Research data management doesn’t have to be monotonous and tedious. Today we’d like to introduce six games that offer a fun and engaging approach to learning about research data management.

Conducting literature reviews can be a daunting and time-consuming task. Last week, HKUST Library offered a workshop introducing the latest AI tools that can assist in this process. This post shares the key highlights from the workshop.

Now in its eighth year, the State of Open Data is the longest running longitudinal survey on researchers’ attitudes towards open data and open science practices. What does the 2023 survey tell us?

Recently, Google launched the Google Scholar PDF Reader as a Chrome browser extension. This convenient tool offers a range of features that enhance the way we interact with scholarly articles and documents.

AI's ability to quickly generate article summaries from a single question is always fascinating. The paragraphs are often well structured, and many do include real sources. But how accurate is the generated content?

The Library now provides a trial on Scopus AI, a built-in function within the Scopus platform that accepts queries in natural language and provides concise AI-generated summaries. Try it out. Your feedback is needed!

Citation counts are widely used to assess the impact and influence of research. Google Scholar, a popular platform for retrieving citation data, has recently come under scrutiny once again for concerns over its manipulability.

Exploring the research landscape of an institution has often meant turning to traditional academic databases like Web of Science or Scopus for publication information. However, open data is changing how we understand research.

Generative AI can revolutionize scholarly communication by breaking down technical, language, disciplinary, and practical barriers.