Abstract
Urban renewal was a national initiative from the 1960s through the 70s aimed at improving so-called “blighted” areas, and resulted in the displacement of many vibrant communities. While the underlying mechanisms of urban renewal have been examined, there have been very few data-driven, evidence-based studies that take into account the histories and interests of former residents. The “Human Face of Big Data” project started as a digital curation effort to design and develop a web-based platform that provides insights and analytics into the mechanisms of this process. However, it was found from user feedback that designing these kinds of platforms is not trivial; rather it needed to be carefully approached as diverse values and tensions exist surrounding the design of a historically-sensitive data system. This paper aims to report on the initial system design process, and provide a preliminary design framework constructed using a top-down approach. This framework can be used to examine possible dimensions of design concerns for historically-sensitive data platforms by system designers. Also, human-computer interaction (HCI) and archival science researchers can potentially benefit from this new perspective that considers both value sensitivity and archival values.
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Lee, M., Chen, S., Zhang, Y., Spencer, E., Marciano, R. (2018). Toward Identifying Values and Tensions in Designing a Historically-Sensitive Data Platform: A Case-Study on Urban Renewal. In: Chowdhury, G., McLeod, J., Gillet, V., Willett, P. (eds) Transforming Digital Worlds. iConference 2018. Lecture Notes in Computer Science(), vol 10766. Springer, Cham. https://doi.org/10.1007/978-3-319-78105-1_72
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DOI: https://doi.org/10.1007/978-3-319-78105-1_72
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