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Tools for Open-Science Research: Analyze & Methods

Research Activities

Common activities during this research phase include:
  • Analyze data and text
  • Share notebooks, protocols, and workflow

Tools for Data Analysis, Methods, and Documentation


GitHub is a code hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere.

Website: - Free

Video: What is Git? (YouTube)


Project Jupyter is a non-profit, open-source project to support interactive data science and scientific computing across all programming languages.

Website: - Free

Tutorial:  JupyterLab Documentation (YouTube) | Jupyter Cookbook (Access via O'Reilly Online Learning (Subscribed by HKUST Library)


Lab Archives

Lab Archives is one of the Electronic Lab Notebooks (ELN) platforms that offers researchers in any field a convenient, mobile way to organize, store, and easily search research data electronically across individuals, labs and universities.

Website:  - Freemium

Tutorial:  LabArchives ELN for Research (YouTube)



OpenRefine (previously Google Refine) is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

Website: - Free

Video: Explore Data, Clean and Transform DataReconcile and Match Data (YouTube)

 is an open access online platform for sharing, discovering, and discussing science methods.

Website: - Free

Tutorial: Tutorials


Qualtrics is an user-friendly survey system, helping users to conduct surveys for their researches.

Website: -Subscribed by HKUST

Tutorial: Training Guide (by ITSC, HKUST) 

Voyant Tools

Voyant Tools is a web-based reading and analysis environment for digital texts.


Mentions in the Library Blog: Text Analysis using Voyant Tools 

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