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 Zotero and Mendeley are the two leading free reference managers. Zotero is open-source, independent, and excellent at capturing references and integrating with both Word and Google Docs — making it the best choice for most researchers who value openness and flexibility. Mendeley, owned by Elsevier, combines reference management with a strong […]
Read More →TL;DR — Quick Answer For research work in 2026, the three leading general AI assistants each have distinct strengths. Claude excels at deep reading of long documents, careful analysis, and high-quality writing. ChatGPT is strong at versatile tasks, brainstorming, and has capable data analysis features. Gemini integrates well with Google tools and handles large documents […]
Read More →TL;DR — Quick Answer Artificial intelligence (AI) is the field of building computer systems that can perform tasks normally requiring human intelligence — such as understanding language, recognising images, making decisions, and solving problems. AI includes several approaches, the most important today being machine learning, where systems learn from data. The main types are narrow […]
Read More →TL;DR — Quick Answer To prepare for a PhD viva (the oral defence of your thesis): reread your thesis thoroughly, anticipate likely questions, know your contribution and limitations inside out, prepare to defend your methodology, read your examiners’ relevant work, and practise with a mock viva. The viva tests whether the thesis is genuinely your […]
Read More →TL;DR — Quick Answer To design a research questionnaire: start from your research objectives, write clear and unbiased questions, choose appropriate question types (closed or open-ended), use established scales like the Likert scale where suitable, organise questions logically, keep it as short as possible, and always pilot test before full distribution. A good questionnaire collects […]
Read More →TL;DR — Quick Answer A research hypothesis is a clear, testable statement that predicts the relationship between two or more variables. To write one: identify your variables, state the expected relationship between them clearly and specifically, ensure it is testable and falsifiable, and ground it in existing theory or research. The main types are the […]
Read More →TL;DR — Quick Answer A research proposal is a structured document that explains what you plan to research, why it matters, and how you will do it. It is used to gain approval and funding for a research project — for PhD admission, grant applications, and ethics approval. A strong proposal includes a clear title, […]
Read More →TL;DR — Quick Answer A literature review is a critical summary and synthesis of existing research on a topic. To write one: define your scope, search systematically for relevant sources, read and evaluate them critically, organise them thematically (not source by source), synthesise the findings to show patterns and gaps, and write it as a […]
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 […]
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