Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"
Gutmann, Myron, Mark Abrahamson, Margaret O. Adams, Micah Altman, Caroline Arms, Kenneth) Bollen, Michael Carlson, Jonathan Crabtree, Darrell Donakowski, Gary King, Jared Lyle, Marc Maynard, Amy M. Pienta, Richard Rockwell, Lois Timms-Ferrara, and Copeland H. Young. 2009. "From Preserving the Past to Preserving the Future: The Data-PASS Project and the Challenges of Preserving Digital Social Science Data." Library Trends, 57(3): 315-337.
Social science data are an unusual part of the past, present, and future of digital preservation. They are both an unqualified success, due to long-lived and Sustainable archival organizations, and in need of further development because not all digital content is being preserved. This article is about the Data Preservation Alliance for the Social Sciences (Data-PASS), a project supported by the National Digital Information Infrastructure and Preservation Program (NDIIPP), which is a partnership of five major U.S. social science data archives. Broadly speaking, Data-PASS has the goal of ensuring that at-risk social science data are identified, acquired, and preserved, and that we have a future-oriented organization that Could collaborate on those preservation tasks for the future. Throughout the life of the Data-PASS project we have worked to identify digital materials that have never been systematically archived, and to appraise and acquire them. As the project has progressed, however, it has increasingly turned its attention from identifying and acquiring legacy and at-risk social science data to identifying ongoing and future research projects that will produce data. This article is about the project's history, with an emphasis of the issues that underlay the transition from looking backward to looking forward.
Country of focus: United States of America.