Why are non-data driven representations of data-driven research in the humanities so bad?

https://openmethods.dariah.eu/2017/09/20/why-are-non-data-driven-representations-of-data-driven-research-in-the-humanities-so-bad-txtlab-mcgill/ OpenMethods introduction to: Why are non-data driven representations of data-driven research in the humanities so bad? 2017-09-20 09:21:11 Introduction: This short post captures the problem of inadequate representation of data-driven criticism by scholars who are reluctant to empirical methods. Maciej Maryl https://txtlab.org/2017/09/why-are-non-data-driven-representations-of-data-driven-research-in-the-humanities-so-bad/ Blog post Analysis Collaboration Communicating Community Building Contextualizing Data Digital Humanities Dissemination English Give Overview Interpretation Language Literature Metadata Methods Modeling Projects Publishing Research Research Activities Research Objects Research Process Research Results Text Theorizing Visualization via bookmarklet

Introduction by OpenMethods Editor (Maciej Maryl): This short post captures the problem of inadequate representation of data-driven criticism by scholars who are reluctant to empirical methods.

One of the more frustrating aspects of working in data-driven research today is the representation of such research by people who do not use data. Why? Because it is not subject to the same rules of evidence. If you don’t like data, it turns out you can say whatever you want about people who do use data.

 

Original publication date: 17/09/2017.

Source: Why are non-data driven representations of data-driven research in the humanities so bad? | .txtLAB @ mcgill