Digital Humanities
Developing tools and methods to digitize artifacts and discover new knowledge in collections related to human rights and cultural legacies.
Research Projects
UMD INFO College Fellows Program at the National Agricultural Library
Principal Investigator(s): Katrina Fenlon
Funder: US Department of Agriculture
Research Areas: Archival Science > Digital Humanities > Library and Information Science > Youth Experience, Learning, and Digital Practices
Principal Investigator(s): Katrina Fenlon
Funder: US Department of Agriculture
Research Areas: Archival Science > Digital Humanities > Library and Information Science > Youth Experience, Learning, and Digital Practices
Crowdsourced Data: Accuracy, Accessibility, Authority (CDAAA)
Principal Investigator(s): Victoria Van Hyning
Funder: Institute of Museum and Library Services
Research Areas: Accessibility and Inclusive Design > Digital Humanities > Information Justice, Human Rights, and Technology Ethics > Library and Information Science > Social Networks, Online Communities, and Social Media
CDAAA explores the sociotechnical barriers libraries, archives, and museums face in integrating crowdsourced transcriptions to discovery systems. Using data from surveys, semi-structured interviews, data integration demonstrations, and user testing with people who use screen readers, we will produce individualized LAM Partner Reports, a summative white paper, and open-access journal articles.
Principal Investigator(s): Victoria Van Hyning
Funder: Institute of Museum and Library Services
Research Areas: Accessibility and Inclusive Design > Digital Humanities > Information Justice, Human Rights, and Technology Ethics > Library and Information Science > Social Networks, Online Communities, and Social Media
CDAAA explores the sociotechnical barriers libraries, archives, and museums face in integrating crowdsourced transcriptions to discovery systems. Using data from surveys, semi-structured interviews, data integration demonstrations, and user testing with people who use screen readers, we will produce individualized LAM Partner Reports, a summative white paper, and open-access journal articles.
Inverting Colonial Archival Structures: Increasing Discovery and Access for Indigenous Communities through SNAC
Principal Investigator(s): Diana E. Marsh
Funder: Institute of Museum and Library Services
Research Areas: Accessibility and Inclusive Design > Archival Science > Digital Humanities > Library and Information Science > Social Networks, Online Communities, and Social Media
Inverting Colonial Archival Structures: Increasing Discovery and Access for Indigenous Communities through SNAC (Indigenize SNAC) aims to test discovery and access of archival records for indigenous communities through the web platform Social Networks for Archival Contexts (SNAC). The project is funded by the IMLS Laura Bush 21st Century Librarian program.
Principal Investigator(s): Diana E. Marsh
Funder: Institute of Museum and Library Services
Research Areas: Accessibility and Inclusive Design > Archival Science > Digital Humanities > Library and Information Science > Social Networks, Online Communities, and Social Media
Inverting Colonial Archival Structures: Increasing Discovery and Access for Indigenous Communities through SNAC (Indigenize SNAC) aims to test discovery and access of archival records for indigenous communities through the web platform Social Networks for Archival Contexts (SNAC). The project is funded by the IMLS Laura Bush 21st Century Librarian program.
Faculty
Staff
Recent News
(Video) CAFe Presents: “Archiving the Crisis: What urgency should archivists feel regarding living archives of state-sponsored violence?”
Doran Larson discusses the American Prison Writing Archive and its role in amplifying incarcerated voicesA UMD library researcher helped create the first update to nationwide guidelines on jail and prison libraries in 32 years; they add new guidance on accessibility, among other measures designed to maximize the facilities' benefit to incarcerated people. Illustration by Valerie Morgan.