Category: Scholarly Communication Services
Unmasking and Combating Publishing Malpractices 1: Paper Mills
— by Fanny Liu Academics are faced with a pressure to consistently and frequently publish research to sustain or advance their careers, which incentivizes quantity over quality. This “publish-or-perish” mentality has brought potential negative impacts to scholarly research, for example unethical publishing behaviour compromising scientific integrity. Misconduct in science is “fabrication, falsification, or plagiarism in…
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The Evolving Landscape of Open Science: Where are we now?
— by Florence Ng In an age where information flows more freely than ever, the concept of Open Science has emerged as a transformation of scientific research over the past several decades. Open Science is a movement aimed at making the scientific research process and activities, including but not limited to protocols, data, codes and…
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A Comparative Approach to Explore HKU Publication Trends Using Data from OpenAlex and Peer Databases
— by 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…
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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.…
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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…
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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…
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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…
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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…
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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…
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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…
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