You have probably run into the phrase in a report, a webinar, or a colleague’s slide deck. Research on research sounds circular at first, but the idea behind it is simple and useful.<\/p>\n\n\n\n
It means stepping back from a single study and looking at everything that has already been written on a topic. Researchers, marketers, and academics use it to spot patterns, catch contradictions, and avoid repeating work that has already been done.<\/p>\n\n\n\n
This guide breaks down what research on research actually means, how it differs from related terms like meta-analysis, and how to do it yourself without getting lost in the literature.<\/p>\n\n\n\n\n\n
Research on research is the practice of reviewing existing studies on a topic to identify common findings, disagreements, and gaps in the evidence. It is also known in academic circles as meta-research or metascience.<\/p>\n\n\n\n
Anyone who reads several journal articles or industry reports to answer one question is technically doing research on research. A market researcher checking published studies on survey response rates before working on questionnaire design<\/a> is doing the same thing as an academic reviewing decades of psychology papers.<\/p>\n\n\n\n The practice has been formalized by researchers such as Stanford’s John Ioannidis, whose foundational paper on meta-research<\/a> describes it as the study of research itself, covering its methods, reporting, reproducibility, evaluation, and incentives. That framing matters because it treats research as something that can be measured and improved, not just trusted at face value.<\/p>\n\n\n\n These three terms get mixed up constantly, and the confusion causes real problems when someone cites the wrong method in a report. Each one answers a different question.<\/p>\n\n\n\nResearch on research vs meta-analysis vs secondary research<\/strong><\/h2>\n\n\n\n