IEEE P1484.11.1/D1, Sept 2021 PDF | Request Standard
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IEEE P1484.11.1/D1, Sept 2021

Data Model for Content Object Communication

Standard by IEEE, 2021

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  • Availability: Immediate Download
  • Language: English
  • License Type: Single User
  • Updates: Not Included
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  • Language: English
  • License Type: Enterprise / Multi User
  • Updates: Included

About This Item

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P1484.11.1/D1, Sept 2021 is a draft technical standard focused on the data model for content object communication in computing and processing environments. It addresses how content objects are represented and exchanged so systems can interpret data more consistently. For organizations working with digital content workflows, this standard can help define a clearer structure for communication, support interoperability, and reduce ambiguity in implementation and testing.

P1484.11.1/D1, Sept 2021 overview

The purpose of P1484.11.1/D1, Sept 2021 is to define a common data model for content object communication, giving developers and systems integrators a more precise basis for exchanging structured information. In a computing context, that kind of specification is important when content must move between applications, repositories, or processing tools without losing meaning. As a draft standard, P1484.11.1/D1, Sept 2021 is relevant for review, alignment, and early-stage technical planning.

Typical use cases

This standard is typically relevant in software platforms that manage educational, technical, or media content objects, especially where metadata and object relationships must remain consistent across systems. It may also support content management workflows, interoperability testing, and integration between authoring tools, repositories, and delivery applications. In computing and processing projects, P1484.11.1/D1, Sept 2021 can be useful when teams need a shared model for describing, transferring, or validating content object communication.

Why this standard matters

P1484.11.1/D1, Sept 2021 matters because a defined data model can reduce implementation differences and make technical interfaces easier to maintain. For procurement, design control, and testing, a clear standard helps teams compare solutions against the same expectations. It can also lower integration risk by improving consistency in how content objects are handled across systems. When communication rules are ambiguous, errors in parsing, exchange, or validation are more likely.

  • Data model for content object communication
  • Computing and processing context
  • Structured exchange and interpretation of content objects
  • Draft standard for technical review
  • Interoperability and implementation alignment
SKU: a837260c12d2

  • Publication Date: 2021
  • Standard Status: Inactive
  • Publisher: IEEE
  • Subject: Computing and Processing
  • Official IEEE: Doi link

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