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Common data language

One of the biggest causes of unnecessary burden in data collections is the failure to adopt common data definitions. This prevents the rationalisation of reporting processes in HE providers and it means that data cannot be shared and compared by data collectors.

One of the four pillars of the HEDIIP architecture for the information landscape is the development and adoption of a common data language for HE data collections. HESA, working with the HE Data Landscape Steering Group, leads on this work on behalf of the HE sector.

We develop and manage a data architecture including a logical data model, a data dictionary and glossary of terms. The Data Landscape Steering Group oversees the development of this architecture and promotes its use among other data collecting organisations.

We also manage the HE Classification of Subjects (HECoS) which has been developed as a replacement for the Joint Academic Coding System (JACS) which can be used by a broad range of HE-related bodies.