The Data Capability toolkit originally developed in the HEDIIP programme is now hosted at HESA: https://www.hesa.ac.uk/support/tools/data-capability. The template we've provided here is a version tweaked to get your started with Data Futures. We have added a set of objectives, issues, aspirations and gaps which reflect the challenges and opportunities which come with a successful implementation of in-year reporting. This template has been used in a detailed form for a number of universities to develop their Data Futures scope and plan.
These are the basic documents for the generic UK Higher Education Capability Model. These outputs are taken from the published UCISA EA CoP: In future templates, there will be a number of 'how to' articles so it's useful to store a copy here for you to refer too. T The three files are: Capability Model: This is the generic model developed by the EA group. It will require customising for your university. That customisation is dependant on what you want to do with it, and what kind/size of institution you are. Capability Definitions: Each capability has an associated definition. There [...]
This template is a powerpoint slide. It is the basis of a framework for a Data Governance accountability matrix and operating model. Many of the other templates will reference this model as it has been designed and implemented specifically for UK universities. The main features are: Business ownership of data. This is shown by the key business roles of Data Owner, Steward, Producer and Consumer all being held within the areas of subject matter expertise (roles and responsivities will be covered in more detail in a future template) Clear lines of accountability. The owners set the policy based on the university [...]
This is not an exhaustive list of all data governance activities you may wish to undertake. Rather it is a set of themes that are generally involved in implementing successful data governance. Each university needs to look at their own requirements, priorities, current state of maturity, resources and budget and senior management buy-in to understand which activities are most important, and in which order. The four themes are: Data Strategy and Policy: How to build the 'rules of the road' for data and showing how this approach visibly supports the wider objectives Development of a framework: What will data governance look [...]
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