Package 'oecdoda'

Title: 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).
Authors: Christoph Scheuch [aut, cre, cph] (ORCID: <https://orcid.org/0009-0004-0423-6819>)
Maintainer: Christoph Scheuch <[email protected]>
License: MIT + file LICENSE
Version: 0.1.0.9001
Built: 2026-05-26 08:14:56 UTC
Source: https://github.com/tidy-intelligence/r-oecdoda

Help Index

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 NULL, no lower bound is set. Defaults to NULL.
end_year

Integer. The ending year of the data query. If NULL, no upper bound is set. Defaults to NULL.
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 FALSE, returns raw output. Defaults to TRUE.
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 NULL, no lower bound is set. Defaults to NULL.
end_year

Integer. The ending year of the data query. If NULL, no upper bound is set. Defaults to NULL.
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 FALSE, returns raw output. Defaults to TRUE.

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 NULL, no lower bound is set. Defaults to NULL.
end_year

Integer. The ending year of the data query. If NULL, no upper bound is set. Defaults to NULL.
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 FALSE, returns raw output. Defaults to TRUE.

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 NULL, no lower bound is set. Defaults to NULL.
end_year

Integer. The ending year of the data query. If NULL, no upper bound is set. Defaults to NULL.
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 FALSE, returns raw output. Defaults to TRUE.

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., "DSD_CRS@DF_CRS").

Value

A character vector of available filter names for the given resource.

Examples

oda_list_filters()

oda_list_filters("DSD_DAC2@DF_DAC2A")