Concepts and Templates

Restricted content

By |2019-02-12T17:26:51+00:00February 12th, 2019|Concepts and Templates, Members Area|

This template is a version of the Stanford EDU data maturity assessment model.  It is formatted to allow each question to be assessed via a drop down box. When completed, a number of graphs representing the scores will be available for review. The original material is copyrighted for Stanford EDU, but free to use. Please find more details here.

Restricted content

By |2022-12-31T09:40:08+00:00December 12th, 2018|Concepts and Templates, Members Area|

Download it here: HESA-Schema-Data-Mapping-to-HE-Capability-Model-Web-v2.1 This free to use tool allow you to map the HESA Data Futures Schema to the UCISA HE capability map. It is provided without license or warranty! For more information, please read the accompanying blog post and the update for version 2.1 Latest update: V2.1: Capability Lookup Query, Additional analysis and ranking, new graphs and visualisations and new mapping functionality showing where a capability is both ‘captured’ and ‘used’. Bug fixes pointed out by a few people who downloaded it. Hope it proves useful. If you have any comments in questions, get in touch via the [...]

Restricted content

By |2022-12-31T09:30:34+00:00November 23rd, 2018|Concepts and Templates, Members Area|

This template gets you started with a place to define, store and understand the most important business terms in your institution. Details of how to get the best out of it can be found in this blog post. Data Glossary - web template v1.0

Restricted content

By |2018-10-06T20:18:57+01:00October 5th, 2018|Concepts and Templates|

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.

Restricted content

By |2022-12-31T09:36:12+00:00October 5th, 2018|Concepts and Templates|

2022 update. The link is for the later CAUDIT/HERM model developed by the UCISA EA CoP. I've not spent much time looking at this so some of my notes wil be out of date. The original model is not on UCISA's website anymore, but you can find it by googling. 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. The [...]

Restricted content

By |2022-12-31T09:38:28+00:00October 5th, 2018|Concepts and Templates|

This template is a PDF. 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 [...]

Restricted content

By |2022-12-31T09:41:32+00:00October 4th, 2018|Concepts and Templates|

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 [...]

Go to Top