Principle 17: Data will be Analysable

Classification:  Data Principle

Statement: Data assets provide invaluable information to the enterprise for research and business intelligence decision-making when gathered, stored and accessed correctly.

Rationale: Making sound business decisions at all levels across the university is aided significantly by having access to timely accurate data from all systems, presented in the most appropriate way for the consumer.  Holding this data for all systems, services, functions and processes will enable an enterprise wide view on our estate, capabilities and the best utilisation of our resources throughout.  Systems included go beyond our traditional monitoring points of student, staff and financial data and will include areas such as, but not limited to, physical space usage, telephony usage, email usage, network statistics, all other areas of IT and beyond.

Implications:

  • Data will be gathered from all capable systems and stored in a centralised data warehouse repository.
  • Data which includes elements, which may be classified as personally identifiable, will be anonymised prior to being committed to the repository.
  • All new systems will be procured with the capability to store logs and other pertinent information within the repository.
  • Suitable analytical software will be used to extract required data from the repository and present to the consumer in the most appropriate way.
  • This data and the subsequent use of it will be subject to Information Security and Information Management policies, procedures and classifications as set out by Plymouth University.
  • “Data will meet data quality standards of accuracy, validity, reliability, timeliness, relevance, completeness and compliance with University regulations and statutory obligations, as established by the Data Quality Policy (draft).”