A study proposing a data model for a dementia care mapping (DCM) data warehouse for potential secondary uses of dementia care data

NoCopying or distributing in print or electronic forms without written permission of IGI Global is prohibited. There is growing emphasis on sharing and reusing dementia care-related datasets to improve the quality of dementia care. Consequently, there is a need to develop data management solutions for collecting, integrating and storing these data in formats that enhance opportunities for reuse. Dementia Care Mapping (DCM) is an observational tool that is in widespread use internationally. It produces rich, evidence-based data on dementia care quality. Currently, that data is primarily used locally, within dementia care services, to assess and improve quality of care. Information-rich DCM data provides opportunities for secondary use including research into improving the quality of dementia care. But an effective data management solution is required to facilitate this. A rationale for the warehousing of DCM data as a technical data management solution is suggested. The authors also propose a data model for a DCM data warehouse and present user-identified challenges for reusing DCM data within a warehouse

Academic discourse across disciplines.

This volume reflects the emerging interest in cross-disciplinary variation in both spoken and written academic English, exploring the conventions and modes of persuasion characteristic of different disciplines and which help define academic inquiry. This collection brings together chapter by applied linguists and EAP practitioners from seven different countries. The authors draw on various specialised spoken and written corpora to illustrate the notion of variation and to explore the concept of discipline and the different methodologies they use to investigate these corpora. The book also seeks to make explicit the valuable links that can be made between research into academic speech and writing as text, as process, and as social practice