A version of these slides were presented to the “Resilient Networks to Support Inclusive Digital Humanities (DH)” workshop at George Washington University, August 10–12, 2016.
a principle of inspiration rather than reproducibility or repeatability, scholars in the humanities deploy strategies such as metaphor, analogy, contradiction, silence, and seduction to provoke their audiences.” “ make new knowledge [ ]
the distinction between and gaps The most exciting ideas arise from the in what has already been done. Think of ideas as being made out of FOUR parts: questions audiences sources tangible products
ranging from artifacts such as photographs to symbols such as letters or numbers which is collected, stored and disseminated in order to be used as evidence for knowledge claims.” “ Defining Data
a principle of inspiration rather than reproducibility or repeatability, scholars in the humanities deploy strategies such as metaphor, analogy, contradiction, silence, and seduction to provoke their audiences.” “
Court of the District of Columbia for the County of Washington The petition of Amelia Marshall alias Milly Marshal (coloured woman) humbly represents that she is a coloured woman and is as she believes entitled to her freedom. That she is now held in bondage a state of slavery by John Gant & William …
is computationally- addressable character information. Depending on how that character information is organized there may or may not be computationally- addressable information about the “text”
the data we think it is? Is this data the same as that data? Meaning problems What is this data supposed to be telling us? Relationship problems How is this data related to that data? Integration problems How can I combine this data with other data? Interoperation problems How can I get this data to work with my software? ALLEN RENEAR’S
much it’s useful to try to imagine how someone will ultimately view that data This could be through something like wireframes of an interface, or sketches of a visualization
role of and it thus follows that data must be able to through some kind of public. A large proportion of research is data curation models To be effective working with data, think about transformations views
Relatedly, are we using any money we received well? Team Management How are we giving credit to everyone who is contributing to this project? How will everyone communicate? Who is responsible for the emotional labor of making us a team? Sustainability Will the work people put into this project disappear in a year? Five years?
the team with the least power, who are least able or least comfortable getting what they bureaucratic Formal tools, like charters, are more than exercises need to do their work through more informal means.
informal How teams work together will vary from to Being good at managing a team is different than being a good scholar, librarian, administrator, organizational leader
being efficient (which probably means using technologies you’ve used before) (beware warping solutions to fit familiar technologies) with being flexible h/t Jill Gremmels
and policy makers are the (chief) audiences for white papers, which they use to help them make decisions. Is your output for that audience? If so, have you thought about their needs?