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From Preserving the Past to Preserving the Future: The Data-PASS Project and the Challenges of Preserving Digital Social Science Data
Author(s) -
Myron P. Gutmann,
Mark Abrahamson,
Margaret O. Adams,
Micah Altman,
Caroline Arms,
Kenneth A. Bollen,
Michael Carlson,
Jonathan Crabtree,
Darrell Donakowski,
Gary King,
Jared Lyle,
Marc Maynard,
Amy Pienta,
Richard C. Rockwell,
Lois Timms-Ferrara,
Copeland H. Young
Publication year - 2009
Publication title -
library trends
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.581
H-Index - 48
eISSN - 1559-0682
pISSN - 0024-2594
DOI - 10.1353/lib.0.0039
Subject(s) - general partnership , alliance , digital preservation , computer science , data science , world wide web , public relations , political science , law
Social science data are an unusual part of the past, present, and future of digital preservation. They are both an unqualified suc cess, 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 Na tional Digital Information Infrastructure and Preservation Program (NDIIPP), which is a partnership offive major U.S. social science data archives. Broadly speaking, Data-PASS has the goal ofensuring 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-PAc'iS 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 increas ingly 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.

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