Merge pull request #28 from subugoe/aug_25

Update

Author: njahn82

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: hoaddash
 Title: Hybrid Open Access Dashboards with R and Quarto
-Version: 0.0.108
+Version: 0.0.109
 Authors@R: c(
     person("Najko", "Jahn", , "najko.jahn@sub.uni-goettingen.de", role = c("aut", "cre"),
            comment = c(ORCID = "0000-0001-5105-1463")),

about.qmd

@@ -26,7 +26,7 @@ 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, 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/).
+- Journals included in transformative agreements were obtained from the [cOAlition S Transformative Agreements Public Data](https://journalcheckertool.org/transformative-agreements/), starting from July 2021. 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 [OpenAlex](https://openalex.org/) as a complementary data source for Open Access articles in hybrid journals.
@@ -48,7 +48,7 @@ Our work should be used in a responsible way. Limitations include:
 - Crossref metadata does not distinguish between article types. We used an extended version of the Unpwaywall paratext recognition approach to exclude non-scientific content from our data. However, the annual publication volume of some journals may be inflated by proceedings supplements.
 - OpenAlex, from which we obtained our affiliation data, is a relatively new scholarly data source. There is ongoing activity to improve the parsing, normalisation, and disambiguation of institutions (see [here](https://doi.org/10.48550/arXiv.2205.01833)). We used [pattern matching to increase the recall of country affiliations](https://github.com/subugoe/hoaddata/blob/main/inst/sql/cr_openalex_inst_full.sql).
 
-To better understand the strengths and limitations of our data work, we commissioned a study from the [Deutsche Zentrum für Hochschul- und Wissenschaftsforschung](https://www.dzhw.eu/forschung/projekt?pr_id=484). The aim is to compare our open data with information contained in the proprietary bibliometrics database Scopus in relation to hybrid open access. Key findings will be made available.
+To better understand the strengths and limitations of our data work, a comparision with Scopus and Web of Science as provided by the German [Kompetenznetzwerk Bibliometrie](https://bibliometrie.info/) was carried out and [published in Scientometrics](https://doi.org/10.1007/s11192-025-05390-3). The analysis revealed strong alignment between first and corresponding authorship when measuring open access uptake by publisher and country across the investigated data sources.
 
 ## Funding