Session Chair: Amanda Henley (Univeristy of North Carolina at Chapel Hill University Libraries)
Collections as Data: The Outtakes Dominique Luster(1), Samantha Ticknor(2), Tyrica Kapral(3) 1: Carnegie Museum of Art; 2: Independent Creative Technologist; 3: University of Pittsburgh
While the goals with the Collections as Data project have been extraordinary, the discovery of unexpected lessons-learned has been equally remarkable. In this session, teams at Carnegie Museum of Art and the University of Pittsburgh share some of our most quirky and unexpected roadblocks in working with machine actionable data.