--- name: database-comparison-guide description: "Compare major academic databases and when to use each for research" metadata: openclaw: emoji: "🗄️" 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.