Help with Data Management for the Novice and Experienced Alike

In Grant Ramsey & Andreas de Block (eds.), The dynamics of science: computational frontiers in history and philosophy of science. Pittsburgh, Pa.: University of Pittsburgh Press. pp. 132–43 (2022)
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Abstract

With the powerful analyses and resources they enable, digital humanities tools have captivated researchers from many different fields who want to use them to study science. Digital tools, as well as funding agencies, research communities, and academic administrators, require researchers to think carefully about how they conceptualize, manage, and store data, and about what they plan to do with that data once a given project is over. The difficulties of developing strategies to address these problems can prevent new researchers from sticking with digital tools and flummox even experienced researchers. To help overcome the data hurdle, we present five principles to help researchers, novice and experienced alike, conceptualize and plan for their data. We illustrate the use of those principles with two digital projects from the history of science, the Embryo Project and the Marine Biological Laboratory History Project, and their associated HPS Repository for data. The principles apply beyond the digital realm, so those who collect and manage data by more traditional means will also find them useful.

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Steve Elliott
Arizona State University

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