Structuring Primary Sources as Data

REGISTRATION: Click Here Are you looking for ways to apply your research question to a collection of newspapers, photographs, letters, or other primary source materials? Have you ever thought a spreadsheet or database might help your research? In this workshop, you will learn how to organize primary resource data around your research question(s) with an eye toward ethical concerns and common humanities data challenges, including consistency, uncertainty, ambiguity, and scale. We will consider a range of examples and will collaborate on an exercise that will give you hands-on experience creating a data structure for primary sources. You will also be introduced to key methods for digital humanities analysis, including matching data structures to visualization types and applications of data feminism principles* such as recognizing and addressing source biases, creating an intentional data collection and structuring practice, and making labor and decision-making in data collection and structuring visible. By the end of this workshop, you will be able to - Identify when gathering data may be an appropriate way to address their research question(s); - Articulate when you need a spreadsheet as opposed to a database; - Structure primary resource data around their research question(s); - Identify and address common humanities data challenges, including consistency, uncertainty, ambiguity, and scale; - Apply data feminism principles to data structures by, for example, choosing when to de-identify data, making your labor and decision-making explicit, rethinking binaries and hierarchies, including multiple perspectives, and maintaining key contextual features. Participation: You will be invited to participate in the hands-on exercise and discussions via mic or chat. Use of cameras during interactive sections is encouraged. Audience: Graduate Students & Faculty All are welcome to register; however, if there is a wait list, priority seating will be given to graduate students & faculty, particularly those in the humanities and social sciences. This workshop provides 2 credit hours towards the Duke Graduate School's Responsible Conduct of Research (RCR) credit requirements (GS714.19) and as well as the RCR-200 requirement for Faculty and Staff