SoDaMaT Project » History » Version 58

« Previous - Version 58/65 (diff) - Next » - Current version
Steve Welburn, 2012-11-20 12:43 PM

Sound Data Management Training (SoDaMaT)

(for general information re. Research Data Management please see the parent project Wiki)

1 SoDaMaT Overview

2 SoDaMaT Background

3 SoDaMaT Researcher Profile

4 SoDaMaT Evaluation

5 SoDaMaT Sustainability


We aim to achieve sustainability in the longer term both in the digital music and audio research community, and within QMUL. Our goals are:
  1. to make discipline-specific training sustainable in the digital music and audio research community. Awareness will be raised by presenting the material in collaboration with the Sound Software project at similar UK research institutions, and at discipline-specific conferences (ISMIR and DAFx). Training material will be made available for reuse through the Jorum repository.
  2. to set an example within QMUL. The project will be used as an example by the QMUL Learning Institute , the School of Electronic Engineering and Computer Science, and the IT Services to expand the data management training to other disciplines by adapting the material and methodologies, starting from related research areas such as Signal Processing, and more generally Electronic Engineering and Computer Science. Data management training will be integrated in postgraduate curricula: every PhD student is expected to take part in approximately 210 hours of development activities (including research methods courses) over the course of their studies and the points gained are mapped against the four domains of the Vitae /RCUK Researcher Development Framework . Material for Continuous Professional Development courses for research and academic staff will also be adapted to other disciplines, and all face-to-face training will be complemented by online training material.


The work of the project is divided into four work packages (WP):

An overview of the intended content of the work packages is here

Training the Trainers

Additional Notes


Pryor, G. and Donnelly, M. (2009). Skilling up to do data: whose role, whose responsibility, whose career? The International Journal of Digital Curation. Vol. 4(2), pp. 158--170.

Research Data Management Skills Support Initiative (DaMSSI) final report

Printable Version