Reference & Guides brings together dependable explanatory articles that researchers and professionals can cite and return to. This collection covers citation styles, plagiarism and academic integrity, peer review, research databases such as Scopus and Web of Science, data science, and other essential reference topics. Each guide is written to be accurate, clear, and practically useful — a reliable first stop when you need to understand a concept properly or check how something is done. Whether you are a student building good academic habits or a professional needing a trustworthy reference, these guides are designed to inform, clarify, and support sound scholarly practice.
TL;DR — Quick Answer In this article, Dr. Madhuri Kanojiya reflects on writing literary fiction under the pen name Dr. M. K. Wise, alongside her academic non-fiction. She explores why an author might adopt a pen name, how separating two bodies of work can free each to be itself, the very different demands of fiction […]
Read More →TL;DR — Quick Answer In this article, Dr. Madhuri Kanojiya shares the experience of founding Empire Research Press, an international research and publishing consultancy, and building it from the ground up. The lessons cover defining what you genuinely offer, building credibility before clients, the value of combining complementary services, why your own expertise is the […]
Read More →TL;DR — Quick Answer Research objectives are clear, specific statements of what a study aims to achieve. To write them: derive them from your research question, make each one specific and focused, use action verbs (to examine, to determine, to analyse), ensure they are achievable and measurable, and align them with your overall aim. Most […]
Read More →TL;DR — Quick Answer Citing sources means giving credit to the works you use in your research through in-text citations and a reference list. The main citation styles are APA (social sciences), MLA (humanities), Chicago (history and some humanities), Harvard (widely used internationally), and Vancouver (medicine and sciences). To cite correctly: identify your style, cite […]
Read More →TL;DR — Quick Answer Plagiarism is presenting someone else’s words, ideas, or work as your own without proper attribution. It includes copying text, paraphrasing without crediting, using someone’s ideas without acknowledgement, and submitting others’ work as your own. The main types are direct, paraphrasing, self, mosaic, and accidental plagiarism. To avoid it: always cite your […]
Read More →TL;DR — Quick Answer Scopus and Web of Science are the two largest and most respected academic citation databases. Web of Science is older, more selective, and home to the Journal Impact Factor — it is often considered the more prestigious. Scopus has broader coverage, including more journals and disciplines, and uses the CiteScore and […]
Read More →TL;DR — Quick Answer Data science is the field that uses scientific methods, statistics, programming, and domain knowledge to extract meaningful insights from data. A data scientist collects, cleans, analyses, and interprets data to answer questions, predict outcomes, and support decisions. The core skills are statistics, programming (usually Python or R), data visualisation, and domain […]
Read More →TL;DR — Quick Answer A systematic literature review is a rigorous, structured method of identifying, evaluating, and synthesising all the relevant research on a specific question, following a transparent and reproducible process. Unlike a traditional literature review, it uses predefined criteria, a documented search strategy, and systematic screening to minimise bias. The main stages are […]
Read More →TL;DR — Quick Answer Peer review is the process by which a research paper is evaluated by independent experts in the same field before it is published. These experts — called peer reviewers — assess the paper’s originality, methodology, accuracy, and contribution to knowledge, then recommend whether it should be accepted, revised, or rejected. Peer […]
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