D4Science provides a rich, collaborative environment for educators to integrate open science principles and practices into their curricula, empowering students with hands-on experience in data integration, analysis, and publication using cutting-edge research tools.
Challenge to solve
The professor is seeking a platform that facilitates hands-on learning, data exploration, and collaborative analysis while adhering to open science principles.
How D4Science supports the user story
D4Science provides an ideal environment for the course by offering a customisable VRE that can be tailored to specific learning objectives and data requirements.
- The professor can use the VRE to create a dedicated workspace for the course, populate it with relevant datasets from the D4Science Catalogue, and integrate tools like JupyterLab and RStudio, providing students with a unified platform for their assignments and projects.
- The CCP (Cloud Computing Platform) empowers students to run data-intensive analyses and experiment with different algorithms without being limited by their personal computers' computational power. They can learn how to encapsulate their code as executable web services, promoting reusability and reproducibility.
- By leveraging the D4Science Catalogue, the professor can guide students through the process of publishing their results, including datasets, code, and workflows, using standardised metadata schemas. This hands-on experience with data publishing fosters an understanding of the importance of data sharing and citation practices in open science.
- The VRE's social networking features facilitate communication and collaboration among students, allowing them to discuss their findings, share code snippets, and assist each other with technical challenges. The professor can also use the VRE to provide feedback on student work, host online discussions, and foster a sense of community among learners.
- The professor can encourage students to explore the D4Science infrastructure beyond the course-specific VRE, exposing them to the wealth of data and analytical tools available within the broader ecosystem. This exploration can spark new research ideas and highlight the interconnected nature of scientific disciplines.
