Formal Assessment and Measurement of Data Utilization and Value for Mines

W. Pratt Rogers, M. Mustafa Kahraman, Sean Dessureault

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Most contemporary mines have considerable amounts of data. Structured and unstructured large data sets are colloquially named big data. Much of the data in mining operations come from a variety of systems, each with different databases and reporting environments. Standard technology deployments create a “silo-ification” of data leading to poor system benefit. Through modern server monitoring and systematic approach, data utilization and value can quantifiably be measured. The Data Utilization and Value Index (DUVI) can quantify business intelligence best practices and user interaction. This study seeks to provide a data management tool to measure data utilization across the process of converting data into action.

Original languageEnglish (US)
Pages (from-to)257-268
Number of pages12
JournalMining, Metallurgy and Exploration
Issue number2
StatePublished - Apr 1 2019


  • Data management
  • Data utilization
  • Data valuation
  • Sociotechnical systems
  • Technology return of investment

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Chemistry
  • Geotechnical Engineering and Engineering Geology
  • Mechanical Engineering
  • Metals and Alloys
  • Materials Chemistry


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