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In the wake of the murders of George Floyd, Breonna Taylor and Ahmaud Arbery in 2020, among other (on-going) acts of violence against African Americans, a group of IASSIST members felt compelled to gather materials that can help all of us better recognize, acknowledge and combat inherent racial bias. Their work led to the formation of the current IASSIST Anti-Racism Resources Action Group. This Group has three subgroups that have been working to compile a variety of resources that might otherwise be difficult to find, such as: (1) sources of data and datasets on a variety of topics that document racism and the Black experience internationally; (2) tools, articles and rubrics for building anti-racism into the process of working with data across the research lifecycle. This panel consists of members of the subgroup that is working to developing a guide for finding these race and race-related data and resources. We will discuss the challenges and considerations in finding data documenting racism and the Black experience internationally, as well discrimination based on indigenous, national, and cultural/ethnic origins. We will share strategies and examples of how to apply the strategies. We will answer questions about the finding tool and the related list of data sources and guides for working with an anti-racism lens. We may begin to explore how these tools might be adapted and expanded over time to address other types of discrimination, such as by migrant/refugee status, religion, gender identity, or sexuality." The panel welcome participants feedback on strategies and their knowledge and experience that can contribute to making these tools applicable internationally and inclusive.
anti-racism, data ethics, finding data
anti-racism, data ethics, finding 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). | 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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