OECD Science-technology: Business enterprise R&D expenditure by industry

OECD science-technology data for Business enterprise R&D expenditure by industry.

science-technology global science-technology/global/dsd-rds-berd-df-berd-indu OECD science-technology business enterprise r&d expenditure industry

View sample data (table) — free preview, same rows as GET /api/datasets/dsd-rds-berd-df-berd-indu/sample

Catalog

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GET /api/catalog — catalog in JSON
GET /api/catalog?q=… — search the catalog

Dataset API

Endpoints for this dataset — schema, filter values, preview, and querying.

GET /api/datasets/dsd-rds-berd-df-berd-indu — schema, filters, and pricing
Sample preview (table) · GET /api/datasets/dsd-rds-berd-df-berd-indu/sample — free sample (up to 100 rows)
GET /api/datasets/dsd-rds-berd-df-berd-indu/members/{col} — valid values for a filterable column
GET /api/datasets/dsd-rds-berd-df-berd-indu/query — query with filters (API key required)

Purchase

Add balance or buy access to start querying.

POST /api/checkout/x402 — agents: add balance via x402 (USDC)
Sign in at /account — humans: add balance via Stripe (card, Apple Pay, bank transfer)
POST /api/ap2/intent → /api/ap2/purchase — agents: AP2 mandate-based payment

Source

Name: OECD
URL: https://stats.oecd.org/
License: CC BY 4.0

Size and Format

Rows: 145,689
Columns: 49
Size (bytes): 1,038,479
Formats: parquet, csv

Pricing

Per query (USD): 0.0000 USD
Max rows per query: 1000
Free: Yes
Free sample: Yes

Temporal Coverage

end: 2023
start: 1994
frequency: annual

Geographic Coverage

level: country
coding: ISO Alpha-3
region: global

Query Filters

Columns you can use as query params in GET /api/datasets/dsd-rds-berd-df-berd-indu/query.

decimals_code Members (JSON)
measure_code Members (JSON)
price_base_code Members (JSON)
year Members (JSON)
currency_code Members (JSON)
ref_area Members (JSON)

Schema (Columns)

Column	Type	Description	Filterable
`action`	string	Action	Yes
`ref_area`	string	Ref area	Yes
`reference_area`	string	Reference area	Yes
`freq`	string	Freq	Yes
`frequency_of_observation`	string	Frequency of observation	Yes
`measure_code`	string	Measure code	Yes
`measure_name`	string	Measure name	Yes
`sect_perf`	string	Sect perf	Yes
`sector_of_performance`	string	Sector of performance	Yes
`sect_fund`	string	Sect fund	Yes
`sources_of_funds`	string	Sources of funds	Yes
`type_cost`	string	Type cost	Yes
`type_of_expenditure`	string	Type of expenditure	Yes
`size_class`	string	Size class	Yes
`employment_size_class`	string	Employment size class	Yes
`activity`	string	Activity	Yes
`economic_activity`	string	Economic activity	Yes
`criteria`	string	Criteria	Yes
`classification_criteria`	string	Classification criteria	Yes
`unit_measure`	string	Unit measure	Yes
`unit_of_measure`	string	Unit of measure	Yes
`price_base_code`	string	Price base code	Yes
`price_base_name`	string	Price base name	Yes
`year`	integer	Year	Yes
`time_period`	string	Time period	Yes
`value`	float	Value	No
`observation_value`	string	Observation value	Yes
`obs_status`	string	Obs status	Yes
`observation_status`	string	Observation status	Yes
`obs_status_2`	string	Obs status 2	Yes
`observation_status_2`	string	Observation status 2	Yes
`obs_status_3`	string	Obs status 3	Yes
`observation_status_3`	string	Observation status 3	Yes
`aux_obs_status`	string	Aux obs status	Yes
`aux_observation_status`	string	Aux observation status	Yes
`aux_obs_status_2`	string	Aux obs status 2	Yes
`aux_observation_status_2`	string	Aux observation status 2	Yes
`aux_obs_status_3`	string	Aux obs status 3	Yes
`aux_observation_status_3`	string	Aux observation status 3	Yes
`conf_status`	string	Conf status	Yes
`confidentiality_status`	string	Confidentiality status	Yes
`unit_mult`	string	Unit mult	Yes
`unit_multiplier`	string	Unit multiplier	Yes
`base_per`	string	Base per	Yes
`base_period`	string	Base period	Yes
`currency_code`	string	Currency code	Yes
`currency_name`	string	Currency name	Yes
`decimals_code`	string	Decimals code	Yes
`decimals_name`	string	Decimals name	Yes

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