Tag: research data management
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.…
Read MoreText 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…
Read MoreData 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…
Read MoreData 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…
Read MoreWeb 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…
Read MoreEvent Summary – Unlocking Research Potential: Effective Data Management for Transdisciplinary Success
— by Chloe Ng The “Unlocking Research Potential: Effective Data Management for Transdisciplinary Success” sharing session successfully took place on Zoom on 12 March 2024 as part of the Research Data Academy series. The Ph.D. student sharing session was co-organized by the i-REACH project, Advanced Technologies Institute of HKU, Sau Po Centre of Ageing of…
Read MoreResearch Data Academy Series: From Planning, Analysis to Sharing
— by Chloe Ng The Research Data Academy, organized by the HKU Libraries, is a series of training sessions designed to strengthen your data literacy skills. It provides researchers with essential practices and useful tools that help you to work with your research data efficiently. Registration is now open. All HKU students and staff who are…
Read MoreState of Open Data 2023: Nuanced approach, readily available support, and AI awareness
— by Chloe Ng Conducted by Digital Science, Figshare and Springer Nature, the State of Open Data 2023 survey was carried out in June 2023, collecting a total of 6091 valid responses from researchers who had published or submitted a manuscript to a journal within the last 5 years worldwide. Respondents represented diverse geographical regions,…
Read MoreState of Open Data 2022
— by Fanny Liu The State of Open Data 2022 survey was conducted in May – July 2022, and received over 6000 responses by respondents from across different regions, in different fields of interest, and at different career stages. Most trends are encouraging around the adoption and acceptance of open data. A majority of the…
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