NTRES 6600

Research Data Management Seminar

Course Description

Course information provided by the Courses of Study 2016-2017.

In an era that confronts us with an overwhelming capacity to collect data, knowing how to manage data is essential. Not only does the National Science Foundation (NSF) require a data management plan with all grant applications, growing numbers of funders and publishers have data sharing requirements. Data management is equally important for the individual researcher trying to document, organize and evaluate empirical information. In this course, we will discuss best practices for organizing data for efficient statistical and graphical analysis, developing science metadata, and sharing and archiving research data.

When Offered Spring.

• Describe their research data lifecycle in order to identify areas for improvement in the research and data management process.
• Follow principles involved in creating a flat database.
• Follow best practices in structuring relational databases in order to make analysis and retrieval easier/more efficient for long-term studies.
• Evaluate disciplinary data repositories in order to determine requirements and suitability for data deposit.
• Use the documentation accompanying a data set in order to evaluate data quality.
• Create appropriate documentation in order to prepare data for effective long-term use and reuse by yourself or others.

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