| Title: | Seamless Access to OECD Official Development Assistance (ODA) Data |
| Version: | 0.1.0 |
| Description: | Access and Analyze Official Development Assistance (ODA) data using the OECD API https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf. ODA data includes sovereign-level aid data such as key aggregates (DAC1), geographical distributions (DAC2A), project-level data (CRS), and multilateral contributions (Multisystem). |
| License: | MIT + file LICENSE |
| Depends: | R (≥ 4.1) |
| Imports: | cli (≥ 3.0.0), httr2 (≥ 1.0.0), tibble |
| Suggests: | curl, testthat (≥ 3.0.0) |
| URL: | https://github.com/tidy-intelligence/r-oecdoda, https://tidy-intelligence.github.io/r-oecdoda/ |
| BugReports: | https://github.com/tidy-intelligence/r-oecdoda/issues |
| Config/testthat/edition: | 3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| NeedsCompilation: | no |
| Packaged: | 2025-07-24 12:42:08 UTC; krise |
| Author: | Christoph Scheuch 
[aut, cre, cph] |
| Maintainer: | Christoph Scheuch <christoph@tidy-intelligence.com> |
| Repository: | CRAN |
| Date/Publication: | 2025-07-25 16:20:02 UTC |
oecdoda: Seamless Access to OECD Official Development Assistance (ODA) Data
Description
Access and Analyze Official Development Assistance (ODA) data using the OECD API https://gitlab.algobank.oecd.org/public-documentation/dotstat-migration/-/raw/main/OECD_Data_API_documentation.pdf. ODA data includes sovereign-level aid data such as key aggregates (DAC1), geographical distributions (DAC2A), project-level data (CRS), and multilateral contributions (Multisystem).
Author(s)
Maintainer: Christoph Scheuch christoph@tidy-intelligence.com (ORCID) [copyright holder]
See Also
Useful links:
Report bugs at https://github.com/tidy-intelligence/r-oecdoda/issues
Get OECD Creditor Reporting System (CRS) data
Description
Retrieves data from the OECD CRS dataset using specified filters, years, and optional pre-processing.
Usage
oda_get_crs(
start_year = NULL,
end_year = NULL,
filters = NULL,
pre_process = TRUE,
as_grant_equivalent = FALSE
)
Arguments
start_year |
Integer. The starting year of the data query. If |
end_year |
Integer. The ending year of the data query. If |
filters |
List. A named list of filters to apply (e.g., donor codes, easure, flow type, unit measure, price base). Values must match OECD dotstat codes. |
pre_process |
Logical. Whether to clean and rename columns into a
standard format. If |
as_grant_equivalent |
Logical. Whether the 'flows' or 'grant equivalent' version of the CRS should be returned. |
Value
A data frame containing OECD CRS data
Examples
oda_get_crs(
start_year = 2018,
end_year = 2022,
filters = list(
donor = c("AUT", "FRA", "USA"),
recipient = "BIH",
measure = 100,
channel = 60000,
price_base = "Q"
)
)
Get OECD DAC1 Official Development Assistance (ODA) data
Description
Retrieves data from the OECD DAC1 dataset using specified filters, years, and optional pre-processing.
Usage
oda_get_dac1(
start_year = NULL,
end_year = NULL,
filters = NULL,
pre_process = TRUE
)
Arguments
start_year |
Integer. The starting year of the data query. If |
end_year |
Integer. The ending year of the data query. If |
filters |
List. A named list of filters to apply (e.g., donor codes, easure, flow type, unit measure, price base). Values must match OECD dotstat codes. |
pre_process |
Logical. Whether to clean and rename columns into a
standard format. If |
Value
A data frame containing OECD DAC1 data
Examples
oda_get_dac1(
start_year = 2018,
end_year = 2022,
filters = list(
donor = c("FRA", "USA"),
measure = 11017,
flow_type = 1160,
unit_measure = "XDC",
price_base = "V"
)
)
Get OECD DAC2A Official Development Assistance (ODA) data
Description
Retrieves data from the OECD DAC2A dataset using specified filters, years, and optional pre-processing.
Usage
oda_get_dac2a(
start_year = NULL,
end_year = NULL,
filters = NULL,
pre_process = TRUE
)
Arguments
start_year |
Integer. The starting year of the data query. If |
end_year |
Integer. The ending year of the data query. If |
filters |
List. A named list of filters to apply (e.g., donor codes, easure, flow type, unit measure, price base). Values must match OECD dotstat codes. |
pre_process |
Logical. Whether to clean and rename columns into a
standard format. If |
Value
A data frame containing OECD DAC2A data
Examples
oda_get_dac2a(
start_year = 2018,
end_year = 2022,
filters = list(
donor = "GBR",
recipient = c("GTM","CHN"),
measure = 106,
price_base = "Q"
)
)
Get OECD Members Total Use of the Multilateral System (Multisystem)
Description
Retrieves data from the OECD Multisystem dataset using specified filters, years, and optional pre-processing.
Usage
oda_get_multisystem(
start_year = NULL,
end_year = NULL,
filters = NULL,
pre_process = TRUE
)
Arguments
start_year |
Integer. The starting year of the data query. If |
end_year |
Integer. The ending year of the data query. If |
filters |
List. A named list of filters to apply (e.g., donor codes, easure, flow type, unit measure, price base). Values must match OECD dotstat codes. |
pre_process |
Logical. Whether to clean and rename columns into a
standard format. If |
Value
A data frame containing OECD Multisystem data
Examples
oda_get_multisystem(
start_year = 2018,
end_year = 2022,
filters = list(
donor = "DAC",
recipient = "DPGC",
sector = 1000,
measure = 10
)
)
List Available Filters for an ODA Resource
Description
List Available Filters for an ODA Resource
Usage
oda_list_filters(resource = NULL)
Arguments
resource |
A character string identifying the resource
(e.g., |
Value
A character vector of available filter names for the given resource.
Examples
oda_list_filters()
oda_list_filters("DSD_DAC2@DF_DAC2A")