Digital libraries and research institutions are building a rich web of linked culture heritage data that is already changing the kinds of questions we can ask of the past. And yet accessing that data remains a significant challenge even for scholars with an understanding of the technology. Humanities+Design, a research lab at CESTA, is creating FI:BRA to help scholars build complex, multidimensional data sets intuitively. We describe it as a personal data modeling tool. While we all depend upon machine scale computing to help us wade through the sea of research data and discover what is relevant, we also need human scale tools that support critical inquiry into the data themselves. This talk is both an introduction to FI:BRA and an invitation to participate in its design.
Lunch will be served.