Skip to content
Back to skills

Database Comparison Guide

ASecurity

Compare major academic databases and when to use each for research

  • 3,639 stars
  • 0 votes
  • 0 copies
  • 5 views
  • Added June 6, 2026
researchgoapidatabase

Works with

  • cli
  • api

Security analysis

A100/100

Scanned June 6, 2026

npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill database-comparison-guide --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Database Comparison Guide?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Database Comparison Guide
[![Security: A β€” Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-database-comparison-guide/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-database-comparison-guide)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: database-comparison-guide
description: "Compare major academic databases and when to use each for research"
metadata:
  openclaw:
    emoji: "πŸ—„οΈ"
    category: "literature"
    subcategory: "search"
    keywords: ["academic database search", "scholarly database", "search strategy", "field-specific search"]
    source: "wentor-research-plugins"
---

# Database Comparison Guide

A comprehensive reference for choosing and querying the right academic database for your research domain, including coverage details, advanced operators, and cross-database strategies.

## Overview of Major Academic Databases

| Database | Coverage | Disciplines | Access Model | Unique Strength |
|----------|----------|-------------|--------------|-----------------|
| Web of Science | 1900-present, 21,000+ journals | Multidisciplinary | Subscription | Citation indexing, Journal Impact Factor |
| Scopus | 1970-present, 27,000+ journals | Multidisciplinary | Subscription | Largest abstract/citation DB, CiteScore |
| PubMed | 1946-present, 35M+ records | Biomedical, life sciences | Free | MeSH controlled vocabulary, clinical filters |
| IEEE Xplore | 1872-present, 6M+ docs | Engineering, CS | Subscription | Conference proceedings, standards |
| Google Scholar | Broad, undisclosed | All fields | Free | Widest coverage, full-text indexing |
| JSTOR | Historical archives | Humanities, social sciences | Subscription | Historical journal runs, primary sources |
| arXiv | 1991-present, 2.4M+ papers | Physics, CS, Math, Bio | Free | Preprints, no peer-review delay |
| SSRN | 1994-present | Social sciences, law | Free | Working papers, early-stage research |

## Field-Specific Database Selection

### STEM Fields

For physics, computer science, and mathematics, combine arXiv preprints with Web of Science indexed journals:

```
# arXiv API query for recent ML papers
curl "http://export.arxiv.org/api/query?search_query=cat:cs.LG+AND+ti:transformer&start=0&max_results=25&sortBy=submittedDate&sortOrder=descending"
```

For biomedical research, PubMed with MeSH terms provides the most precise retrieval:

```
# PubMed E-utilities search with MeSH
curl "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi?db=pubmed&term=%22machine+learning%22[MeSH]+AND+%22drug+discovery%22[MeSH]&retmax=50&sort=date"
```

### Social Sciences and Humanities

- **Economics/Business**: Scopus + SSRN + RePEc (for working papers)
- **Psychology**: PsycINFO (APA) + PubMed
- **Law**: Westlaw + SSRN + HeinOnline
- **History/Literature**: JSTOR + Project MUSE + MLA International Bibliography

## Advanced Search Operators by Database

### Web of Science

```
TS=("deep learning" AND "drug discovery") AND PY=(2020-2025)
# TS = Topic (title + abstract + keywords)
# PY = Publication Year
# Use NEAR/x for proximity: TS=("climate" NEAR/3 "adaptation")
```

### Scopus

```
TITLE-ABS-KEY("deep learning" AND "drug discovery") AND PUBYEAR > 2019
# Additional operators:
# AUTHLASTNAME(smith) AND AUTHFIRST(j*)
# AFFIL("MIT" OR "Massachusetts Institute of Technology")
# REF("seminal paper title")
```

### PubMed

```
"deep learning"[Title/Abstract] AND "drug discovery"[Title/Abstract]
AND ("2020/01/01"[Date - Publication] : "2025/12/31"[Date - Publication])
# Use filters: Clinical Trial[pt], Review[pt], Free Full Text[Filter]
```

## Cross-Database Search Strategy

A robust literature search should query multiple databases to maximize recall:

1. **Define your research question** using PICO (Population, Intervention, Comparison, Outcome) or PCC (Population, Concept, Context) frameworks.
2. **Identify controlled vocabulary** for each database (MeSH for PubMed, Emtree for Embase, Thesaurus for PsycINFO).
3. **Build search strings** combining controlled vocabulary with free-text synonyms using Boolean operators.
4. **Execute searches** across at least 2-3 databases relevant to your field.
5. **Deduplicate results** using reference managers (Zotero, EndNote) or tools like Covidence.
6. **Document your search** with database, date, exact query string, and result count for reproducibility.

## Practical Tips

- **Scopus vs. Web of Science**: Scopus has broader coverage (especially post-2000 and non-English journals); WoS has deeper historical archives and the Journal Impact Factor.
- **Google Scholar** finds the most results but lacks advanced filtering. Use it for snowball searches and finding grey literature, not as your primary systematic search tool.
- **API access**: PubMed (E-utilities), OpenAlex, and Crossref all offer free APIs for programmatic searching. Scopus and WoS require institutional API keys.
- **Alert services**: Set up saved search alerts on PubMed, Scopus, and Google Scholar to stay current in fast-moving fields.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.