DataTrain: research data management training modules in Social Anthropology Authors: Irene Peano Created: 1 October 2011, by Irene Peano Looking after digital data is central to good research. We all know of horror stories of people losing or deleting their entire dissertation just weeks prior to a deadline. Even before this happens, good practice in looking after research data from the beginning to the end of a project makes work and life a lot less stressful. Defined in the widest sense, digital data includes all files created or manipulated on a computer (text, images, spreadsheets, databases, etc). With publishing and archiving of research increasingly being online, we all have a responsibility to ensure the long-term preservation of our research data, while at same time being aware of issues of sensitive data, intellectual property rights, open access, and freedom of information. The DataTrain teaching materials have been designed to familiarise post-graduate students in good practice in looking after their research data. A central tenet is the importance of thinking about this in conjunction with the projected outputs and publication of research projects. This teaching package is focussed on data management for Social Anthropology. Published: 4 July 2013, by the DataTrain project, University of Cambridge. Funded by the JISC Managing Research Data programme. Keywords: RDMTrain, social anthropology, research data management, graduate training Licence: Attribution-NonCommercial-ShareAlike 3.0 Unported