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Criteria for benchmarking - Data Services

Criteria for benchmarking - Data Services

GIS & Data Viz

Existence and Quality of GIS training and consulting support
Overall sophistication of GIS utilization: expertise, productivity, community
Software: availability, quality, IP arrangements such as site licensing
GIS data resources and their availability and discoverability
Physical plant: workstations, labs, other dedicated facilities
Visualization: Facilities, Software, Consultation, and Training

Data Analysis 

Availability of software and hardware to meet existing and evolving needs for both data
analysis and teaching & research
Broad, coherent support across both Qualitative and Quantitative analysis techniques
Broad range of relevant training and consulting services
Covers scope of demand from novice to advanced user needs
Service integration with other instructional & research areas (HPC, GIS, Research
Computing, DMP) to support full lifecycle
Strong institutional subsidies for software licenses

RDM 

Overall research data program coordination
Data management planning tool or support (e.g., DMPTool)
Collaboration services for active research data management and curation
Data repository or preservation service
Data discovery, reuse, curation, and citation services
Consulting, training and workshops