Digital Scholarship Working Group
The DLF Digital Scholarship Working Group formed at the 2017 Forum in Pittsburgh to provide a community within DLF for those working in digital scholarship broadly or digital humanities specifically and sharing the charge of supporting digital research projects, coordinating community efforts, and building partnerships on our campuses.
The Google Group serves as a forum for continued and expanded conversations, planning, and tip-sharing. Each month, a guest moderator drives conversations on a specific topic of their choosing. The group is open to anyone interested in digital scholarship and digital humanities work in libraries. Join here.
#DLFds Twitter Chats
Twitter chats provide a forum for discussing specific topics of interest proposed by members of our group. Members may propose a topic by posting to the Google Group or review previous chats here.
We're always on the lookout for creative, rapid-prototype, distributed-effort ways of engaging with each other. If you have any creative idea you want us to pursue that will help us understand an issue or improve our work, please post it for discussion on the Google Group.
DLFxDHSI was a one-day unconference—a grassroots, conversation-based event without predetermined presentations—on the theme of digital libraries, digital humanities, and social justice, hosted by the Digital Library Federation in partnership with the Digital Humanities Summer Institute (DHSI) in Victoria, BC, June 8-9, 2018. The event began on Friday with DLF Executive Director Bethany Nowviskie's DHSI Institute Lecture "Reconstitute the World: Machine Reading Archives of Mass Extinction" and a joint DLF/DHSI poster/digital demo session and reception. The highly collaborative and interactive DLFxDHSI Unconference ran throughout the day on Saturday. Find the shared notes for unconference sessions here.
Digital Scholarship Organizational Structure
At the 2018 DLF Forum breakfast session, DSWG began answering the question "What does your Digital Scholarship environment look like?," collecting data from members about job titles, unit names, team members, contingent positions, reporting lines, main issues, etc. Additions and reuses of the open access, crowdsourced dataset are welcomed.