Get-ID-maps.RmdThe get_id_map() function let’s you enter IDs from
multiple data sources to return a map of all those held by ROR. This
includes UKPRNs, GRID IDs and Wikidata IDs, amongst others.
library(ror4r)
data <- get_id_map("grid.8391.3") # Exeter's grid id
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#> New names:
#> New names:
#> • `` -> `...1`
data
#> # A tibble: 16 × 4
#> name type source id
#> <chr> <chr> <chr> <chr>
#> 1 University of Exeter preferred ISNI NA
#> 2 University of Exeter all ISNI "0000 0004 1936 8024"
#> 3 University of Exeter preferred FundRef "501100000737"
#> 4 University of Exeter all FundRef "c(\"501100000737\", \"501100000604\…
#> 5 University of Exeter preferred HESA NA
#> 6 University of Exeter all HESA "0119"
#> 7 University of Exeter preferred UCAS NA
#> 8 University of Exeter all UCAS "E84"
#> 9 University of Exeter preferred UKPRN NA
#> 10 University of Exeter all UKPRN "10007792"
#> 11 University of Exeter preferred OrgRef NA
#> 12 University of Exeter all OrgRef "33719893"
#> 13 University of Exeter preferred Wikidata NA
#> 14 University of Exeter all Wikidata "Q1414861"
#> 15 University of Exeter preferred GRID "grid.8391.3"
#> 16 University of Exeter all GRID "grid.8391.3"If you have several IDs you want to map, you can run them through
using lapply(), or perhaps better off,
purrr::safely() which will catch any errors you might throw
up. It is only recommended you take this approach if you have a
relatively small number of IDs to map. The response time for
trying to do this with too many IDs will be very long. In this case you
may be better off using read_data_dump() to get a full
extract of the dataset.
#vector ids
ids <- c("grid.7340.0", "grid.5337.2")
#run
results <- purrr::map(
.x = ids,
.f = purrr::safely(function(x) get_id_map(id = x))
) |>
purrr::map_df("result")
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#> New names:
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#> New names:
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#> • `` -> `...1`
results
#> # A tibble: 32 × 4
#> name type source id
#> <chr> <chr> <chr> <chr>
#> 1 University of Bath preferred ISNI NA
#> 2 University of Bath all ISNI 0000 0001 2162 1699
#> 3 University of Bath preferred FundRef NA
#> 4 University of Bath all FundRef 501100000835
#> 5 University of Bath preferred HESA NA
#> 6 University of Bath all HESA 0109
#> 7 University of Bath preferred UCAS NA
#> 8 University of Bath all UCAS B16
#> 9 University of Bath preferred UKPRN NA
#> 10 University of Bath all UKPRN 10007850
#> # ℹ 22 more rows