A smart city uses innovation and technology to address urban challenges, improve the effectiveness of public services, make the city more liveable and sustainable. To achieve these, open data is an essential foundation.

As a researcher, sometimes you may need to share your data to meet publishers’ or funders’ requirement, but the process of preparing your data can be tedious and time-consuming. In this regard, DataSpace@HKUST can help.

Library Research Support Services recently did a small-scale study to learn about the text and data mining (TDM) policies of some of our databases. We found that most of them allow TDM under certain conditions.

In August 2020, arXiv announced its entire corpus consisting 1.7 million scholarly articles is available as a free dataset on Kaggle.

Different people and groups in the research community are working on making data management plan (DMP) machine-actionable.

Different from Google Scholar, Semantic Scholar uses AI to extract meaning from research literature. It helps researchers to explore literature in a new way.

With just one click, you can find out how many papers Hong Kong has published from 1996-2018, citations per document, the H Index and world ranking.

CORD-19 is a free dataset with over 45,000 scholarly articles about COVID-19 and related coronavirus to support researchers in fighting against the pandemic.

Data Management Plan (DMP) is becoming a popular tool for research management. HKUST researchers can now write DMPs using the DMP SandBox, an online platform the Library is piloting.

What does the story Alice’s Adventures in Wonderland “look” like to a digital text analyzer? Let’s find out using the free text-mining tools Voyant!