DataScience+ We publish R tutorials from scientists at academic and scientific institutions with a goal to give everyone in the world access to a free knowledge. Our tutorials cover different topics including statistics, data manipulation and visualization!

Write for DataScience+

We welcome new contributions from our growing community.

DataScience+ is looking for R enthusiasts to share some great tutorials with our readers. If you like writing, teaching people how to use R programming for data science and especially for research, we want to talk with you.

What we look for in submissions

At DataScience+, our goal is to provide high quality tutorials in R that are both unique and compelling.

  1. Your post should be unique: although it’s great to see another post on a common analysis, we’re really interested in seeing detailed tutorials for trickier subjects, analyses that are poorly documented elsewhere online and that are often misunderstood by users.
  2. Your instructions should be straightforward and technically accurate.
  3. Your content should include detailed explanations of each step taken ensure readers have an accurate understanding of how to implement the analysis using their own data.
  4. Your R script should follow the DataScience+’s styling, we do ask that you to read our Editorial Stylebook.

Why write for DataScience+

DataScience+ is a great resource to promote what you’re doing. Along with tutorial we will publish your biography which includes a description about you, and a link to your website or LinkedIn, Twitter and Facebook account. Currently, most of our tutorials are published in, to ensure your tutorial will be as widely read as possible. Regular contributors are welcome to generate revenues by placing their own ad (i.e. Google Adsense) along to their posts.

How to apply

If you think that we should collaborate, send an e-mail with information about yourself. We will reply to you and start the conversation about joining us.

Legal Information

By submitting to DataScience+ you acknowledge that you accept our terms, and any form of editing that might occur on behalf of the DataScience+ editorial team.