Name: Global Research And Development Indicators
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Global Research And Development Indicators

This dataset provides a comprehensive overview of key research and development indicators across various countries from 2016 to 2022. The indicators included are:

Researchers per Million Inhabitants (Full-Time Equivalent - FTE): This metric offers a snapshot of the number of full-time equivalent researchers per million inhabitants in each country. It is an essential indicator for understanding the density of research professionals within a nation.
Gross Domestic Expenditure on R&D (GERD) as a Percentage of GDP: This metric reflects the total expenditure on research and development as a proportion of the Gross Domestic Product (GDP). It is a crucial indicator of a country's investment in R&D relative to its economic size.

The dataset encompasses a diverse set of countries, highlighting variations in research infrastructure and investment levels globally. Each entry includes the country name, the year of the data, the value of the indicator, and any relevant flags or notes on the data (e.g., national estimates).

Columns:

Indicator: The type of R&D indicator (e.g., Researchers per million inhabitants or GERD as a percentage of GDP).
Country Code: The ISO 3166-1 alpha-3 code representing the country.
Country: The name of the country.
Year: The year the data was recorded.
Value: The value of the respective R&D indicator.
Flag Codes: Any additional codes indicating special notes about the data.
Flags: Descriptions of the flag codes, such as national estimates or other relevant annotations.

This dataset is ideal for researchers, policymakers, and analysts interested in understanding and comparing the R&D landscape across different nations. It can also be used to identify trends, gaps, and opportunities in global research and development efforts.

Tables

Scn Ds 29052024230423150

@kaggle.programmerrdai_global_research_and_development_indicators.scn_ds_29052024230423150

25.63 kB
1,483 rows
9 columns

CREATE TABLE scn_ds_29052024230423150 (
  "indicator" VARCHAR,
  "indicator_e68149" VARCHAR  -- Indicator,
  "location" VARCHAR,
  "country" VARCHAR,
  "time" BIGINT,
  "time_660678" BIGINT  -- Time,
  "value" DOUBLE,
  "flag_codes" VARCHAR,
  "flags" VARCHAR
);