This week, was a particularly transitory period of the internship—we were not quite finished with methodology workshops, but at the same time, were poised to begin to construct proposals for more substantive research. This, to me, seemed like a research-process-sweet-spot: we’re pretty familiar with the tools and methods that are available to us, but it still feels like there is enough temporal wiggle-room to be really ambitious with our ideas, to think broadly and imaginatively about potential project avenues. Inevitable limits of time and practicality have not quite set in yet.
I’ve been thinking quite a lot about how we interpret and understand “data” as a concept. Earlier this week, we read Johanna Drucker’s article “Humanities Approaches to Graphical Display,” in which she identifies a need for data constructions and visualizations that are more in line with the uncertainty and persistent questioning practices that are characteristic of the humanities. Data is so often taken at face value and as fact, with little substantive questioning of any methodological underpinnings or assumptions inherent in data collection and organization practices. As I start to think about how data visualization might play into our final project, I’m also thinking about how data visualizations work and what they do.
I’ll use my current interest/proposal as an example. After spending a lot of time digging through finding aids and library catalogues, I became fascinated by the college’s original library, and its relationship to concurrent student libraries, the contents of which are documented in the archives. I decided that it would be interesting to consider the differences between student-curated versus faculty curated library collections, potentially comparing both subject matter and locations from which books were sourced in each case. As a first stab at this project, I began compiling a spreadsheet of data on books in the original college library. Immediately, I realized how much my own decisions and biases would affect the results of my research. Before I even arrived at this point, librarians decided on a relevant set of metadata with which to describe the books in the online catalogue. On my end, in order to compile this data, I had to decide which pieces of previously-created metadata about the books were relevant to my project, and also had to decide on a standardized list of subject headings under which the books could be grouped for my purposes. Just like that, I felt my own priorities, assumptions, and prior training “contaminating” the information in front of me…
Though I have little to offer in terms of ways to rectify this conundrum—Drucker herself calls the task “enormous”—I think that a first step is to make apparent the decisions and biases that contributed to the construction of a project by outlining our methodology and research process for reader-viewers, such that they are equipped with enough context and information to examine DH projects not simply at their face value, but also from a critical/ever-questioning/humanities-informed standpoint.
On another note, this week was especially fun because I think we really began to see where our interests might intersect or fit together to create a cohesive final project. I’m particularly excited because all four of us are so committed to making sure the final product reads as a cohesive, though multi-faceted, project, and plan to link our sub-projects to one another, compelling the reader-viewer to draw their own connections between pages. We have lots more to do–we’re still pitching new ideas and tweaking projects every day–but I’m excited to continue to draw connections and collaborate as the final proposal takes shape!
2 thoughts on “On Methods, Data, and Proposals”
I’m slightly comforted in our mutual feeling of “contaminating” the sources we’ve been looking at–every time I enter information into a spreadsheet, Zotero, or my own notebook, I feel as if there’s no way that I can accurately and fully describe the information that I’m recording. And I suppose that’s true of DH–we are creating a resource of a resource–and why thinking things through and learning the “tools of the trade” are so useful! We can do it! 🙂
Time and practicality – the two constraints of any research project. You’re spot on in pointing out that understanding the limits to these two can take secondary priority in the frantic search for a project topic and dataset to work on. However, I think we have leaped forward as a team by limiting the scope of our research with a collective theme that encompasses our individual interests. Though we have more work to do in further narrowing down our topics, I’m impressed by the progress we have made together so far. I look forward to breaking new ground in the remaining few weeks.