library(hoaddata)
library(dplyr)
#>
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#>
#> filter, lag
#> The following objects are masked from 'package:base':
#>
#> intersect, setdiff, setequal, union
Datasets
This package provides the following data tables.
oam_hybrid_jns
Hybrid Journals listed in the Open Access Monitor. Data were gathered from https://doi.org/10.26165/JUELICH-DATA/VTQXLM and enriched with ISSN variants.
oam_hybrid_jns
#> # A tibble: 14,603 × 3
#> vertrag issn_l issn
#> <chr> <chr> <chr>
#> 1 De Gruyter (SUB Göttingen) 0306-0322 0306-0322
#> 2 De Gruyter (SUB Göttingen) 0306-0322 1865-8717
#> 3 De Gruyter (SUB Göttingen) 0003-5696 0003-5696
#> 4 De Gruyter (SUB Göttingen) 0003-5696 1613-0421
#> 5 De Gruyter (SUB Göttingen) 1438-2091 1438-2091
#> 6 De Gruyter (SUB Göttingen) 1438-2091 1868-9426
#> 7 De Gruyter (SUB Göttingen) 0232-8461 0232-8461
#> 8 De Gruyter (SUB Göttingen) 0232-8461 2196-6761
#> 9 De Gruyter (SUB Göttingen) 0003-6390 0003-6390
#> 10 De Gruyter (SUB Göttingen) 0003-6390 2156-7093
#> # ℹ 14,593 more rows
Number of investigated journals: 7512
By agreement
oam_hybrid_jns %>%
group_by(vertrag) %>%
summarise(journals = n_distinct(issn_l)) %>%
arrange(desc(journals))
#> # A tibble: 20 × 2
#> vertrag journals
#> <chr> <int>
#> 1 Springer Hybrid (DEAL) 2116
#> 2 Elsevier (DEAL) 1859
#> 3 Wiley Hybrid (DEAL) 1412
#> 4 Sage (BSB) 980
#> 5 CUP (BSB) 332
#> 6 TaylorFrancis (ZBW) 270
#> 7 De Gruyter (SUB Göttingen) 105
#> 8 Karger (BSB) 71
#> 9 De Gruyter (ZBW) 70
#> 10 ACM (hebis) 60
#> 11 IOP (TIB) 56
#> 12 RSC (TIB) 38
#> 13 Nature (MPDL) 35
#> 14 Hogrefe (SUB Göttingen) 32
#> 15 AIP (TIB) 30
#> 16 BMJ (BSB) 28
#> 17 SPIE (TIB) 11
#> 18 Thieme (ZB MED) 7
#> 19 Portland Press (TIB) 5
#> 20 ECS (TIB) 2
jn_ind
Aggregated data about the prevalence of Creative Commons license variants by year and hybrid journal as obtained from Crossref.
jn_ind
#> # A tibble: 170,252 × 6
#> issn_l cr_year cc cc_total jn_all prop
#> <chr> <fct> <fct> <int> <int> <dbl>
#> 1 0001-0782 2017 CC BY-SA 1 281 0.00356
#> 2 0001-0782 2017 CC BY-NC-ND 3 281 0.0107
#> 3 0001-0782 2017 CC BY-NC 2 281 0.00712
#> 4 0001-0782 2017 CC BY 2 281 0.00712
#> 5 0001-0782 2017 CC BY-NC-SA 1 281 0.00356
#> 6 0001-0782 2018 CC BY-NC-SA 2 302 0.00662
#> 7 0001-0782 2018 CC BY 3 302 0.00993
#> 8 0001-0782 2019 CC BY-NC-ND 4 280 0.0143
#> 9 0001-0782 2019 CC BY-SA 1 280 0.00357
#> 10 0001-0782 2019 CC BY 6 280 0.0214
#> # ℹ 170,242 more rows
Number of active journals: 13198
Number of open access articles with Creative Commons license: 1816191
Creative Commons Breakdown:
jn_aff
First author country affiliations per journal, year and Creative Commons license
jn_aff
#> # A tibble: 2,549,593 × 6
#> issn_l cr_year country_code cc articles_under_cc_va…¹ articles_total
#> <chr> <int> <chr> <chr> <int> <int>
#> 1 1877-0568 2025 NA NA 30 42
#> 2 0003-1615 2025 NA NA 32 39
#> 3 1471-5953 2025 TR NA 25 25
#> 4 0303-1853 2025 IT CC BY-N… 1 1
#> 5 0006-3657 2025 GB CC BY-N… 2 11
#> 6 1353-8020 2025 JP NA 6 10
#> 7 0734-2101 2025 CN NA 52 53
#> 8 2162-2248 2025 CA NA 5 5
#> 9 1948-7193 2025 CN NA 42 46
#> 10 0175-7571 2025 IN NA 2 2
#> # ℹ 2,549,583 more rows
#> # ℹ abbreviated name: ¹articles_under_cc_variant
cc_articles
Article-level affiliation data from first authors as obtained from OpenAlex.
cc_articles
#> # A tibble: 2,399,537 × 6
#> doi issn_l cr_year cc country_code ror
#> <chr> <chr> <int> <chr> <chr> <chr>
#> 1 10.1002/1438-390x.1017 1438-3896 2019 CC BY AT https://r…
#> 2 10.1002/1438-390x.1019 1438-3896 2019 CC BY-NC-ND NA https://r…
#> 3 10.1002/1438-390x.1019 1438-3896 2019 CC BY-NC-ND US https://r…
#> 4 10.1002/1438-390x.12015 1438-3896 2019 CC BY-NC-ND ZA https://r…
#> 5 10.1002/1438-390x.12016 1438-3896 2019 CC BY-NC JP https://r…
#> 6 10.1002/1438-390x.12018 1438-3896 2019 CC BY-NC-ND JP https://r…
#> 7 10.1002/1438-390x.12018 1438-3896 2019 CC BY-NC-ND JP https://r…
#> 8 10.1002/1438-390x.12019 1438-3896 2019 CC BY JP https://r…
#> 9 10.1002/1438-390x.12019 1438-3896 2019 CC BY JP https://r…
#> 10 10.1002/1438-390x.12021 1438-3896 2019 CC BY US https://r…
#> # ℹ 2,399,527 more rows
cc_articles %>%
group_by(cc) %>%
summarise(articles = n_distinct(doi))
#> # A tibble: 6 × 2
#> cc articles
#> <chr> <int>
#> 1 CC BY 1177420
#> 2 CC BY-NC 177781
#> 3 CC BY-NC-ND 457201
#> 4 CC BY-NC-SA 3147
#> 5 CC BY-ND 298
#> 6 CC BY-SA 344
cr_md
Crossref metadata coverage.
cr_md
#> # A tibble: 116,162 × 9
#> cr_year issn_l article_total tdm_total orcid_total funder_total
#> <int> <chr> <int> <int> <int> <int>
#> 1 2017 0001-0782 9 9 0 6
#> 2 2018 0001-0782 5 5 0 3
#> 3 2019 0001-0782 11 11 0 4
#> 4 2020 0001-0782 4 4 0 1
#> 5 2020 0001-0782 1 1 0 0
#> 6 2021 0001-0782 27 27 0 17
#> 7 2021 0001-0782 2 2 0 2
#> 8 2022 0001-0782 30 30 0 15
#> 9 2022 0001-0782 1 1 0 1
#> 10 2023 0001-0782 24 24 0 8
#> # ℹ 116,152 more rows
#> # ℹ 3 more variables: abstract_total <int>, ref_total <int>, cat <chr>