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admin 10.04.2015

This architectural pattern is designed to optimise an agency's data architecture for information integration, interoperability, discovery and sharing.
Data Context standardisation area: the focus is on management mechanisms to capture the context of data in an organisation or COI.
Taken as a whole, the DRM abstract model should be used by agencies to assess the current state of their data architectures and to chart a road-map to an improved architecture. Following the public unveiling of the all-new Tesla Model 3 yesterday, company CEO Elon Musk has sent out a tweet confirming there has since been 180,000 pre-orders.
The Model 3 will be quite different vehicle to the Model S and Model X, both of which helped the company raise revenue to develop the Model 3.
Tesla set up an online order system which allowed customers to pre-order the car, requiring a refundable US$1000 deposit, or AU$1500 here in Australia.
Elon Musk confirmed yesterday the Model 3 would start at US$35,000, with an Australian price likely to be around the $50-60,000 mark. So far it has been confirmed the Model 3 will come with Autopilot hardware as standard, and all Autopilot safety features as standard on all models. Deliveries will kick off in late-2017, with existing Tesla customers set to get priority on deliveries.
Condition is excellent to like-new, with a light surface marked area on the left side of the barrel, that's still smooth to the touch, see last picture. It shows the major concepts from each standardisation area and the relationships between them. It is abstract in that it allows multiple technical implementations; for example, one agency could use the US DOD Discovery Metadata Specification (DDMS) for Digital Data Resource attributes while another agency may choose to use the AGLS Metadata Standard 22 elements and both could demonstrate how their implementation maps to the DRM abstract model.

The pattern achieves this optimisation by defining, arranging and relating the standard concepts in a data architecture, specifying common attributes for each concept (presented in tables following the abstract model section figure in each chapter) and demonstrating a use case of the model in each chapter. Those mechanisms are Taxonomies (a hierarchical set of Topics connected by relationships) and a Data Asset description (captured in an inventory). There are two basic types of metadata recommended in the Data Description section of the DRM abstract model: logical data models to describe Structured Data Resources and Digital Data Resource metadata (such as AGLS Metadata Standard elements) to describe Semi-Structured and Unstructured Data Resources. The key concepts are Exchange Packages as containers for fixed messages and Query Points as descriptions of data access points. In inter-agency collaborations, this abstract model provides the capability to decipher specific implementations of these common concepts and thus speed effective communication to deliver cross-organisational agility to a COI. Unlike those two, the new mid-size sedan is being marketed as mass-produced vehicle kicking off at an affordable price. Punters were camping outside local dealerships to get their order in as soon as possible, and this is despite Australian prices not being announced yet. It will also come with front and rear boots and the largest cargo capacity in its class, a glass roof, a massive on-board touch-screen, and Supercharging capability, all as standard. That already hits half of the company’s aim to produce 500,000 vehicles per year by 2020. A Data Asset is a collection of Digital Data Resources that is managed by an organisation, categorised for discovery and governed by a data steward. The division of data along these two axes is intended to support harmonisation (via¬† comparison of logical data models) and registration (via description of universal resource attributes). Implementation of Exchange Packages could be standard XML messages or EDI transaction sets.

Each section of the DRM abstract model represents the core concepts and the relationship of those concepts within its respective standardisation area. Needless to say, we think buyers will be waiting longer than expected for their Model 3 order. He's obsessed with driving, having played with Matchbox cars until he was tall enough to drive a real one. A key attribute of a Data Asset is whether it is authoritative and, if so designated, authoritative on which Entity or Attribute of the logical data model (see Data Schema in the Data Description section of the DRM abstract model).
Implementation of the Data Schema concept group would take the form of Entity-Relationship diagrams, class diagrams, etc. Implementation of Query Points could be descriptions in a Universal Description, Discovery and Integration (UDDI) or ebXML registry of a data access web service.
Each section represents the minimal level of detail necessary to convey the major concepts for the standardisation area, with COIs extending the model as necessary for their implementations.
Implementation of Taxonomies could take the form of eXtensible Markup Language (XML) Topic Maps, Web Ontology Language (WOL) hierarchies or ISO 11179 Classification schemes. Implementation of the Digital Data Resource could be records in a content management system or metadata catalogue.

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