4 | Further training needed?

Recommended (advanced) training guides on systematic literature searching, responsible AI use in evidence synthesis, and more

Recommended online guides through the systematic searching process

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This fourth module from a series on systematic reviews explores how to search for relevant literature.
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This guide provides a step-by-step approach to systematic searching of the literature, with special tips for the search syntax …
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Online guide covering all the steps of a comprehensive search.
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Community-betriebenes Informationsportal zur systematischen Literaturrecherche (Rechercheschritte, Datenbankübersicht, Glossar,…

Use of Artificial Intelligence (AI) in Evidence Synthesis

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Group aiming to define best practice and ensure guidance on responsible AI use in evidence synthesis (Cochrane, the Campbell Co…
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Project to develop guidance and recommendations for the responsible use of Artificial Intelligence (AI) in evidence synthesis
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Comprehensive overview of background, tools, research and webinars covering the topic of artificial intelligence (AI) inthe evid
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Aaron Tay's blog, “Musings about Librarianship” covers topics including artificial intelligence (AI) in search and discovery, th

Study Designs and Review Types

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Comprehensive overview of study designs (guides about the principles of study design, qualitative studies, and quantitative stu…
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The different review types explained (systematic review, scoping review, rapid review, etc.)
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Tool designed to provide guidance and supporting material to reviewers on methods for the conduct and reporting of knowledge sy…
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If you are unsure what kind of review is most appropriate for your question, timeframe, or resources,follow this decision tree.

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Die häufigsten Begriffe in der Systematischen Literaturrecherche, alphabetisch geordnet und verständlich erklärt von Marc von G…
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This is a compendium for the field of systematic literature searching. It contains technical terms, methods and background info…
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Das Glossar des EbM-Netzwerks verfolgt den Zweck, Fachbegriffe der evidenzbasierten Medizin besser verständlich zu machen.