Preserving Quantitative Research-Elicited Data for Longitudinal Analysis. New Developments in Archiving Survey Data in the U.S.
Mark Abrahamson, Kenneth Bollen, Myron Gutmann, Gary King, Amy Pienta. 2009.
"Preserving Quantitative Research-Elicited Data for Longitudinal Analysis. New Developments in Archiving Survey Data in the U.S.".
Historical Social Research, 34, 3, Pp. 51-59.
Abstract
Social science data collected in the United States, both historically and at present, have often not been placed in any public archive – even when the data collection was supported by government grants. The availability of the data for future use is, therefore, in jeopardy. Enforcing archiving norms may be the only way to increase data preservation and availability in the future.
See Also
- [Paper] Computational Social Science (2009)
- [Paper] Ensuring the Data Rich Future of the Social Sciences (2011)
- [Book] The Changing Evidence Base of Social Science Research (2009)
- [Paper] From Preserving the Past to Preserving the Future: The Data-PASS Project and the Challenges of Preserving Digital Social Science Data (2009)
- [Presentation] Finding, Citing, Analyzing, Disseminating, and Preserving Quantitative Data (2006)
- [Paper] Survey Data and Human Computation for Improved Flu Tracking (2021)
- [Presentation] Big Data Is Not About the Data! (2018)
- [Presentation] Big Data Reveals Made Up Data: How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument (2017)