OECD Indicators and Analysis Division
E406149
The OECD Indicators and Analysis Division is a unit within the OECD’s education directorate responsible for developing, managing, and interpreting international education statistics and indicators to inform policy.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OECD Indicators and Analysis Division canonical | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
OECD division
ⓘ
education statistics unit ⓘ |
| collaboratesWith |
education ministries
ⓘ
international organisations ⓘ national statistical offices ⓘ |
| country | France ⓘ |
| dataUser |
international organisations
ⓘ
policy makers ⓘ researchers ⓘ |
| employer | OECD ⓘ |
| field |
comparative education
ⓘ
education indicators ⓘ education policy analysis ⓘ education statistics ⓘ international statistics ⓘ quantitative policy analysis ⓘ |
| focusesOn |
education access
ⓘ
education attainment ⓘ education outcomes ⓘ education participation ⓘ education resources ⓘ efficiency of education systems ⓘ equity in education ⓘ international comparability of education data ⓘ |
| headquartersLocation | Paris ⓘ |
| languageOfWork |
English
ⓘ
French ⓘ |
| partOf |
OECD Directorate for Education and Skills
ⓘ
OECD ⓘ
surface form:
Organisation for Economic Co-operation and Development
|
| produces |
analytical reports
ⓘ
data tables ⓘ methodological documentation ⓘ policy-relevant analysis ⓘ statistical indicators ⓘ |
| purpose |
to develop education indicators
ⓘ
to develop international education statistics ⓘ to interpret education data for policy makers ⓘ to monitor education systems internationally ⓘ to support evidence-based education policy ⓘ |
| sector |
education
ⓘ
public policy ⓘ |
| usesMethod |
comparative analysis
ⓘ
data harmonisation ⓘ indicator development ⓘ statistical analysis ⓘ survey design ⓘ |
| worksOn |
education indicators for OECD countries
ⓘ
education indicators for partner economies ⓘ international education datasets ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: OECD Indicators and Analysis Division Description of subject: The OECD Indicators and Analysis Division is a unit within the OECD’s education directorate responsible for developing, managing, and interpreting international education statistics and indicators to inform policy.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.