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ODM is a vendor-neutral, platform-independent format for interchange and archive of clinical study data. The model includes the clinical data along with its associated metadata, administrative data, reference data and audit information. [8] ODM was first introduced in 1999, and the latest version, 1.3.2, was released in 2012. [9]
The Kimball lifecycle is a methodology for developing data warehouses, and has been developed by Ralph Kimball and a variety of colleagues. The methodology "covers a sequence of high level tasks for the effective design , development and deployment " of a data warehouse or business intelligence system. [ 1 ]
In this sense, ILM is a part of the broader framework of enterprise content management. The term "business" is used in a broad sense, encompassing more than just commercial and enterprise activities. While many records pertain to business operations, others document historical events or significant moments unrelated to business endeavors.
PERA is a reference architecture that can model the enterprise in multiple layers and in multiple stages of the architectural life cycle. Initially PERA was part of the PERA methodology, which consisted of three main building blocks: [2] Purdue Enterprise Reference Architecture, Purdue Reference Model, and; Purdue implementation procedures manual
A computerised nursing care plan is a digital way of writing the care plan, compared to handwritten. Computerised nursing care plans are an essential element of the nursing process. [8] Computerised nursing care plans have increased documentation of signs and symptoms, associated factors and nursing interventions. [8]
The enterprise life cycle is a key concept in enterprise architecture (EA), enterprise engineering [2] and systems engineering. [3] The Enterprise Architecture process is closely related to similar processes, as program management cycle or systems development life cycle, and has similar properties to those found in the product life cycle. [4]
A data management plan or DMP is a formal document that outlines how data are to be handled both during a research project, and after the project is completed. [1] The goal of a data management plan is to consider the many aspects of data management, metadata generation, data preservation, and analysis before the project begins; [2] this may lead to data being well-managed in the present ...
A real-life ETL cycle may consist of additional execution steps, for example: Cycle initiation; Build reference data; Extract (from sources) Validate; Transform (clean, apply business rules, check for data integrity, create aggregates or disaggregates) Stage (load into staging tables, if used) Audit reports (for example, on compliance with ...