Import metadata (i.e., data dictionary) into a project. Because of this method's destructive nature, it works for only projects in Development status.
redcap_metadata_write(
ds,
redcap_uri,
token,
verbose = TRUE,
config_options = NULL,
handle_httr = NULL
)The base::data.frame() or tibble::tibble()
to be imported into the REDCap project.
Required.
The uri/url of the REDCap server typically formatted as "https://server.org/apps/redcap/api/". Required.
The user-specific string that serves as the password for a project. Required.
A boolean value indicating if messages should be printed
to the R console during the operation. The verbose output might contain
sensitive information (e.g. PHI), so turn this off if the output might
be visible somewhere public. Optional.
A list of options passed to httr::POST().
See details at httr::httr_options(). Optional.
The value passed to the handle parameter of
httr::POST().
This is useful for only unconventional authentication approaches. It
should be NULL for most institutions. Optional.
Currently, a list is returned with the following elements:
success: A boolean value indicating if the operation was apparently
successful.
status_code: The
http status code
of the operation.
outcome_message: A human readable string indicating the operation's
outcome.
field_count: Number of fields imported.
elapsed_seconds: The duration of the function.
raw_text: If an operation is NOT successful, the text returned by
REDCap. If an operation is successful, the raw_text is returned as an
empty string to save RAM.
The official documentation can be found on the 'API Help Page' and 'API Examples' pages on the REDCap wiki. If you do not have an account for the wiki, please ask your campus REDCap administrator to send you the static material.
# \dontrun{
# Please don't run this example without changing the token to
# point to your server. It could interfere with our testing suite.
uri <- "https://bbmc.ouhsc.edu/redcap/api/"
token <- "457C24AB91B7FCF5B1A7DA67E70E24C7"
# Read in the dictionary in R's memory from a csv file.
ds_to_write <-
readr::read_csv(
file = system.file(
"test-data/project-simple/metadata.csv",
package = "REDCapR"
),
col_types = readr::cols(.default = readr::col_character())
)
ds_to_write
#> # A tibble: 16 × 18
#> field_name form_name section_header field_type field_label
#> <chr> <chr> <chr> <chr> <chr>
#> 1 record_id demographics NA text Study ID
#> 2 name_first demographics Contact Information text First Name
#> 3 name_last demographics NA text Last Name
#> 4 address demographics NA notes Street, City, S…
#> 5 telephone demographics NA text Phone number
#> 6 email demographics NA text E-mail
#> 7 dob demographics NA text Date of birth
#> 8 age demographics NA calc Age (years)
#> 9 sex demographics NA radio Gender
#> 10 height health NA text Height (cm)
#> 11 weight health NA text Weight (kilogra…
#> 12 bmi health NA calc BMI
#> 13 comments health General Comments notes Comments
#> 14 mugshot health NA file Mugshot
#> 15 race race_and_ethnicity NA checkbox Race (Select al…
#> 16 ethnicity race_and_ethnicity NA radio Ethnicity
#> # ℹ 13 more variables: select_choices_or_calculations <chr>, field_note <chr>,
#> # text_validation_type_or_show_slider_number <chr>,
#> # text_validation_min <chr>, text_validation_max <chr>, identifier <chr>,
#> # branching_logic <chr>, required_field <chr>, custom_alignment <chr>,
#> # question_number <chr>, matrix_group_name <chr>, matrix_ranking <chr>,
#> # field_annotation <chr>
# Import the dictionary into the REDCap project
REDCapR::redcap_metadata_write(
ds = ds_to_write,
redcap_uri = uri,
token = token
)
#> 16 fields were written to the REDCap dictionary in 0.2 seconds.
#> $success
#> [1] TRUE
#>
#> $status_code
#> [1] 200
#>
#> $outcome_message
#> [1] "16 fields were written to the REDCap dictionary in 0.2 seconds."
#>
#> $field_count
#> [1] 16
#>
#> $elapsed_seconds
#> [1] 0.244472
#>
#> $raw_text
#> [1] ""
#>
# }