Centre for Digital Humanities Research, Australian National University
Welcome to MetoDHology

 

 

OUR VISION
MetoDHology is an open platform produced by the Centre for Digital Humanities at the Australian National University. This purpose-build resource provides free and unlimited access to videos, bibliographies, tutorials, and research-orientated blog posts on digital methodologies.

Its aims are simple: first, to increase awareness of different digital methodologies, across disciplinary boundaries; second, to provide detailed information about digital methodologies so that new adopters can make informed decisions regarding the most suitable one before investing time and effort into up-skilling; and third, to provide a community-based crowd-sourced platform on which experts on different methodologies can publish their processes and workflows.

With a peer-review process and a DOI attached to each contribution, MetoDHology is similar to the Programming Historian, but it is less focused on providing tutorials for specific software, making it more generic and open, and by providing a clear critical evaluation of each methodology. We envision MetoDHology to be the first port of call for researchers wanting to find out about new methodologies, and to gain enough knowledge of a methodology’s strengths and limitations so that they are able to decide whether to skill-up and utilise it in their own work.

ILLUSTRATED THROUGH SPECIFIC EXAMPLES, BUT TRANSFERRABLE ACROSS DISCIPLINES

Anyone can contribute a lesson. We also implement a level of peer review. Each lesson will be assigned a DOI.

The aim of the platform is to provide insights into different methodologies. These are not aimed at specific pieces of software or any particular discipline. The challenge we face is that there is only so much you can write or read about a methodology in the abstract, and so we have to pick some examples of software and data to illustrate our points. These are picked from our own areas of expertise, but the processes they illustrate are transferrable across all disciplines.

Where possible, we use and recommend open source software and open data.