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This is the top level page for the Central Data Service Playground project.

Table of contents:

Sub-pages below this one:

Introduction

The Central Data Service Playground (CDSP) serves as a neutral, open playground for data services both within and outside the vehicle in the context of data-centric architectures. It enables investigation into the internals of these services and how they can be combined. Furthermore, the playground provides a means to publish and collaborate on such work in the open.

Further information can be found in the project documentation site.

The playground was conceived to meet various Covesa needs:

  • A neutral playground to investigate internals of data services. In the context of data-centric architectures for example.
  • A neutral playground to investigate, illustrate and disseminate combining data services and the Covesa eco-system with other parts of the vehicle and off-board. For example, to demonstrate how VSS data can be used with VISS for newcomers.
  • Repeated use of shared terminology, patterns and tools leads to quicker understanding in discussions, shared costs in development and can lead to quicker outcomes.
    • Jump from 'what is the box' to 'how are we using the box' for example.

The original proposal for the project can be found here.

Project resources

Here you will find information on how the project is managed.

ResourceNotes
Source repositoryhttps://github.com/COVESA/cdsp
Documentationhttps://covesa.github.io/cdsp/
Project managementCOVESA Github Project Central Data Service Playground
ChatCovesa Community Slack channel #data-architecture-pillar: https://covesacommunity.slack.com/archives/C06353TRF5F


Presentations

EventTitleNotes

'25 Spring AMM

(Berlin)

Moving Beyond IF-ELSE: Integrating Rule-Based Semantic AI in CDSP

Abstract: "In the world of problem-solving, probabilistic methods like machine learning are often seen as cutting-edge, offering flexibility and power. However, when the need for clear, deterministic outcomes arises—where every decision needs to be explained and understood—these methods can fall short. Enter classic IF-ELSE programming. It provides a more structured and predictable way to handle decisions. But, as effective as it is, IF-ELSE programming has its own pitfalls. Logic becomes scattered across multiple systems, updates become cumbersome, and it’s hard to trace how certain decisions were made. Recognizing these challenges, the latest AI feature integrated into the CDSP introduces rule-based semantic reasoning, effectively overcoming the limitations of traditional IF-ELSE programming by offering clarity, consistency, and improved traceability in decision-making processes"

'25 Spring AMM

(Berlin)

Introduction to the COVESA Central Data Service Playground (CDSP)

Updated Introduction to the project.

'24 Autumn AMM

(Detroit)

Introduction to COVESA Central Data Service Playground

Discover what the COVESA Central Data Service Playground (CDSP) is, what has been done and where it is going.

CDSP What / Why / How
What has been done since the Spring AMM
What’s next / roadmap

'24 Spring AMM

(Gothenburg)

Central Data Service Playground session series: Introduction, Technical, Use and Workshop.

Data Architecture team track

'24 Spring AMM

(Gothenburg)

Data Middleware Enabling Offline-First Telemetry Collection and Real-time Decision Making with an In-car Knowledge Layer

BMW Research presentation containing suggestions for knowledge layer collaboration

Early planning

Early planning can be found in the sub-page Early planning. As early planning for a new project is typically messy it is being done there to avoid the later problem of a messy landing page that is hard for later newcomers to understand.

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