The information that forms the records of an operating facility are increasingly being recognized as a vital part of a facility. This 'digital asset' reflects the value of data that mirrors the physical assets. The genesis of this digital asset (engineering data) is created and collected from various disparate sources. This information is also consumed by a variety of disparate functions. To facilitate the efficient creation, manipulation and consumption of engineering information it is important to define a master data model for the whole asset lifecycle. The identification of the information requirements of each of the asset lifecycle phases, processes and technologies produces a master data model that forms part of an organizations information governance strategy. This governance provides contractual clarity to stakeholders involved in producing data such as vendors and suppliers. It supports project execution strategies such as BIM and Lean. A master data model is key for integration projects across business function and lifecycle phases. It is a significant element in an engineering information gathering and remediation exercise for existing facilities.