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. Hope it proves useful. If you have any comments in questions, get in touch via the contact form, or leave me a note here.
Some combinations just work; Bacon and Eggs, Fred and Ginger, Tom and Jerry, Sheringham and Shearer and - of course - Angus and Malcolm Young of AC/DC. Okay the last one might not be for everyone, but segues into the idea of this article. For universities developing solutions for in-year reporting to the Office for Students, there is a raft of material available. Most of which is provided by HESA as part of the 'Data Futures' Programme*. The most important of which is the Data Dictionary (or schema)which defines all the entities and attributes mandated for each reference point. I've seen [...]
What is it? A business glossary is a cornerstone of any successful data governance framework. It underpins much of the effort to assess, track and improve the data asset. A properly formed glossary is the foundation for driving up the utility of data. It does this by generating trust in that data because we know what it means, and the quality at which it is held. It is therefore an institution wide, agreed business view of the most important data and where it is used. As such, it's a key tool for data stewards and owners to move data out of [...]
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 [...]
This document offers a brief introduction into the how, why and what of conceptual modelling. For more information please get in touch via our Contact Form […]
Alex has worked with over fifty UK universities, most of the sector agencies including University and Colleges Admissions Service (UCAS), Higher Education Statistics Agency (HESA) and the Quality Assurance Agency for Higher Education (QAA) and a host of practitioners in the Higher Education (HE) sector. Alex designed and developed the HEDIIP data capability framework, led the team to create the HESA in-year collection model and designed both a sector level and a HESA instance of a best practice data governance approach; and is currently working with universities to develop and implement their Data Governance frameworks, How long have you been working in [...]