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Introducing the Co-Creation Methods Inventory. Discover an open-access dataset containing a vast collection of co-creation methods. This resource is the culmination of meticulous research and ongoing analysis, drawing from diverse co-creation projects and references. Within this dataset, you will find 765 co-creation methods sourced from the Health CASCADE Co-Creation Database and grey literature sources. Each method is accompanied by a description and a reference. This initial dataset is meticulously curated to support and enhance your co-creation processes. Whether you are engaged in co-creation, co-design, co-production, or participatory research, these methods offer valuable insights and approaches. This dataset is a precursor to the forthcoming academic articles by Agnello DM et al., scheduled for publication in 2024. For any inquiries or further information about the dataset, please feel free to reach out to Danielle Marie Agnello at danielle.agnello@gcu.ac.uk. Additionally, join the conversation and stay updated on her work by following her on Twitter: https://twitter.com/DannyAgnello_GH. To delve deeper into the Health CASCADE Co-Creation Database, follow this link: https://doi.org/10.2196/45059. For additional support in utilizing these co-creation methods, explore our Draft Evidence-based Co-Creation Guideline: PRODUCES+ at https://doi.org/10.5281/zenodo.7343029. Finally, if you're interested in understanding more about how these methods align with co-creation characteristics, please take a look at this pre-print manuscript about the Co-Creation Rainbow framework: https://zenodo.org/records/10391410. Unlock the potential of co-creation methods and embark on a collaborative research journey with confidence, creativity and innovation!
co-production, participatory, co-design, co-creation, methods
Twitter Data
co-production, participatory, co-design, co-creation, methods
Twitter Data
| 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). | 1 | |
| 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 | 314 | |
| downloads | 101 |

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