpaywall](https://unpaywall.org/).
- Journals included in transformative agreements were obtained from the [cOAlition S Transformative Agreements Public Data](https://journalcheckertool.org/transformative-agreements/) (July 2021, July 2022, May 2023, and December 2023 snapshots). Agreements with German consortia were derived from [Germany's Open Access Monitor](https://doi.org/10.26165/JUELICH-DATA/VTQXLM) (March 2022). We enriched both journal data sources with ISSN-L, a linking identifier for ISSN variants. Then, we excluded fully open access journals from the cOAlition S Transformative Agreements Public Data by cross-checking with several datasets of fully open access journals: the [Directory of Open Access Journals (DOAJ)](https://doaj.org/), [Bielefeld GOLD OA](https://doi.org/10.4119/unibi/2961544) and [OpenAlex](https://openalex.org/).
- [Crossref](https://www.crossref.org/) is our main data source for determining the publication volume in hybrid journals including the uptake of Open Access through Creative Commons licenses. The [ESAC guidelines](https://esac-initiative.org/about/transformative-agreements/reference-guide/), a community recommendation for negotiating transformative agreements, require publishers to make key metadata elements publicly available through Crossref, such as Creative Commons licensing information for Open Access articles. As a [Crossref Metadata Plus subscriber](https://www.crossref.org/services/metadata-retrieval/metadata-plus/), we used monthly Crossref snapshots to derive publication data.
- [OpenAlex](https://openalex.org/) is our data source for determining the country affiliation of lead authors. A [lead author](https://en.wikipedia.org/wiki/Lead_author) is the first named author of a scholarly article who has usually carried out most of the research presented in the article, although author roles can vary across disciplines. We used OpenAlex monthly snaphots as a data source to determine lead author affiliations.
- To highlight potential gaps between Crossref open licensing metadata and information provided via journal webpages, we used [Unpaywall](https://unpaywall.org/) via OpenAlex as a complementary data source for Open Access articles in hybrid journals.
- To highlight potential gaps between Crossref open licensing metadata and information provided via journal webpages, we used [OpenAlex](https://openalex.org/) as a complementary data source for Open Access articles in hybrid journals.

This compiled data is openly available through an R package, [hoaddata](https://subugoe.github.io/hoaddata/). hoaddata contains not only datasets about hybrid open access. It also includes code (mostly SQL) used to compile the data by connecting to [our cloud-based Google Big Query data warehouse](https://subugoe.github.io/scholcomm_analytics/data.html), where we store big scholarly data from Crossref, OpenAlex and Unpaywall. hoaddata is automatically built and updated per month using GitHub Actions, a continuous integration service.

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