4.2 Database Search - Comprehensive Study Notes

4.2. Database Search: Overview of Tools and Plagiarism Risk

• Quick overview of search engines and access portals used in academic research:
  • BASE: Special search engine of the University of Bielefeld; interdisciplinary.
  • ECONBiz: Research portal for economics; filters for full texts, articles from professional journals, working papers (open access), books, and essays.
  • Google Scholar: Google’s academic search engine; supports advanced searches and shows citation counts to help assess article quality.
  • Karlsruhe Virtual Catalog (KVK): Metacatalog that searches libraries, bookstores, and electronic sources simultaneously; useful for an initial topic overview.
• Plagiarism risk and detection:
  • Easy online access to texts increases risk of copying work without credit.
  • Technology makes plagiarism easier to detect; many universities use plagiarism detection tools and enforce penalties.
  • Example: IU uses Turnitin to check all submitted work (Saunders et al., 2019).
  • If Turnitin finds plagiarism, it is considered an attempt to cheat under the General Examination Regulations (APO) and may result in a grade of unsatisfactory and failure.
• Key references for context:
  • Saunders et al., 2019 on Turnitin and APO penalties.
  • General background on library and database search strategies referenced throughout (as cited in the transcript).

4.2. Database Search: Basic to Advanced Search and Terminology

• Open-Access.net: Freely accessible sources organized by subject (example subjects include economics, business, psychology).
• Library catalogs and databases:
  • Library catalogs often list books and journals; may include journal articles as well.
  • Entries can be detailed, showing keywords, table of contents, etc. (Saunders et al., 2019, p. 115).
• Databases vs. search engines:
  • Some databases allow full-text search of journal articles, newspapers, e-books, statistics, company information, etc.; others provide only references.
  • Most databases are organized by topic to facilitate searching.
• Search language and basic search:
  • Every system has its own search language; simplest searches involve typing a word or phrase and pressing search.
  • Basic search box usage is common across platforms and often uses a magnifying glass icon to execute the search.
• Advanced search concepts:
  • Advanced Search enables combining several search terms, limiting to specific fields, and adding filters for more precise results.
  • Figures referenced in the course show practical field layouts for basic and advanced search interfaces (e.g., IU EBSCO Discovery Service).
• Practical takeaway:
  • Start with simple terms, then progressively use advanced features to refine results.

4.2. Database Search: Boolean Operators and Search Logic

• Boolean search operators commonly used in databases:
  • AND: narrows search by requiring both terms to appear in results.
  • OR: broadens search to include results containing either term (useful for synonyms or different spellings).
  • NOT: excludes results containing the second term (exclusion search).
• Examples illustrating operator effects (as described in the figures):
  • Europe AND Germany yields results containing both terms (intersection).
  • Behavior OR Behaviour yields results containing either spelling of the term (union).
  • Europe NOT Germany yields results that contain Europe but exclude Germany (exclusion).
• Truncation and masking:
  • Truncation replaces word endings with a wildcard symbol to broaden a search (example: europ* finds Europa, Europe, European).
  • Masking replaces a single character to capture spelling variants (example: Ma?er finds Maier and Mayer).
  • Each database explains which symbols to use for truncation and masking.
• Phrase search:
  • Using quotation marks searches for exact word order and exact phrases (useful for specific titles or quotes).
• Filtering and facets:
  • Many databases provide filters or facets to narrow results by subject, year, publication type, etc., improving relevance and manageability.
• Illustrative references:
  • Figure 4: Basic search engine fields; Figure 5: Advanced search fields; Figure 6: AND operator; Figure 7: OR operator; Figure 8: NOT operator; Figure 9: Filter and faceting options (IU EBSCO Discovery Service).

4.2. Database Search: Practical Symbols and Operator Variations

• Important caveat:
  • Not all operators (AND, OR, NOT, *, ?, ")+" work the same across every database or search engine.
  • Some databases have additional operators or options; always consult the help or FAQ for specific syntax (Bramer et al., 2018).
• Summary of operator behavior:
  • AND restricts results to items containing all terms.
  • OR expands results to include either term (useful for spelling variants and synonyms).
  • NOT excludes results containing the second term.
  • Truncation with * broadens terms; masking with ? replaces a single character.
  • Phrase search with quotation marks enforces exact word order.

