Research Evaluation and Data Analytics

Research Evaluation and Data Analytics 

Established in 2018, the Research Evaluation and Data Analytics (REDA) unit supports MSU AgBioResearch (ABR) through integrated, data-driven and AI-enabled solutions that strengthen research performance, efficiency, and impact across CANR, while fostering a culture of data-informed decision-making and continuous improvement. The unit is led by Jane Payumo, REDA’s Director, with oversight from George Smith, Director of MSU AgBioResearch. 

What We Do 

  • Transform complex institutional data into clear, actionable insights for CANR faculty and ABR leadership 
  • Enable data-informed decision-making across research and operations 
  • Support research impact measurement, reporting and return on investment (ROI) analysis 
  • Streamline processes through business process automation, data, and AI tools 

How We Support the Research Enterprise 

  • Integrated Systems: Connect data, workflows, and analytics into a unified ecosystem 
  • Automation: Leverage MSU’s Microsoft Power Platform (spartan 365) to improve efficiency 
  • Advanced Analytics: Apply data science methods for deeper insights 
  • Interactive Dashboards: Provide real-time, interactive reporting to support timely and informed decision-making 
  • Scalable Solutions: Build tools adaptable across departments and units 

Key Areas of Support 

  • Research Evaluation and Reporting – Track performance and impact 
  • Data Analytics and Decision Support – Inform strategic decisions 
  • Researcher Support and Resources – Provide tools and hands-on assistance 
  • Team Formation and Collaboration – Enable data-informed partnerships 
  • Operational Analytics – Improve workflows and resource use 

Team Composition 

  • Interdisciplinary team with qualitative and quantitative evaluation expertise 
  • Use of modern evaluation frameworks to assess and communicate research impact 
  • Data and computer scientists driving analytics, automation, and AI solutions 
  • Economist supporting prioritization, investment decisions, and ROI analysis 

Our Approach 

  • Deliver practical, scalable solutions integrated into existing MSU systems 
  • Combine data, technology, and strategy across the research lifecycle 
  • Collaborate closely with faculty and leadership to ensure solutions are usable and impactful 

For questions or collaboration, email abr.research.admin@msu.edu and check the ABR Data Hub for MSU colleagues. 

ABR Data Hub

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