Smart City Reference Architecture German Institute for Standardization

Reference Architecture Model Open Urban Platform

Type of content: Assets
Type of asset:
Big data potential
Phase in the policy cycle:
Policy Design and Analysis
Open license availability
Tags: Smart City Smart Government Standardisation of processes
SWOT Analysis for
Smart City Reference Architecture German Institute for Standardization
Helpful Harmful
Strengths• Guides and constrains the instantiations of logical and solution architectures.
• Provides common language for the various stakeholders
• Provides consistency of technology implementation to solve problems
• Supports the validation of solutions against a proven Reference
• Encourages adherence to common standards, specifications and patterns.
• Offers a catalogue of terms and definitions to unify the language used in this complex interdisciplinary context
• Creates a systemic comparability, which enables the interoperability of systems
• Defines of open interfaces (known as API), to upload and download data that is their provision and usage
• Clarifies licensing models for open data that is free-of-charge as well as chargeable access
• Provides an overview of current and for this area relevant valid norms and standard in a coherent manner.
Weaknesses• Low ease of use
• Pool of urban data exists within the various urban infrastructures.
• However, these infrastructures operate quite independently with little to no integration. Thus, harvesting the urban data has become a difficult task, especially due to the fact that interesting use cases such as autonomous driving in the city or measuring environmental data at various hot spots in the city are not owned by single infrastructure operators but rather require a collective approach.
• Initially, taking part in standardization does require an investment
• Does not specify requirements for data storage or data processing. This document is aimed at decision makers, procurer, planner
Opportunities• Autonomous driving in the city
• Measuring environmental data at various hot spots in the city
• A collective and cooperative approach between various local stakeholders is required to harvest the full potential of the new digital era.
• Urban data has become a resource of high interest a number of use cases, namely for urban mobility, energy efficiency, safety and security, as well as climate change and health.
• Need to create an open and aligned approach towards harvesting the urban data by avoiding proprietary and thus single vendor dominated infrastructures. Instead, a federated and open approach to exchange and share data for mutual benefits both social and commercial is envisioned. A logical digital framework like an “urban platform” which aggregates all the different services and connects the data is required
• Several Standard Developing Organizations (SDOs) are considering standardization projects in the realm of urban data platform
Threats• The fact that European urban regions are dominated by rather small and medium size cities and thus lacking the Mega Cities and Mega Metropolitan regions often referred to when considering Asia and America. Thus, the challenges of European cities are to find affordable, scalable solutions, which can be tailored to their needs and size as well as having a pluralism of available solutions encouraging the engagement of local providers and start-ups.
• Data security: OUP must provide an end-to-end security covering data security, access control, authentication, security monitoring, transport encryption from Infrastructure (Sensors/Devices), transport encryption to third party management systems and platform services
• IoT , M2M communication covers a wide field of possible applications and devices. Each purpose of use can have very different requirements and it is impossible to cover all those requirements with one standard in particular because of possibly different framework conditions like e.g. legal frameworks, existing applications etc.

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