Behind every dataset involving human subjects is a life that does not end at the margins of a journal article. A voice. A memory. A risk taken in trust. Research involving human subjects, especially when it touches on sensitive topics such as trauma, health, politics, identity, conflict, or marginalization, demands more than methodological rigor. […]
Data integrity is one of the most cardinal points of focus in the subject of research, as this tells on the validity of the research as well as the credibility of the researcher. This focuses on a few questions: Is the data genuine? Is the data accurate? Is the data reliable? Data lifecycle comprises the sequence […]
Mistakes are a natural part of being human. As the saying goes, no one is above mistakes, and that truth extends fully into academic research and scholarly publishing. Every researcher, editor, and reviewer is continually learning, refining judgment, and adapting to new standards in order to reduce error. Yet not all mistakes are the same. […]
Most people hear the word plagiarism and immediately think of one thing: copying someone else’s sentences word for word. Simple, right? But every editor, reviewer, and seasoned researcher knows the truth: plagiarism in academic writing goes far deeper than text duplication. It hides in ideas, in structure, in reasoning, and even in the invisible decisions […]
AI tools have become a quiet companion in many writing desks, from grammar checkers and paraphrasers to idea generators and even research assistants. Students use them. Researchers use them. Editors use them. And whether we admit it or not, they’ve changed how we approach academic writing. But with every new tool comes a big question: […]