share-research-api
Discover open access research outputs via the SHARE notification API
Best use case
share-research-api is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Discover open access research outputs via the SHARE notification API
Teams using share-research-api should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/share-research-api/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How share-research-api Compares
| Feature / Agent | share-research-api | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Discover open access research outputs via the SHARE notification API
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```bash
# 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
```python
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
- [SHARE](https://share.osf.io/)
- [SHARE API Documentation](https://share.osf.io/api/v2/)
- [Center for Open Science](https://cos.io/)Related Skills
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