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Illustrations created by Scriberia as part of the Research Engineering Group (REG) illustration sprints in 2022. They depict a variety of content to describe how REG work and the team’s makeup. More information about the team can be found at https://www.turing.ac.uk/research/research-engineering. When using any of the images, please include the following attribution with the specific DOI: This illustration is created by Scriberia with the Research Engineering Group. Used under a CC-BY 4.0 licence. DOI: 10.5281/zenodo.7785796 Please note that these images are shared here in the original format and size. Individual illustrations are provided as .jpg and .tif files. We encourage the use and re-use of these images as much as possible. This includes remixing the images, for example changing the colours, translating text, or merging them together with additional (openly licensed) images. If you'd like to change the colours of the image, for example to align with other elements of your presentation, Alex Chan has written a guide for changing the dominant colour in an image which we hope is helpful. If you create something that others may benefit from, we encourage you to contribute your image back to REG.
research computing, data science, research engineering, software engineering
research computing, data science, research engineering, software engineering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 110 | |
| downloads | 59 |

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