4.2. Database Search: Four-Step Search Strategies (Core Process)

• The four main steps of search strategies (Ecker & Skelly, 2010): 1) Formulate a clear question you want to answer. 2) Choose a database (eg, LIS portal, field-specific databases). 3) Enter keywords or phrases into the search box. 4) Refine your search using techniques:
  • Replace general terms with more specific terms.
  • Combine terms with Boolean operators (AND, OR, NOT).
  • Use truncation or wildcards (*, ?).
• Post-search steps:
  • Apply database filters (eg, year, language, publication type).
  • If results are too few or irrelevant, broaden or change terms.
  • Snowball search (Florida Atlantic University, 2022): start from a known relevant source, check its references (backward search) or find articles that cite it (forward search), and use keywords from the source to locate more literature.
• Strategy integration:
  • A good search strategy often combines different approaches (basic search, advanced search, snowballing, filtering).
• Documentation for transparency and efficiency:
  • Document search terms and steps to ensure reproducibility.
  • Turn essential terms into keywords, including synonyms, antonyms, abbreviations, and spelling variations (British vs. American English).
  • Use thesauri to identify related, narrower, or broader terms (Bramer et al., 2018).
  • Keywords from relevant sources can inspire additional search terms (Florida Atlantic University, n.d.).
• Practice and collaboration:
  • It is normal to practice and refine search skills.
  • Consulting academic supervisors and trying different databases improves strategy.
  • Library teams, such as LIS at IU, can provide support.

4.2. Database Search: Evaluating and Selecting Sources

• Evaluating results is essential before including literature (CRAAP Test):
  • Currency: Is it up-to-date?
  • Relevance: Does it answer your question?
  • Authority: Who wrote it? Are they credible?
  • Accuracy: Is it reliable and checked?
  • Purpose: Why was it written?
• The CRAAP framework originated from Meriam Library, California State University Chico (2010) and is widely used to assess information quality.
• Practical takeaway:
  • Use CRAAP to triage sources before inclusion in a paper or project.

4.2. Database Search: Summary, Transparency, and Next Steps

• Following these steps helps ensure current, relevant, and high-quality academic sources for a paper.
• The instructor offers to create a clear table with all search strategies and tips, accompanied by icons for easier memorization (option presented in the material).
• Figures referenced in the material (4 to 9) illustrate search fields, operators, and filtering options visually; when practicing, refer to these visual aids in your chosen databases.

4.2. Database Search: Key Takeaways for Exam Preparation

• Use multiple search engines and databases to capture a broad set of sources.
• Start with broad terms and progressively refine using advanced search features and operators.
• Leverage truncation, masking, and phrase searches to maximize results.
• Employ filters and facets to improve relevancy and manageability of results.
• Apply the snowball method (backward and forward searching) to expand literature efficiently.
• Build a robust set of search terms including synonyms, variations, and domain-specific terminology; use thesauri for term expansion.
• Document your search process for transparency and reproducibility.
• Use CRAAP to assess the quality and relevance of sources before inclusion.
• Seek support from librarians and information services (eg, LIS at IU) when needed.

4.2. Database Search: References and Suggested Readings

• Saunders, et al., 2019: Turnitin usage and plagiarism policy context.
• Bramer, et al., 2018: Search language and operator guidance across databases.
• Florida Atlantic University, 2022: Snowball search method.
• Walden University, 2021; Oulun Yliopisto, 2022: Guidance on creating search terms and using synonyms and thesauri.
• Meriam Library, California State University Chico, 2010: CRAAP Test framework.
• Indiana University (IU) Library and Information Services (LIS): Examples of search interfaces and support resources.
• Open-Access.net, KVK, Google Scholar, BASE, ECONBiz: Example databases/tools to become familiar with during coursework.

4.2. Database Search: Quick Reference Examples (LaTeX-formatted expressions)

• Boolean AND example: $ext{Europe} \land \text{Germany}$
• Boolean OR example: $ext{Behavior} \lor ext{Behaviour}$
• Boolean NOT example (exclusion): $ext{Europe} \land <br /> eg ext{Germany}$
• Truncation example: $ext{europ*}$
• Masking example: $ext{Ma?er}$
• Phrase search example: $ext{"Behavior"}$
• Notes on operator equivalence and database-specific variants should be understood from each database's help section.

4.2. Database Search: Practice Prompt

• If you would like, the material suggests producing a clear table with search strategies and tips, with icons, to facilitate memorization and quick recall during exams.