The Library will have the following workshops on introducing digital scholarship and related tools to arouse the interest in applying new digital tools on research. Welcome CUHK academics, researchers and postgraduate students to join.
A Quick Glance of Online Text Analysing Tools
This online workshop will introduce the concept of text analysis and a few examples of text analysis tools. An online text analysing tool – Voyant Tools (http://www.voyant-tools.org) will be demonstrated to give handy results of textual materials, no matter they are in text file or online.
27 Jan 2021 (Wed) 3:00 p.m. – 4:15 p.m. | Completed
Understanding Research Data Management
Research data management refers to the collection, analysis, archive, sharing, and reuse of research data. This workshop will introduce the principles in managing data, the practice of managing and depositing research data. It will also emphasize how sharing and reuse of research data influence your research impact.
28 Jan 2021 (Thu) 11:30 a.m. – 12:30 p.m. | Completed
Research Data in the Big Data Era
In the big data era, data become a necessity for research. They are not only confined to an excel table, but also in many other forms. This workshop will introduce what data are, the roles of research data in the data life cycle, and what constitutes big data. It will also present the basic concepts of data science and data analytics.
2 Feb 2021 (Tue) 10:30 a.m. - 11:30 a.m | Completed
Visualising Network Relationships with Gephi
Gephi is a free software for visualisation and exploration of graphs and networks. This workshop will demonstrate the use of the software in turning your data into network graphs to discover hidden message.
Participants can install Gephi 0.9.2 (https://gephi.org) in their device.
23 Feb 2021 (Tue) 3:00 p.m. – 4:15 p.m. | Completed
Writing Data Management Plans with DMPTool
A data management plan (DMP) is a written document that outlines how research data are managed in a research project. Some funding agencies require researchers to prepare a DMP at the proposal preparation stage. CUHK has been affiliated with DMPTool, on which templates of some popular funding agencies are also available. Besides introducing the rationale of having a DMP, this workshop will guide you to write a DMP with DMPTool.
10 Mar 2021 (Wed) 11:30 a.m. – 12:30 p.m. | Completed
Introduction to R Programming for Statistical Analysis
Invited speaker: Prof. Michael Chan, Associate Professor, School of Journalism and Communication, CUHK
R has become an increasingly popular tool for statistical analysis. This online workshop is targeted at students and faculty who are already familiar with well-known statistical software like SPSS and STATA, but would like to learn about or experience statistical analysis in the R environment. The workshop will introduce the R environment, cover the basic tasks such as data import (e.g. SPSS, Excel, csv), descriptive and inferential statistics, and visualization of data.
12 Mar 2021 (Fri)
2:30 p.m. – 4:30 p.m.3:30 p.m. - 5:30 p.m. | Completed | Online Workshop Recording
Introduction to ArcGIS and QGIS for Digital Scholarship Projects
The use of GIS software is effective in showcasing spatial-temporal relationships in research analysis. This workshop will demonstrate the basic use of ArcGIS Pro and QGIS for spatial data display and perform simple spatial analysis.
Both ArcGIS Pro and QGIS is available for use at the workstations in DS Lab. For home practice:
- ArcGIS Pro can be used in PC only and it provides 21-days of free trial for installation (https://www.esri.com/en-us/arcgis/trial)
- QGIS is a free software that both PCs and iMacs versions are available and users can install for use (https://qgis.org/en/site/forusers/download.html)
16 Mar 2021 (Tue) 3:00 p.m. – 4:30 p.m. | Completed
Basics of Data Mining with Weka (Hands-on)
Weka (Waikato Environment for Knowledge Analysis) is a collection of machine learning algorithms for data mining tasks, including data preparation, classification, regression, clustering, and visualization. This workshop will introduce principles of machine learning and some basic techniques of data mining using Weka.
- Participants have to bring a device with Weka 3.8 (stable version, with or without Java VM) (https://waikato.github.io/weka-wiki/downloading_weka) installed.
- Teaching mode to be confirmed
15 Apr (Thu) 11:00 a.m. -12:30 p.m. | Completed
Medium of Instruction: Cantonese (English might be used if users require.)