In DataScienceILC/tlsc-dsfb26v-20_workflows: Bookdown site for workflows course

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Reproducible Research

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Course contents

• Open Science (lessons 1)
• Data management (lesson 2)
• Using Git/Github (lesson 3 - 5)
• Advanced RMarkdown (lesson 6 - 8)
• Databases (lesson 9)

Exercises & Course Exam

• Each lesson has multiple Exercises
• Some exercises do not have answers available
• Some exercises need to be done together with you class mates
• Do the group exercises in your Projecticum group
• Each lesson has one or more portfolio assignments ('portfolio assignments')
• Complete all portfolio assignments in separate Rmd files
• Build a bookdown project from all these files
• Host the bookdown on github, via github pages

Requirements for the exam

• You need to hand in all portfolio assignments to pass the course. You cannot compensate an assignment with another.
• Your portfolio is hosted on a public Github pages website
• Your portfolio is a {bookdown} project
• Your portfolio is appealing and written in proper English
• Your portfolio contains a short reading guide, introduction and table of contents
• At the end of the portfolio, include a short reflection paragraph

Original work

• Not allowed to hand in a pre-existing analysis as your own work.
• Allowed to let yourself be inspired by existing work and copy a few lines of code from pre-existing work.
• Provide credit to the work you are using or changing.
• Pay respect to the associated license if present.
• Not allowed to let somebody else create your portfolio for you.
• Assessments of fraude or plagiarism will be reported to the Exam committee of the Institute for Life Sciences & Chemistry.

Reflection and where to go next

The last paragraph of your portfolio needs to include some reflection on what you have learned during this course. Include a few phrases on where you want to go next with your learning path on data science.

All information you need to perform to build your {bookdown} portfolio are included in the course reader.

Course reader

The course^$ reader can be found here:

https://datascience.hu.nl/rsconnect/dsfb2-workflows-reader/

The source^* for the reader can be found here:

https://github.com/DataScienceILC/tlsc-dsfb26v-20_workflows

\$This is the first time that we run this course
*You are invited to work together with us to improve the reader

Lessons

We planned long sessions to:

• Enable you to spend time on the exercises and portfolio assignments
• Seek interaction with your class mates and instructors
• Tackle any technical issues

Presence

• We require you to be present during the online session to maximize interaction.
• We will keep track of your presence during this course.
• Feel free to bring up issues or topics that are related to the course or the project work (Projecticum).
• We kindly ask you to switch on your video when in interaction with other course participants or instructors

Link with Data Science Projecticum

The Data Science for Biology 2 course consists of two parts:

1. "Workflows for Data Science Course" (tlsc-dsfb26v-20_workflows)
2. "Research Project - Data Science Projecticum (tlsc-dsfb26v-20_projecticum)

You need to apply what you learned in workflows to your research project

Questions and Issues

If you have questions during the online-sessions, reach out to your classmates or instructors. Instructors are available when online, or via the chat

Technical issues or issues with the reader content? Create a new Github issue here:

https://github.com/DataScienceILC/tlsc-dsfb26v-20_workflows

Good luck!

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DataScienceILC/tlsc-dsfb26v-20_workflows documentation built on July 4, 2025, 5:49 a.m.