Scientific Publishing

Scientific misconduct, a concerning trend on the rise, raises questions about the nature and trustworthiness of research. It has implications for society as fraudulent science hurts progress. Premium academic journals take a stand by issuing expressions of concern about papers suspected of containing falsified, manipulated, or non-reproducible data. The paper is retracted if proven to harbour an integrity flaw via an investigation. These actions underscore the importance of upholding transparency by correcting the scientific record.

Vlog by Professor Khalid Khan explains how predatory publishing exploits authors by prioritising financial gain over the integrity of scientific research. These journals target authors with the promise of quick publication, often preying on inexperienced researchers who may not be familiar with standard publishing practices. In many cases, these journals lack proper peer review processes, putting the credibility of the published work at risk. Can an article published by a predatory journal be withdrawn? Authors who realize they have been tricked by predatory journals often face challenges when trying to withdraw their submissions. Legal threats and demands for compensation by predatory journals can deter them from disassociating themselves from these unscrupulous practices. This situation not only undermines genuine research efforts but also poses a threat to the scientific community's trust and progress. Can genuine journals offer a solution to legitimate authors who have been tri...

Usefulness of health research: This vlog is presented by Professor Khalid Khan and Dr Janneke van 't Hooft.

Writing case reports can be a pivotal entry point into the world of medical research publications. These concise reports shed light on clinical cases, showcasing new diagnoses, unconventional outcomes, innovative therapies, and rare treatment side effects. Medicine is an art of unpredictability, where individual cases may defy traditional management principles. Despite the best available treatments, outcomes can vary widely. This unpredictability challenges healthcare practitioners to avoid drawing causal inferences based solely on case evidence. The evolution of numerical methods in patient-centred research, specifically clinical epidemiology, equips clinicians with essential tools to navigate this inherent unpredictability.