Video 1: Open your Bachelor Thesis Using JASP
Learning objective: How to open (publish) the data and analyses in your bachelor thesis
Time: 20 minutes presentation + 10 minutes hands on (making a JASP file, creating an OSF repository)
When you have finished your bachelor thesis, you have the opportunity to open (publish) your data and analyses. A JASP file can be used to store your data, a reference to who collected and analyzed the data, a license, a code book, your analyses input, your analyses output, and your analyses interpretation. Placing a JASP file in a repository at the OSF will render a FAIR and open publication of your data and analyses.
This presentation (and the hands on) will: highlight why it is important to open data and analyses; introduce the concepts underlying FAIR, discuss (and show how to make) a JASP file, and discuss (and show how to make) an OSF repository.
This presentation and the corresponding hand on materials can be downloaded from https://osf.io/z7tbg
Video 2: Introducing Open Data Analyses while Teaching using JASP
Learning objective: How to give attention to open data and open analyses in one of your lectures
Time: 20 minutes presentation + 10 minutes hands on (making a JASP file, creating an OSF repository)
When you teach and discuss research examples, you have the opportunity to use one of these examples to introduce open data and open analyses. A JASP file can be used to store your data, a reference to who collected and analyzed the data, a license, a code book, your analyses input, your analyses output, and your analyses interpretation. Placing a JASP file in a repository at the OSF will render a FAIR and open publication of the data and analyses. Showing the JASP file and its placement in the repository should not take more than 10 minutes of one of your lectures.
This presentation (and the hands on) will: highlight why it is important to teach students about open data analyses; introduce the concepts underlying FAIR, discuss (and show how to make) a JASP file, and discuss (and show how to make) an OSF repository.
This presentation and the corresponding hand on materials can be downloaded from https://osf.io/z7tbg
About The Authors
Herbert Hoijtink
Herbert is a professor of Applied Bayesian Statistics at Utrecht University.