Provisional Short Description of the IG
The Research Data Alliance (RDA) Interest Group for Digital Practices in History and Ethnography will address the data concerns of history as a research domain and those of the ethnographic disciplines (including cultural anthropology, folklore studies, ethnomusicology, interpretive sociology, and science and technology studies). This group proposes to build a medium sized tent (smaller than the whole of the digital humanities or of the social sciences, larger than a particular discipline) to explore strategies and frameworks for the collaborative care and use of research data of diverse types. The group will explore metadata standards for ethnographic and social/cultural historical "artifacts" -- here referring to a large and heterogeneous mixture of research objects (both found and created by researchers) that serve as data for these fields. These "artifacts" include the kinds of material objects found in museums, but also extends to interview transcripts, digital art, musical recordings, lab data, white papers, computer code, data visualizations, newspaper clippings, maps, train tickets, and other gray matter used in interpretive research to understand cultural phenomena. Related and crucial concerns include data sharing protocols, user agreements and other data-related intellectual property questions, citation practices and standards, digital platform questions, user interfaces, conceptions and uses of "big data" in the empirical humanities and interpretive social sciences, standards and protocols for digital exhibitions and their associated data and metadata, and sustainability and access issues for this research domain.
- Kim Fortun (Department of Science and Technology Studies, Rensselaer Polytechnic Institute) email@example.com
- Mike Fortun (Department of Science and Technology Studies, Rensselaer Polytechnic Institute) firstname.lastname@example.org
- Jason Baird Jackson (Mathers Museum of World Cultures, Indiana University) email@example.com
Consult the Longer Provisional IG Description