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Data Governance Impact

Data Governance

Beginning in Fall 2019, Fairmont State undertook a phased approach to augment and sustain the institution’s capacity to consistently manage, store, and utilize data from its databases in order to enhance a robust institutional reporting schema, ensure data privacy and security compliance, and enable informed-decision-making and rigorous research across the University.

In Phase 1, a Data Governance workgroup was established and collectively chose to focus on reviewing and addressing database and reporting issues in most urgent need of address, including procedural and nonprocedural matters, in addition to identifying areas of opportunity to enhance data literacy across the University. Phase one began in November 2019 and was completed in Summer 2020 before a general monitoring period was instituted so the team could address issues related to COVID-19 and the phased return to campus.

In Phase 2, a Data Governance workgroup will focus on developing procedures, policies, and best practices for maintaining and monitoring data integrity, data access, data usage in addition to increasing data literacy. Phase two will begin in February 2022.


To maintain data integrity, control data access, oversee data usage, monitor and maintain data security, establish infrastructure to support research and reporting.


  • Create a data dictionary, metadata repository, and other tools to facilitate ease of use, clarity, and accuracy
  • Review business processes to ensure that we are following best practices in terms of data recording and usage
  • Establish responsibility and processes to ensure data accuracy
  • Establish a change management process for data governance
  • Establish education and communication procedures to improve data literacy
  • Establish business processes, trainings and review procedures to ensure data security
  • Establish procedure for the request and release of data
  • Create a data store to facilitate ease of reporting and research
  • Create a robust infrastructure to support data-driven decision making
  • Establish routine protocols to continually review our data and processes and make needed improvements and corrections

Guiding Principles

  • Data integrity is everyone’s responsibility
  • Data governance should be built on collaboration and transparency
  • Data is an institutional asset, not the property of any single office
  • Data governance review should precede analytical use of the data
  • Data governance progress is also a continuous improvement process

Phase 1 Deliverables 2019-2020

Data Access

IR began developing an interactive website to house multiple data dashboards, reports, analyses and data literacy initiatives in a one-stop shop format for users. All data which can be made publicly available will be housed here. In addition, systemic and standardized reviews of Argos access permissions and usage history were established and continue to be conducted to identify reports that needed to be reviewed, and subsequently edited or removed due to changes in data definitions.