"Conduct science with a particular level of reuse in mind." - Rule 3 of 10 Simple Rules for the Care and Feeding of Research data(1)
In order to be able to repeat and verify research it is necessary to document the research process well. All material needed to reproduce the research (e.g. data, code and software) has to be publicly accessible. Reproducible research requires a thorough preparation in the planning phase.
As a data supporter you will be able to advise a researcher on measures to take in order to start working reproducibly at an early stage. Expect the question "What is in it for me?" When asked, it may be useful to have testimonials at your disposal. How does reproducible research benefit researchers? The video below is a testimonial in which Patrick Vandewalle, senior researcher for Philips, shares his experiences with regard to reproducible research.
Set to HD quality for the best viewing experience.
Would you like to know more about Patrick Vandewalle and reproducible research?
- Download a video(2) in which he discussed reproducible research before.
- Search the repository(3) used to store Patrick's data and code.
- Curious about the tools he discussed? They were RunMyCode(4) and ResearchCompendia.(5)
- Read his articles about reproducible research:
- Vandewalle, P.; Kovacevic, J; Vetterli, M. (2009). Reproducible Research in Signal Processing - What, why, and how. IEEE Signal Processing Magazine, 26 (3). pp. 37-47.
- Vandewalle, P. (2012). Code Sharing is Associated with Research Impact in Image Processing. IEEE Computing in Science and Engineering, 14 (4). pp. 42-47.
Do you know stories or anecdotes that prove that researchers benefitted from research with reproducibility in mind? Do you know about projects in which researchers replicated each other’s research? Or do you have something else you would like to add? Let us know and post a comment.