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Generate/Acquire and Process/Analyze

Generating or Acquiring Data

The generation of raw research data and/or the acquisition of research data by an organization.

Considerations for different data types in research projects.
Category PI Considerations
Sources of Raw Data  
  • Generated in-house experimentally or computationally 
  • Collected from external sources
Experimental Data Generation
  • Instruments and metadata
  • Measurement protocols
  • Methods for data and metadata capture and recording
Computational Data Generation 
  • Methods for computational (metadata) capture and recording
FAIR Principles for Data Generated In-House
  • Data born FAIR
  • Data made FAIR
External Data Sources
  • Collected directly from participants
  • From a third-party
  • From the WVU Health System
    (clinical data from the EMR and other clinical systems)
  • Data acquired FAIR
  • Metadata harvesting
  • Approved Software
  • Available Licenses
  • Unapproved Software

Processing and Analyzing Data

The actions performed on generated or acquired research data to yield processed research data and organizational research data stewardship.

Data categories and PI considerations for each category. 
Category PI Considerations
Data Provence
  • Original authoritative Copy
  • Version identification
  • Origin of data derived of other data
  • Origin of scientific records access all the outputs
  • Timestamping
Storage Plans
  • HIPAA Compliant on-premise and cloud plans
  • Sensitive Data Compliant on-premise and cloud plans
  • Medium Risk Data Plans
  • Low-Risk Data Plans
(Share/Transfer raw data during research)
  • Transferring Data to external parties - One time transfer, original copy cannot be modified by the third party.
  • Sharing Data with external parties  - Giving access to WVU systems and data to third parties - the original copy can be modified by the third party.
  • Will agreements be required for the transfer or share?
Data Inventory/Curation
  • Formats and Standards
  • Catalogs
  • Interoperability (access instrument manufactured file formats)
  • Resources for formatting and curation
  • Metadata standards
  • Linked data structure
  • Persistent identifiers (Digital Object Identifier - DOI)