To support Data Standards, the concept of a Data Transformation Framework has been developed. The aim of the Framework will be to improve and enable data reuse in the Scottish Public Sector. It will outline realistic and measurable maturity stages – setting out what ‘good data’ looks like and the process by which organisations can improve. It will highlight drivers and associated objectives, and demonstrate how agencies can develop and embed data in their business activities and improve data reuse.
The foundation use of the Framework will be defined by the outputs of Data Maturity Assessments. On completion of an assessment Scottish Public Sector organisations can use their findings to follow customised maturity pathways in the Framework to support the planning and delivery of data improvements.
Data maturity pathways will be designed to help organisations identify priorities to address, developed around data transformation categories and the Framework maturity stages. To support the data maturity pathways, the Framework will provide a gateway to a range of resources. It will be a living resource, a Knowledge repository that organisations will add and update over time.
A pilot project has recently been carried out to review specific data maturity models, reviewing their fitness for use across the Scottish public sector, and identifying user needs and requirements to implement full delivery.
To support the DTF, research needs to be carried out to develop its first iteration: the processes and structure for data maturity pathways and their associated resource types, as well as methods of measurement to support organisations on their data journeys. This work will be done in collaboration with data maturity project participants, Scottish Government, the Digital Office, Improvement Service and other partners. The successful applicant will research, investigate and develop:
- Category development for the Data Transformation Framework, defining the categories, developing the sub-categories and validating these with the wider community
- Landscaping and development of the validated models, developing maturity stages
- Category pathways – data maturity model alignment, content scoping and mapping