How to Make Your Empirical Research Transparent

2020-10-25T18:00:00Z – 2020-10-25T21:30:00Z

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Two fundamental tenets of scientific research are that it can be scrutinized and built-upon. Both require that the collected data, supporting materials, and decision timing be shared, so others can examine, reuse, and extend them. This tutorial will teach how you can share the artifacts of your own research. You will learn about the benefits gained by making different components or stages of research transparent, including decision timing, data collection procedures, raw data, and analysis & code. And for each, there will be tips and tricks as well as a walkthrough on how to share your work using the Open Science Framework. Bringing your laptop is highly encouraged. We will also discuss what to do (and what you do not need to do) when reviewing a paper with open materials. You will hopefully walk away with an improved ability to make your own research more empirically replicable and computationally reproducible. These skills can enable you to have a greater impact on the field by facilitating reuse and further development of your ideas by both other researchers and those who wish to apply your work.


tutorial

How to Make Your Empirical Research Transparent

2020-10-25T18:00:00Z – 2020-10-25T21:30:00Z

Chair: Xiaoying Pu, Steve Haroz

6 presentations in this session. See more »