Open data project | Research Information Network

" ... Summary findings of the study ... Opening data builds on recent requirements and trends in HE for RDM. It is simply one potential goal for managing data. To support opening data, openness should be put at the heart of RDM and RDM training: an 'open by default' position. This is a small extension and a change in tone, rather than any fundamental change. While there is little training specifically intended for opening data, there is an increasing number of training courses and materials available to support RDM. Much of this training is at a level that provides only basic working knowledge and an awareness of the issues of RDM, and whereas 'open data' may be mentioned, it is only addressed superficially. Few training materials are available for intermediate level skills and none for training experts in opening data. Some courses are available to train information professionals (ie library or IT staff) who will subsequently have a role in training others or providing support. The individuals who currently have responsibilities for managing research data are in many cases responsible for working out how to do this: however, there is not yet a significant body of expertise and best practice. None of the training examined was aimed at a particular instrument or dataset. However, such training would normally either be given within the research group, by an instrument supplier, or by a research collaboration. In many disciplines, it is still early days for opening research data. Although the drivers exist, the culture of 'open by default' is not yet established, and there is no clear view on the type and level of support in opening data needed by researchers. There is also no common view of the skills required by such support staff or how such support should be delivered. Perhaps the greatest challenge to opening data appears to be meeting the needs of researchers across different disciplines, with strongly differing needs. The report describes a framework for how to address this challenge when designing training and support for opening data, within the broader questions of RDM. Recommendations are set out, relating to: - putting opening data at the heart of policy - putting opening data at the heart of training - deepening and broadening the training - identifying and disseminating best practice in opening data - developing institutional and community support