AutoResearch streamlines the literature search and management process for students, researchers and practitioners. It provides a systematic, efficient, and user-friendly approach for:
- Keyword Recommender: Conducts term mapping with scientific databases based on input keywords and recommends a list of similar and related scientific terms.
- Search String Creator: Generates accurate search strings with input criteria, including recommendations for British and American spellings, singular and plural forms, synonyms, and related terms.
- Reference Management: Automatically removes duplications and filters out entries with missing fields, ensuring a clean and organized reference list for further analysis.
- Reference Extraction: Exports selected references into various citation formats, such as RIS, BibTex, and XML, facilitating easy integration into research documents.
- Literature search reporting: Generates comprehensive reports summarizing the search process. These reports include metrics such as the number of sources identified, keywords used, search strings applied, and the final selection of pertinent literature. This feature enhances transparency and reproducibility in research, providing a clear audit trail of the literature search strategy employed.
Impact of AutoSearch:
- Enhanced Familiarization: Helps students, researchers, and practitioners quickly become acquainted with domain-specific terminology, making searches in unfamiliar fields more efficient.
- Accurate Search Strings: Ensures correct use of Boolean operators, preventing errors that lead to unexpected search results.
- Time Efficiency: Simplifies the literature review process by compiling abstracts and relevant text into accessible formats.
- Focused Research: Streamlines the extraction of pertinent information, aiding in organized and methodical literature analysis.
Principal investigator:
Development team: development and maintaining by ,
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