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Observational: data captured in real-time, usually irreplaceable (e.g., censor data, telemetry, survey data, sample data, neuroimages)
Experimental: data from lab equipment, often reproducible, but can be expensive (e.g., gene sequences, chromatograms, toroid magnetic field data)
Simulation: data generated from test models where model and metadata (inputs) are more important than output data (e.g., climate models, economic models)
Derived or compiled: data that is reproducible, but very expensive (e.g., text and data mining, compiled database, 3D models, data gathered from public documents)
Data description
Standards
Access, Sharing, and Re-use
Screencast
All CUNY faculty members, postdoctoral scholars, graduate and undergraduate students involved in research are required to complete the CITI RCR training within six weeks of initiating their research. The Research Integrity Officer at GC-CUNY is Adrienne Klein.
CUNY Computing and Information Services: Security Policies & Procedures
CUNY Computing and Information Services: Endpoint Encryption Best Practices
CUNY Human Research Protections Program
CUNY Academic Commons: Data Management Tools (Note: Some of the tools listed on this page may not be appropriate for data management plans or long-term data management.)