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Data Analytics Practice Opportunity 2023/24

  • Data Analytics Practice Opportunity 2024/25
  • Data Analytics Practice Opportunity 2023/24
  • Data Analytics Practice Opportunity 2022/23
  • Data Analytics Practice Opportunity 2021/22

    • Data Analytics Practice Opportunity 2023/24

    Data Analytics Practice Opportunity 2023/24

    Organizing Parties: Research and Learning Support Department and Digital Initiatives Department, CUHK Library

    Presentation Session (15 Mar 2024): Details and Registration

    Introduction

    The Data Analytics Practice Opportunity is organised by the Chinese University of Hong Kong Library. This event aims to:

    1. encourage reuse of data
    2. support the exploration of data and metadata from university and library collections
    3. encourage inter-disciplinary exploration
    4. provide students with opportunities to develop data analytics projects with real data
    5. promote data mining and visualization

    Details

    Participants will develop codes to analyse data and tell stories with the CUHK and the CUHK Library resources. The codes should be adaptive to other datasets in the future as far as possible. The codes developed will be installed to the Library’s Digital Scholarship Tools platform (http://dstools.lib.cuhk.edu.hk) when the project is completed. A webpage and poster about the project will be created. Participants will also present the project at a sharing session.

    Students participating in the Practice Opportunity will develop:

    1. visualisation codes
    2. project webpage
    3. project poster
    4. presentation of the project

    Resources

    1. Data in the CUHK Digital Repository
    2. Metadata in the CUHK Library Archival Collections
    3. Data in the CUHK Research Data Repository

    Sample data:

    Name of collection/dataSample research questions
    1. Biographical Relationship of Writers or Artists in Hong KongThe stylometry analysis of Hong Kong writers/artists with reference to the interpersonal relationship
    2. 天文臺Storytelling on Hong Kong between 1950 and 1985 using intertextuality detection algorithm
    3. Cantonese Chanting in Hong KongExploring the pitch-text relationship in poems using natural language processing
    4. Rulan Chao Pian CollectionFace recognition in photos / Audio and video analysis
    5. Ink Wash Painting in the Various Collections at CUHKStylometry of ink wash painting
    6. 走馬樓三國吳簡．嘉禾吏民田家莂資料庫Reviewing the economic development in the Three Kingdoms of Eastern Han Dynasty using digital ethnography
    7. Buddhism Data (高峯和尚禪要 ; 攝大乘義章)Exporting text mining/visualization in Buddhism data.
    8. The Hongkong NewsTracing the topics concerned by the society from 1942 to 1945 in Hong Kong using topic modeling with statistical analysis
    9. Chinese Medicine Texts CollectionConnection and disconnection of ingredients through the lens of network diagram
    10. Metadata from the CUHK Library Archival CollectionsInteraction between collections in the subject: Chinese literature – China – Hong Kong using network analysis
    11. The Chinese Student Weekly (中國學生周報)N-gram and name-entity recognition in The Chinese Student Weekly and tracing a knowledge graph
    12. Jellyfish GenomesTranscriptomes of the jellyfish genomes
    13. Millipede GenomesGenomes assembly of the millipede genomes
    14. COVID-related dataAcceptance of vaccine and containment measures in Hong Kong during the COVID-19 period
    15. Medicine- and health-related dataReviewing the health-related data deposited in the CUHK Research Data Repository
    16. 廣東話合唱作品數據集Lyrics and Music Analysis
    17. Seagrass experimental dataReviewing seagrass experimental data using machine learning algorithm

    Eligibility

    All full-time undergraduate and postgraduate* students at CUHK
    Number of members in each team: 1–3
    Applicants will be invited for selection interview
    Number of successful team: 3

    * Postgraduate students under Postgraduate Studentship have to seek approval from your own department when you are given an offer.

    Selection criteria

    1. Knowledge on data analytics
    2. Skills and experience to develop codes
    3. Subject knowledge
    4. Ideas on reusing University and Library resources to develop a project

    Allowance

    Around $8,000 per team

    Application process

    Complete the application form at https://cloud.itsc.cuhk.edu.hk/webform/view.php?id=13671035 (Library Job Application Reference: SH20230803DSProject) and upload the following documents:

    1. CV
    2. Copy of transcripts
    3. 100-word statement of purpose with a proposed project topic (for the team*)

    *For team application, each team member has to submit the online application form separately. Please state under “supplementary information” the name(s) of your teammate.

    Timeline

    28 Aug–25 Sep 2023Application Period
    28 Sep–3 Oct 2023 2nd week of OctoberInterview of candidates
    4 Oct 2023 2nd week of OctoberAnnouncement of successful applicants
    6 Oct 2023 19 Oct 2023Briefing session
    Oct 2023–Mar 2024Development of projects
    5 Mar 2024 (TBC)Presentation of projects
    Mar 2024Completion of projects, codes, websites, and posters

    Project Outcomes in Data Analytics Practice Opportunity 2023/24

    Projects Completed:

    Presentation Recording

    Sponsor

    AWS

    Intellectual Property

    According to the University policy, participants are required to assign to the University the intellectual property of the project outcome. Participants are authorised to use the original source files provided by the organiser only for the Data Analytics Practice Opportunity. They are not allowed to use them for other purposes without the authorisation of the organiser.

    Participants must ensure that the codes developed and project output in the Data Analytics Practice Opportunity are original by the participants or legally authorized by the owner of the intellectual property rights. If any third party raises allegations of infringement of intellectual property rights or the legal irregularities, the participants assume all legal responsibility.

    Enquiries

    For any enquiries, please email the organizer at data@cuhk.edu.hk.