We migrated our legacy data into Worktribe over the summer, but we are still working to fix lots of inaccuracies and errors that have appeared in our records during the migration. If you spot any problems when using Worktribe or OpenAIR, please let us know and we’ll fix them as quickly as possible.
We have started to run training sessions for researchers on how to use the Outputs module in Worktribe. This training covers searching for existing outputs as well as adding new ones. Invitations are being sent directly to researchers according to lists that have been provided by research leads in each School. If you think you should have received an invite and have not heard anything by the end of January, please get in touch with the Publications Team. Please note: you will need to have attended a “Getting Started with Worktribe” basic training session first, in order to be given access to the system. You can find out more about the “Getting Started” sessions by contacting Jane Williams.
The repository currently contains 3,666 links between Schools and outputs (some records are linked to multiple Schools and therefore included in this figure more than once). Some examples of recent additions to the repository include the following outputs:
- https://rgu-repository.worktribe.com/output/790755 = ROBERTS, R. and FLIN, R. 2019. The psychological factors that influence successful technology adoption in the oil and gas industry. Proceedings of the Human Factors and Ergonomics Society Annual Meeting [online], 63(1): proceedings of the 63rd Human Factors and Ergonomics Society annual meeting, 28 October – 1 November 2019, Seattle, Washington, pages 1183-1187. Available from: https://doi.org/10.1177/1071181319631105
- https://rgu-repository.worktribe.com/output/784614 = BELAKEHAL, A., TABET AOUL, K., BENNADJI, A. and FARHI, A. 2019. The Relationships Between Users and Daylighting Design in the 20th Century Architectural Practice. Presented at the 7th Zero energy mass custom home international conference 2019 (ZEMCH 2019), 26-28 November 2019, Seoul, Korea.
- https://rgu-repository.worktribe.com/output/784417 = OCHOA, G., CHRISTIE, L.A., BROWNLEE, A.E. and HOYLE, A. 2019. Multi-objective evolutionary design of antibiotic treatments. Artificial Intelligence in Medicine [online], In Press. Available from: https://doi.org/10.1016/j.artmed.2019.101759
Each School currently has the following number of records on OpenAIR:
The above data were correct at the time of writing (26.11.2019).