Searchsmart.org: Guiding Researchers to the Best Databases and Search Systems for Systematic Reviews and Beyond
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| Title: | Searchsmart.org: Guiding Researchers to the Best Databases and Search Systems for Systematic Reviews and Beyond |
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| Language: | English |
| Authors: | Michael Gusenbauer (ORCID |
| Source: | Research Synthesis Methods. 2024 15(6):1200-1213. |
| Availability: | Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us |
| Peer Reviewed: | Y |
| Page Count: | 14 |
| Publication Date: | 2024 |
| Intended Audience: | Researchers |
| Document Type: | Journal Articles Reports - Descriptive |
| Descriptors: | Researchers, Research Methodology, Research Skills, Research Tools, Databases, Information Retrieval, Search Strategies, Open Educational Resources, Open Source Technology, Search Engines, Computer Software Reviews |
| DOI: | 10.1002/jrsm.1746 |
| ISSN: | 1759-2879 1759-2887 |
| Abstract: | When searching for scholarly documents, researchers often stick with the same familiar handful of databases. Yet, just beyond these limited horizons lie dozens of alternatives with which they could search more effectively, whether for quick lookups or thorough searches in systematic reviews or meta-analyses. Searchsmart.org is a free website that guides researchers to particularly suitable search options for their particular disciplines, offering a wide array of resources, including search engines, aggregators, journal platforms, repositories, clinical trials databases, bibliographic databases, and digital libraries. Search Smart currently evaluates the coverage and functionality of more than a hundred leading scholarly databases, including most major multidisciplinary databases and many that are discipline-specific. Search Smart's primary use cases involve database-selection decisions as part of systematic reviews, meta-analyses, or bibliometric analyses. Researchers can use up to 583 criteria to filter and sort recommendations of databases and the interfaces through which they can be accessed for user-friendliness, search rigor, or relevance. With specific pre-defined filter settings, researchers can quickly identify particularly suitable databases for Boolean keyword searching and forward or backward citation searching. Overall, Search Smart's recommendations help researchers to discover knowledge more effectively and efficiently by selecting the more suitable databases for their tasks. |
| Abstractor: | As Provided |
| Entry Date: | 2024 |
| Accession Number: | EJ1447363 |
| Database: | ERIC |
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| Abstract: | When searching for scholarly documents, researchers often stick with the same familiar handful of databases. Yet, just beyond these limited horizons lie dozens of alternatives with which they could search more effectively, whether for quick lookups or thorough searches in systematic reviews or meta-analyses. Searchsmart.org is a free website that guides researchers to particularly suitable search options for their particular disciplines, offering a wide array of resources, including search engines, aggregators, journal platforms, repositories, clinical trials databases, bibliographic databases, and digital libraries. Search Smart currently evaluates the coverage and functionality of more than a hundred leading scholarly databases, including most major multidisciplinary databases and many that are discipline-specific. Search Smart's primary use cases involve database-selection decisions as part of systematic reviews, meta-analyses, or bibliometric analyses. Researchers can use up to 583 criteria to filter and sort recommendations of databases and the interfaces through which they can be accessed for user-friendliness, search rigor, or relevance. With specific pre-defined filter settings, researchers can quickly identify particularly suitable databases for Boolean keyword searching and forward or backward citation searching. Overall, Search Smart's recommendations help researchers to discover knowledge more effectively and efficiently by selecting the more suitable databases for their tasks. |
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| ISSN: | 1759-2879 1759-2887 |
| DOI: | 10.1002/jrsm.1746 |
