Awesome-Agent-Skills-for-Empirical-Research openaire-api

Search EU-funded research outputs via the OpenAIRE Graph API

install

source · Clone the upstream repo

git clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/43-wentorai-research-plugins/skills/literature/search/openaire-api" ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-openaire-api && rm -rf "$T"

manifest: skills/43-wentorai-research-plugins/skills/literature/search/openaire-api/SKILL.md

source content

OpenAIRE Graph API

Overview

OpenAIRE is the European Open Science infrastructure providing programmatic access to millions of research outputs — publications, datasets, software, and other research products — linked to EU-funded projects, organizations, and researchers. The Graph API is free, requires no authentication, and returns JSON or XML. Uniquely valuable for discovering EU/Horizon-funded research and tracing connections between research outputs, projects, and institutions.

API Endpoints

Base URL

https://api.openaire.eu

Search Publications

# Search by keywords
curl "https://api.openaire.eu/search/publications?keywords=climate+change+adaptation&format=json&size=10"

# Filter by open access
curl "https://api.openaire.eu/search/publications?keywords=machine+learning&openaccessonly=true&format=json"

# Filter by date
curl "https://api.openaire.eu/search/publications?keywords=CRISPR&fromDateAccepted=2023-01-01&toDateAccepted=2026-12-31&format=json"

# Filter by EU project
curl "https://api.openaire.eu/search/publications?projectID=corda__h2020::123456&format=json"

# Search by DOI
curl "https://api.openaire.eu/search/publications?doi=10.1038/s41586-023-05881-4&format=json"

Search Datasets

# Find research datasets
curl "https://api.openaire.eu/search/datasets?keywords=genomics+sequencing&format=json&size=20"

# Open access datasets only
curl "https://api.openaire.eu/search/datasets?keywords=ocean+temperature&openaccessonly=true&format=json"

Search Projects

# Search EU-funded projects
curl "https://api.openaire.eu/search/projects?keywords=artificial+intelligence&funder=EC&format=json"

# Horizon 2020 projects
curl "https://api.openaire.eu/search/projects?keywords=renewable+energy&fundingStream=H2020&format=json"

# Horizon Europe projects
curl "https://api.openaire.eu/search/projects?keywords=quantum+computing&fundingStream=HE&format=json"

Query Parameters

Parameter	Description	Example
`keywords`	Free-text search	`keywords=deep+learning`
`doi`	Search by DOI	`doi=10.1234/example`
`openaccessonly`	Open access filter	`openaccessonly=true`
`fromDateAccepted`	Start date	`fromDateAccepted=2023-01-01`
`toDateAccepted`	End date	`toDateAccepted=2026-12-31`
`funder`	Funding agency	`funder=EC` (European Commission)
`fundingStream`	Funding program	`fundingStream=H2020`
`format`	Response format	`format=json` or `format=xml`
`size`	Results per page	`size=50` (max 100)
`page`	Page number	`page=2`
`sortBy`	Sort order	`sortBy=resultdateofacceptance,descending`

Python Usage

import requests

BASE_URL = "https://api.openaire.eu"

def search_publications(keywords: str, open_access: bool = False,
                         from_date: str = None, size: int = 20) -> list:
    """Search OpenAIRE publications."""
    params = {
        "keywords": keywords,
        "format": "json",
        "size": size
    }
    if open_access:
        params["openaccessonly"] = "true"
    if from_date:
        params["fromDateAccepted"] = from_date

    resp = requests.get(f"{BASE_URL}/search/publications", params=params)
    resp.raise_for_status()
    data = resp.json()

    results = []
    for item in data.get("response", {}).get("results", {}).get("result", []):
        metadata = item.get("metadata", {}).get("oaf:entity", {}).get("oaf:result", {})
        title = metadata.get("title", {})
        if isinstance(title, dict):
            title = title.get("$", "")
        results.append({
            "title": title,
            "doi": metadata.get("pid", [{}])[0].get("$", "") if metadata.get("pid") else None,
            "date": metadata.get("dateofacceptance", {}).get("$", ""),
            "description": metadata.get("description", {}).get("$", "")[:300] if metadata.get("description") else None
        })
    return results

# Example: find recent open access papers on climate
pubs = search_publications("climate resilience urban", open_access=True, from_date="2024-01-01")
for p in pubs:
    print(f"[{p['date']}] {p['title']}")

Unique Capabilities

Project-output linking: Trace which publications came from which EU grant
Cross-entity relationships: Publications ↔ Datasets ↔ Software ↔ Projects ↔ Organizations
Deduplication: OpenAIRE deduplicates records from multiple sources (Crossref, PubMed, arXiv, institutional repos)
Open access monitoring: Track OA compliance for funded research
175M+ research products from 120,000+ data sources