relatively little study of social science and humanities practices, so these will draw more interest; how knowledge gets made in those areas
she found in the humanities particularly what we face is the difficulty/the data problem is that it's hard enough in the sciences to articulate "what are the data?"
in the humanities, the whole notion of data is vague
DMPs and other requirements have helped to promote awareness
even when one has to write DMPs, they are not really engaging what the data are; has taken a while for that conversation to move along, particularly in the humanities; there is a very high bar to have to specifiy the kinds of technology they're building and the data infrastructure/planning
funding agencies are getting more sophistaced through some very hard knocks (Mellon set specific guidelines that ended up being interpreted in completely unexpected ways -- project bamboo)
Virtual Knowledge book-->she liked it bc they came out of social studies of science, richer comparative approach than many; contrast looking at Otley and others looking for a single worldview on one page and one equation; matrix. The uncertainty matrix on page 97.
Latour quote: ocean of uncertainties
- Classical art and archaeology
- CLAROS (Donna Kurtz at Ashmolean; David Shotton on classification/taxonomist in zoology; Beasley Archive is within the Ashmolean)
- Pisa Griffin
- Chinese Buddhist philology
- Stefano Zacchetti
won't get institutions to change their systems, even though the systems aren't interoperable (internally nor externally)
so they extract from the long list of fields the data from each institution
humanities are notorious for not doing any user studies
structural problems affecting sustainability
without a user community, it's hard to get buy-in and fundings
"who are you building this for?" "everybody"
joint authorship
she sent the credit/signature of the different contributions to the project to Blaise Cronin, and he'd never seen it done that way, either
Zacchetti-->if he publishes in Chinese, he uses his Chinese name
the way they give credit is very different, with loooong pages of acknowledgements
tight coupling bt religious and scholarly communities; the monks are doing the translation
now trying to reconstruct how the texts were known at different points in time
the monks have built the database and the apparatus to search it
he calls it his telescope and his microscope
C beta
others are doing BLAST algorithmic work on texts
amazing technology built to model Pisa Griffin, in contrast to the Chinese Buddhist philology project
may be relevant to adherents of religion
Pisa Griffin is one project to understand one item; not supposed to be generalizable
MT: what a waste of resources??
Lisa Snyder: architectural historian
the study of interactive computer models for the teaching of historical urban environments
she comes at data management from a few diff perspectives: works with faculty on research, etc., that involve digital technologies in some fashion; also asked to step in on infrastructure questions on campus; looking at the data on the north side of campus and how it should be managed-->digital artifacts of knowledge production (not the knowledge content itself)
data in the humanities is very problematic bc some things taken for granted in the sciences don't have a counterpart in the humanities
MT: problematic? or different??
idiosyncratic relevance, tools, etc.
data access inventory as a prelude to issues for consideration for the university
she's involved with a library project with a long list of data items
3D computer model in diff formats
texture maps image files
software to run current model (then replaced with new software version)
videos from comp model
static images from comp model
videos from on site
static images
word files
for different uses
GIS-related files
teaching resources
maps
website
analytics for website
grant docs
analog docs
emails and other correspondence
"and then the project died"
questions of knowledge infrastructure, digital production of tktk, and a third
Miriam Posner
practices for working with individual researchers
her research has been on visual culture of medicine
digital scholarship
addresses the info overload and rhetoric of history that deals with a model of scarcity
"baffling abundance of sources, esp digital sources"
Anna Shadbolt
ANDS (seeding the commons--paid universities to contribute and establish policies and a programs)
Research Data Australia: Directory/Registry
individual repositories
researchers
identified willing researchers who wanted to build tools for data capture; at the point of creation, to automatically capture and register data (one called Founders & Survivors)
setting up a research platform: Social & Cultural Informatics (same as digital humanities, but a better name)
includes soc sci and the visual & performing arts as well
she does data curation, digital forensics, general research support
plus digital scholarship (Gavin McCarthy)
they don't have an IS faculty there, so trying to make the skill set they have as a resource platform and get recognition that way
"library cadets"-->interns; based on conern that library professionals are a dying breed
first time for research and collections, bc used to be just for info science ppl
a lot of unemployed phds in the arts; how do they capture a different type of capability and create jobs within this space
hopefully this platform will create projects, grants, etc.
street art archive
community is very positive toward cultural/community endeavors
most money goes to mining research, nanotechnology
next week: she wants us to meet here to work on our projects
week 9 on data sharing and reuse is chapter 8 (not 7)
clifford lynch's chapter deals with data sharing and reuse (almost a postscript to the joyce ray book)
last week: managing data
by march 5, she will give us more headlines for next term
selection and acquisition of data
policy issues of data
get data into a repository for the research project
Wednesday mornings