Accepted for/Published in: JMIR Formative Research
Date Submitted: Mar 7, 2021
Date Accepted: Nov 5, 2021
Unlocking Digital Bioethics: A Platform to Develop and Apply Digital Methods for Empirical Research
ABSTRACT
Background:
The rise of digital methods and computational tools has opened up the possibility of collecting and analyzing data from novel sources, such as discussions on social media. At the same time these methods and tools introduce a dependence on technology, often resulting in a need for technical skills and expertise. Researchers from various disciplines engage in empirical bioethics research, and software development and similar skills are not usually part of their background. Therefore, researchers often depend on technical experts to develop and apply digital methods, which can create a bottleneck and hinder the broad use of digital methods in empirical bioethics research.
Objective:
This study aimed to develop a research platform that would offer researchers the means to better leverage implemented digital methods, and simplifying the process of developing new methods.
Methods:
This study used a mixed-methods approach to design and develop a research platform prototype. I combined established methods from user-centered design, rapid prototyping, and agile software development to iteratively develop the platform prototype. In collaboration with two other researchers, I tested and extended the platform prototype in-situ by carrying out a study using the prototype.
Results:
The resulting research platform prototype provides three digital methods, broken down into functional components. This modular concept allows researchers to use existing methods for their own experiments, and combine implemented components into new methods.
Conclusions:
The platform prototype illustrates the potential of the modular concept, and empowers researchers without advanced technical skills to carry out digital methods experiments and develop new methods. However, more work is needed to bring the prototype to a production-ready state.
Citation
Per the author's request the PDF is not available.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.