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Digital methods such as mapping, data visualization and network analysis offer opportunities to interrogate, explore, and answer research questions. What underlies each of these digital methods are data and the processes required to translate arts and humanities evidence into manipulable data structures. In this workshop, we will explore the concept of “collections as data” and the implications of data normalization to facilitate computational based research or creative outputs. We will discuss the types of decisions you’ll encounter when representing your humanities evidence in a digital environment and best practices for structuring your research data for use in a number of digital tools.