Computational social science projects often quickly expand in the quantity and complexity of their data and software needs. This presentation introduces the core data management needs for working within these environments. These projects require more intentional planning and organization for preservation and analysis. Project organization, defensive documentation, reproducible research, formatting for preservation, backup, and planning will be covered.
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