Welcome to the Research Data Academy! The RDA is a series of training sessions designed to strengthen your data literacy skills though introducing you practices and useful tools which help you to work with your research data efficiently. The sessions cover multiple areas in the research data life cycle, including research data management and planning, data collection and processing, data analysis and visualization, and data preservation and sharing.
Most of the sessions are available to current HKU students and staff.
Section 1
Research Data Management & Planning
01
Introduction to Research Data Management & Data Management Plan
2024-03-07 (Thu) @ 14:30 - 16:00
Venue: E-Learning Lab, G/F Main Library or Zoom
Instructor: Ms. Florence Ng (Research Services Librarian, HKU Libraries)
Description:
This is a 1.5-hour session introducing you to the basics of Research Data Management (RDM) and guiding you through the major components in writing a Data Management Plan (DMP)...
02
Unlocking Research Potential: Effective Data Management for Transdisciplinary Success
2024-03-12 (Tue) @ 14:30 - 15:30
Venue: Zoom
Instructor: Miss Clio Cheng (Ph.D. Candidate, Department of Social Work & Social Administration) & Mr. Kehan Zou(Ph.D. Candidate, Department of Industrial and Manufacturing System Engineering)
Co-organized by: i-REACH (Advanced Technologies Institute, HKU and Sau Po Centre of Ageing, HKU)
Description:
This session explores the multifaceted aspects of transdisciplinary research (using the i-REACH project as an example), focusing on three key elements: effective communication, hardware and software data management, and hands-on data management with R, ...
03
Introduction to Web Scraping & Text Preprocessing in Python
2024-03-25 (Mon) @ 14:30 - 15:30
Venue: Zoom
Instructor: Mr. Terry Chung (Digital Scholarship Librarian, HKU Libraries)
Description:
This session will help you to understand the fundamentals of web scraping and text preprocessing. You will acquire practical skills to implement these techniques in your data analysis projects...
04
Mastering Data Cleaning Techniques
2024-03-28 (Thu) @ 14:30 - 15:30
Venue: Zoom
Instructor: Ms. Mahboobani Vanessa Ramesh (Data Services & Information Research Librarian, HKU Libraries) & Ms. Jessica Lee (Executive Officer (Digital Scholarship and Data Analytics), HKU Libraries)
Description:
This training session provides essential knowledge, practical skills and techniques in data cleaning to ensure data accuracy, consistency, and quality for analysis...
Section 3
Data Analysis & visualization
05
Creating Visualizations and Data Stories with online visualization tool - Flourish
2024-04-08 (Mon) @ 14:30 - 15:30
Venue: Zoom
Instructor: Ms. Vivian Qiu (Learning and Research Services, HKU Libraries)
Description:
This 1-hour training session aims to enhance your data visualization skills and introduce you to Flourish, an online data visualization tool. Through this session, you will be guided to select the right visualization for your data from various visualization types and a range of templates in Flourish, and able to gain hands-on experience...
06
Unlocking Insights: VOSViewer for Bibliometric Visualization and Analysis
This workshop is suitable for researchers, librarians, and anyone interested in bibliometrics and data visualization. No prior experience with VOSviewer is required. We will also demonstrate how to import data from various sources, including popular databases like Scopus, Web of Science, PubMed, Dimensions, and Lens...
Click Register button above to see more details on the registration page
07
Introduction to Text Analysis and Voyant Tools
2024-04-19 (Fri) @ 14:30 - 15:30
Venue: Zoom
Instructor: Mr. Terry Chung (Digital Scholarship Librarian, HKU Libraries) & Ms. Kayla Ng (Technology Support Services, HKU Libraries)
Description:
In this 1-hour Zoom workshop, we will cover the basics of text analysis and introduce Voyant Tools, an online text analysis and visualization platform. Participants will gain hands-on experience with Voyant Tools' features. The workshop will also include guidance on interpreting and customizing visualizations...
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08
Uncovering Exploratory Data Analysis and Data Visualization
2024-04-25 (Thu) @ 14:30 - 15:30
Venue: Zoom
Instructor: Ms. Mahboobani Vanessa Ramesh (Data Services & Information Research Librarian, HKU Libraries) & Ms. Jessica Lee (Executive Officer (Digital Scholarship and Data Analytics), HKU Libraries)
Description:
This session provides an introduction to fundamental data analysis and visualization concepts, equipping participants with the necessary skills to utilize Python to create effective visualization, strengthen exploratory data analysis and reveal valuable insights...
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Section 4
Data Preservation & Sharing
09
Sharing research data – practical examples of what to do and why it benefits your research Session open to public
2024-05-02 (Thu) @ 16:30 - 17:30
Venue: Zoom
Instructor: Dr. Lauren Cadwallader (Open Research Manager, PLOS) and Dr. Julia Squarr (Journal Development Manager, PLOS)
Description:
This talk will introduce the audience to the practice of data sharing, including how to do it, as well as the benefits it brings the researcher who is sharing the data. The talk will also give insights into how data sharing practices contribute to the evaluation of articles submission to journals...
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10
Managing data and scholarly outputs on DataHub
2024-05-08 (Wed) @ 14:30 - 15:30
Venue: Zoom
Instructor: Ms. Chloe Ng (Learning and Research Services, HKU Libraries)
Description:
This is a 1-hour hands-on session introducing you to the featured functions of DataHub, the HKU institutional data repository. Participants will be guided through the file uploading and metadata input process with use cases of how the HKU research community members share their work on DataHub. ...
Click Register button above to see more details on the registration page
The Libraries manage the HKU DataHub which allows deposit of research data, storage, controlled access, and preservation. The team offers consultations to individual HKU researchers, group training sessions tailored to your department or faculty, and advisory services.
