Share research api
Discover open access research outputs via the SHARE notification APIFrom its SKILL.md
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SKILL.md
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SHARE Research API
Overview
SHARE (SHared Access Research Ecosystem) aggregates metadata from 200+ research repositories, preprint servers, and publishers into a unified search API. Operated by the Center for Open Science, it tracks research outputs as they move through the scholarly communication cycle — from preprint to publication. Free, no authentication for search.
API Endpoints
Base URL
https://share.osf.io/api/v2
Search
# Text search across all sources
curl "https://share.osf.io/api/v2/search/creativeworks/?q=climate+change&page[size]=20"
# Filter by type
curl "https://share.osf.io/api/v2/search/creativeworks/?q=neural+networks&filter[type]=preprint"
# Filter by source
curl "https://share.osf.io/api/v2/search/creativeworks/?q=genomics&filter[sources]=PubMed+Central"
# Filter by date
curl "https://share.osf.io/api/v2/search/creativeworks/?q=COVID-19&filter[date][gte]=2024-01-01"
# Filter by tag/subject
curl "https://share.osf.io/api/v2/search/creativeworks/?q=machine+learning&filter[tags]=deep+learning"
Query Parameters
| Parameter | Description | Example |
|---|---|---|
q | Search query | q=CRISPR |
filter[type] | Output type | preprint, article, dataset, thesis |
filter[sources] | Source repository | PubMed Central, arXiv, Zenodo |
filter[date][gte] | From date | 2024-01-01 |
filter[date][lte] | Until date | 2026-12-31 |
filter[tags] | Tag filter | open+data |
page[size] | Results per page | page[size]=50 |
sort | Sort order | -date_updated |
Available Sources (200+)
| Source | Type |
|---|---|
| arXiv | Preprints |
| PubMed Central | Biomedical articles |
| Zenodo | Multi-discipline repository |
| Figshare | Data/figures |
| SSRN | Social science preprints |
| DataCite | Research data |
| Institutional repositories | Various |
Python Usage
import requests
BASE_URL = "https://share.osf.io/api/v2"
def search_share(query: str, output_type: str = None,
source: str = None,
from_date: str = None,
page_size: int = 20) -> list:
"""Search SHARE for research outputs."""
params = {"q": query, "page[size]": page_size}
if output_type:
params["filter[type]"] = output_type
if source:
params["filter[sources]"] = source
if from_date:
params["filter[date][gte]"] = from_date
resp = requests.get(
f"{BASE_URL}/search/creativeworks/",
params=params,
)
resp.raise_for_status()
data = resp.json()
results = []
for item in data.get("data", []):
attrs = item.get("attributes", {})
results.append({
"title": attrs.get("title"),
"description": (attrs.get("description") or "")[:300],
"type": attrs.get("type"),
"date": attrs.get("date_updated", "")[:10],
"sources": attrs.get("sources", []),
"tags": attrs.get("tags", []),
"identifiers": attrs.get("identifiers", []),
})
return results
# Example: find recent preprints on a topic
preprints = search_share(
"transformer architecture",
output_type="preprint",
from_date="2024-01-01",
)
for p in preprints[:5]:
print(f"[{p['date']}] {p['title']}")
print(f" Type: {p['type']} | Sources: {', '.join(p['sources'][:3])}")
References
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.