HKUL Scholarly Communication Services, Author at Researcher Connect

A Comparative Approach to Explore HKU Publication Trends Using Data from OpenAlex and Peer Databases

— Vivian Qiu, Florence Ng The accelerating adoption of open science practices has driven the emergence of digital tools or platforms that enable openness in research. These tools greatly enhanced the accessibility and transparency of scholarly publications and relevant data. In our previous blog post released in 2022, we introduced OpenAlex, an open catalog of…

Visual Discovery Tools for Digitized Primary Sources: Gale Primary Sources

— by Y. Y. Kwan Primary sources are original historical documents from the past. Many primary sources are available in digitized format today, including Gale Primary Sources, the online platform of the US publisher Gale. HKU Libraries has access to over 30 historical archives from Gale covering various time periods and types of material, including…

Text Analysis II: Exploring Voyant Tools with an AI-Generated Sample

— by Katherine Choi, Kayla Ng, Terry Chung Last time we briefly introduced text analysis and its applications. In this post, we will explore text analysis using Voyant Tools, a web-based platform known for its analytical capabilities. We will be working with an AI-generated short novel, “A Whisper in the Wind”, as our sample text.…

Text Analysis I: Unlocking the Power of Text Analysis

— by Katherine Choi, Kayla Ng, Terry Chung In today’s post, we delve into the fascinating world of text analysis. Text analysis is the process of examining and understanding the structure and content of written works. By identifying patterns, themes, and relationships within a text, text analysis provides insights into the author’s intentions, the intended…

Top HKU Researchers in Research.com Rankings 2024

— by Yijing He, Zesen Gao, Florence Ng The University of Hong Kong (HKU) takes pride in its distinguished scholars and researchers who excel across various fields of expertise. In our previous blog post, we reported a brief analysis on how HKU researchers were named in 2022 on an educational platform Research.com. This year, Research.com…

Presenting Research Impact: Metrics, Misuse, and Movement

— by Fanny Liu Introduction Research metrics are quantitative measurements designed to evaluate research outputs and impacts (Wilsdon, 2015). They consist of different measures and statistical methods for assessing the quality and impact of research. Traditionally, research metrics (bibliometrics) focuses on the quantitative analysis of research outputs, most commonly scholarly publications. The most extensively utilized…

Data Management Plans as a Key to Effective Research Data Management

— by Florence Ng Stepping into the data-driven era, managing research data is crucial for ensuring the integrity, accessibility, and long-term usability of valuable research findings. When it comes to research data management, writing a Data Management Plan (DMP) is recognized as the foundational act in implementing effective strategies to collect, organize, store, curate, and…

Research tools to analyze Chinese language texts

— by Jacky Li Digital humanities has become increasingly prominent in recent years with significant resources being invested in digital preservation and large-scale applications for digital humanities projects. Although it does not necessarily lead to a paradigm shift in humanities studies, as traditional research methods have their accumulated values and numerous academic achievements, digital humanities…

Data Cleaning: What and How

— by Vivian Qiu In addition to data collection, data cleaning is another crucial process to lay the foundation for data analysis. Researchers may face challenges related to data quality, reusability, and obtaining reliable insights from the collected data. In this blog post, we would introduce some practical skills and tools for data cleaning to…

Web Scraping: Efficient Data Collection from the Web

— by Vivian Qiu In March – May 2024, the HKU Libraries organised the Research Data Academy, RDA, a series of training sessions designed to strengthen participants’ data literacy skills, covering multiple areas in the research data lifecycle. In the coming months, based on the RDA, several posts on key topics in the research lifecycle…