Curious about the emerging “technologies and standards that empower historians to take control of their own digital texts and data for research, teaching, and publishing”? This roundtable discussion brings together leading historian-editors and technologists to discuss the current state of the art in preparing digital texts for online research and analysis. Paul Israel, Director and General Editor of the Thomas A. Edison Papers at Rutgers University will chair the roundtable and discuss efforts to integrate digital texts with an existing digital image edition and to develop a long-term preservation and access strategy for the metadata and data of these editions. Ben Brumfield, a partner at the digital humanities software consultancy Brumfield Labs, will address options available to editors concerned about making digital editions as easy to preserve as traditional print. Jennifer Stertzer, Senior Editor of the Washington Papers and Director of the Center for Digital Editing at the University of Virginia, will discuss the project’s experimentation with and development of digital tools and platforms to facilitate all aspects of editorial work, digital publication, and broad accessibility. Andrew J. Torget, general editor and director of the Digital Stephen F. Austin Papers (DAP), will discuss the project’s ongoing efforts to experiment with new digital methods for finding meaningful patterns scattered across numerous documents, focusing, in particular, on efforts to apply sentiment analysis and digital mapping to the DAP corpus. Joseph C. Wicentowski, the Digital History Advisor at the Office of the Historian (U.S. Department of State), will discuss the ideas guiding his office's effort to digitize the half-million page, 150-year-old Foreign Relations of the United States (FRUS) series, the official documentary record of U.S. foreign relations, and several other publications and datasets, including the use of the Text Encoding Initiative, an open standard used extensively in digital text projects, and GitHub for making available source code and raw data.