Digital Scholarship and Research Data Workshops (Sep – Nov 2024)
Welcome to join our face-to-face or online workshops and seminars on digital tools and research data management skills organized for CUHK community:
Title | Date & Time | Venue | Registration |
Introducing Digital Humanities for Study and Research
Digital humanities is a new form of research increasingly embraced by scholars in arts and humanities. This seminar will show you:
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26 Sep 2024 (Thu) 3:00 p.m. – 4:30 p.m. |
Online | Register |
Beginning Data Science in R (7 sessions)
Invited speaker: Dr. Kwong-cheong WONG, Programme Director and Senior Lecturer, Data Science and Policy Studies Programme, CUHK Content: This workshop introduces the key aspects of data analysis and visualization in data science using R. The topics covered include filtering and selecting relevant data, transforming data for analysis, summarizing data, creating informative data visualizations for exploration and presentation, and model building using machine learning techniques. Participants will acquire practical skills in R by working on a data analysis project. Remarks: |
27 Sep – 15 Nov 2024 (Fri) (except 11 Oct) 2:30 p.m. – 5:00 p.m. |
Digital Scholarship Lab, G/F, University Library | Register |
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 influences your research impact. |
7 Oct 2024 (Mon) 2:30 p.m. – 3:30 p.m. |
Online | Register |
Effective Use of The CUHK Research Data Repository
The CUHK Research Data Repository is the University’s research data repository. It aims to facilitate CUHK researchers to deposit, publish, and curate their research data outputs and for the worldwide to discover, access, and reuse the data. This workshop will introduce the features of the CUHK Research Data Repository and the effective methods for better data self-management, including publishing and sharing data in the Repository, and depositing data for peer review. |
8 Oct 2024 (Tue) 2:30 p.m. – 3:30 p.m. |
Online | Register |
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. |
9 Oct 2024 (Wed) 3:00 p.m. – 4:15 p.m. |
Online | Register |
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 the CUHK Data Management Plan Template and 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 Oct 2024 (Thu) 2:30 p.m. – 3:30 p.m. |
Online | Register |
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. Remarks: |
17 Oct 2024 (Thu) 3:00 p.m. – 4:30 p.m. |
Digital Scholarship Lab, G/F, University Library | Register |
Introduction to GIS & ArcGIS
Invited speaker: Mr Gilbert YEUNG, GIS Analyst, Esri China (Hong Kong) Ltd. Conducted by ArcGIS vendor, this seminar will introduce the concept of Geographic Information System (GIS) and its use in research. It will also cover the use of the software ArcGIS with illustration from examples of research projects. |
22 Oct 2024 (Tue) 3:30 p.m. – 5:00 p.m. |
Digital Scholarship Lab, G/F, University Library | Register |
Medium of Instruction: Cantonese, but English will be used if users require.
Enquiries: Email to dslab@lib.cuhk.edu.hk