What does it mean to manage and share research data? What are best practices for developing data management plans and increasing access to the results? How are human subject and qualitative research data managed in the social & behavioral sciences and humanities? This informative presentation will explain the motivations behind federal mandates and University policies regarding open data sharing. Participants will learn practical data management skills including file naming, version control, creating data management plans, and crafting subject-specific metadata in the Data Documentation Initiative (DDI) format. Data archiving options for institutional repositories will be discussed and University data planning, analysis, and archiving services available throughout the research data lifecycle will be described.

At the conclusion of this class, you should be able to:

• Summarize the motivations behind federal mandates and University policies regarding open data sharing 
• Describe practical data management skills including file naming, version control, creating data management plans, and crafting subject-specific metadata in the Data Documentation Initiative (DDI) format 
• Identify data archiving options for institutional repositories
• Describe University data planning, analysis, and archiving services available throughout the research data lifecycle