Searching a repository for existing systematic reviews on your research topic before starting your own is important for several reasons:
qualitative reviews, and meta-analysis.
and policy.
Registered reviews such as systematic, scoping, and other reviews that inform education and social science interventions.
Databases are essential to forms of evidence synthesis such as narrative, scoping, systematic, and other types of reviews because they ensure comprehensive coverage of relevant studies, enhancing the reliability and validity of the review's findings.
A web-based platform designed to facilitate systematic reviews by streamlining the study selection process and data extraction.
DistillerSR is an AI-enabled software platform that automates and manages literature reviews, reducing review times and ensuring accuracy for research organizations across various industries.
A reference management tool that helps organize and manage citations and references for systematic reviews.
Artificial intelligence (AI) has expanded these past few years to perform many functions related to Evidence Synthesis:
However, researchers must consider journal policies on the use of artificial intelligence tools in evidence synthesis publications with emphasis on transparency, human oversight, and whether AI use is allowed.
Evidence synthesis is the process of gathering, combining, and analyzing data from multiple studies to generate a comprehensive understanding of a particular topic or research question. It involves systematically reviewing and integrating findings from different sources to draw conclusions, identify patterns, and provide recommendations based on the collective evidence.
Keywords: critical appraisal, data extraction, evidence-based practice, evidence synthesis, exclusion criteria, grey literature, inclusion criteria, literature review, meta-analysis, publication bias, quality assessment, quantitative synthesis, randomized controlled trials (RCTs), research synthesis, review protocol, risk of bias, scoping review, statistical analysis, systematic review
The history of evidence synthesis dates back over a century, with significant developments occurring in the last few decades. Initially, evidence synthesis methods like systematic reviews were primarily used in medicine to assess treatment effects. Over time, these methods evolved to incorporate statistical techniques, enhancing their scientific rigor.
The 1990s saw a pivotal shift with the establishment of organizations like the Cochrane Collaboration, which standardized and promoted systematic reviews globally.
Today, evidence synthesis is widely used across various fields, including engineering, to provide comprehensive insights and inform decision-making.
Here are some of the more common methods of evidence synthesis used in engineering:
Evidence synthesis has traditionally been more common in fields like medicine, social sciences, and public policy. However, methods such as scoping reviews and systematic reviews are indeed becoming increasingly popular in various engineering fields.
Literature Reviews: Comprehensive summary of existing research and knowledge on a particular topic, synthesizing insights from various sources into a coherent overview.
Scoping Reviews: A type of research synthesis that maps key concepts, evidence, and gaps in a field to provide an overview of the available literature.
Systematic Reviews: Rigorous evaluations of all relevant studies on a specific topic, following a standardized methodology.
Meta-Analyses: Statistical techniques that combine the results of multiple studies to identify overall trends and effect sizes.
Question: Is My S/R a Manuscript for Publication Or a Graduate Assignment?
Producing a Systematic Review for Journal Publication:
PI or Faculty Advisor Assigned Systematic Review Assignments:
Publishes systematic reviews and other evidence synthesis methods related to engineering education.
Includes systematic reviews and meta-analyses on engineering management topics.
A peer-reviewed journal publishing research on advanced computing methods for engineering, including reviews to enhance decision-making and creativity.