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This document is a summary of the Research Ethics audit that we have applied for and been granted by Edinburgh College of Art (ECA), as part of the AHRC Creative Informatics project (https://creativeinformatics.org/ ). We’re sharing this as an exemplar, and in the interests of transparency for all those who we work with directly, as collaborators and as research participants. This summary is the result of a form required by ECA, that is intended to help researchers recognise any ethical risks in their research, and also to protect researchers, participants and the university itself in case of any harms that may result from a research project. It is an ‘umbrella application’ – designed to cover the majority of research projects we will undertake throughout the project.
Creative Informatics is a partnership between The University of Edinburgh, Edinburgh Napier University, Creative Edinburgh and Codebase. Creative Informatics is funded by: the Creative Industries Clusters Programme managed by the Arts & Humanities Research Council as part of the Industrial Strategy; the Scottish Funding Council; and the Edinburgh and South East Scotland City Region Deal Data Driven Innovation Initiative.
Research Ethics, Data-Driven Innovation, Creative Industries, Creative Informatics
Research Ethics, Data-Driven Innovation, Creative Industries, Creative Informatics
| 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 |
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