Open, Immersive, Human-Centered: The Future of Data Center Management
Introduction – Why This Project Exists
Data centers, cloud edge environments, and digital twins have grown into vast, distributed, and highly complex systems. Yet, the tools used to operate them are still rooted in fragmented interfaces, abstract dashboards, and siloed telemetry. Understanding what is truly happening inside a modern infrastructure landscape often requires navigating a maze of disconnected views.
For many companies it is hard to decide on where to start and how to set up a digital twin, which tools to use, let alone how to merge the data, the visualization, and the user interaction into one holistic framework.
Even when these aspects are clear, the implementation often faces the realities of solutions readily available on the market. These solutions are mostly proprietary and thus come at costs not every company can or wants to cover. Adding to the costs, these tools do not always let companies adjust them to their specific requirements given a certain design-default opaqueness.
Now, from our point of view and the European Union's, it is necessary to break with this situation and provide a framework that is based on openness, transparency, reproducibility, and adaptability. For this reason, the Immersive Data Center Management (IDCM) project aims to redefine how we interact with the digital foundations of Europe's economy by providing a toolbox and referential approach to create your own individual solution rather than implementing yet another closed environment.
Why This Matters
The inherent complexity of datacenters and Digital Twins poses a high bar which needs to be lowered to leverage the potential both can offer.
This immersive approach aims to reduce this complexity by connecting operators more directly with the systems they manage. The IDCM provides guidance in form of easy to access in depth documentation, feasible examples and building blocks that can be reused, reshaped or added on to. The unified, human-centered view of distributed infrastructure, the IDCM provides, strengthens operational awareness, supports better decision-making, and brings transparency to environments that are normally difficult to grasp at scale.
The direct beneficiaries are e.g. researchers such as developers and architects who will be able to reuse build blocks on a long-term basis. Others who might benefit from IDCM are service and infrastructure providers who seek framework openness and interoperability that not only agrees with the overall ApeiroRA goals but also lets them be part of a true European ecosystem.
The Core Challenge
Digital twins are widely perceived as monolithic products, yet in practice they are complex compositions of heterogeneous elements, including data models, integration mechanisms, visualization tools, interaction concepts, and human factors. Beyond these technical and structural barriers, the fundamental challenge is human-centered — namely, how digital twins can be made understandable, trustworthy, and usable in real-world operational contexts.
At the same time, IDCM deliberately avoids delivering yet another monolithic solution. Instead, it provides an open, modular toolbox and reference architecture that allows organizations to incrementally assemble their own digital twin solutions, leveraging reusable building blocks, standardized interfaces, and interoperable components
The direction of the project is further defined by a set of guiding principles that emphasize openness, interoperability, and lifecycle-oriented thinking.
Central to this is the concept of federated data management, where the digital twin does not act as a single data repository but rather as an orchestrator of reliable references to authoritative data sources, ensuring consistency and real-time accuracy.
The Asset Administration Shell (AAS) provides the structural backbone, organizing digital representations into standardized submodules with clear semantics and unique identities, thereby enabling machine-readable and interoperable system descriptions. Building on this, a lifecycle-oriented perspective ensures that digital twins evolve alongside their physical counterparts, capturing changes and states across planning, operation, and service phases. Semantic interoperability further guarantees that data exchanged across systems is interpretable and unambiguous, while integrated security and access control mechanisms ensure trust, compliance, and controlled data usage within complex ecosystems
Taking together, these elements reflect a fundamental shift in how digital twins are conceived and implemented: away from closed, static, and tool-centric solutions, toward open, composable, and human-centered systems. The IDCM project positions itself as an enabling framework that makes digital twins not only technically feasible, but practically usable — aligning technological complexity with human understanding and operational needs.
What IDCM Aims to Deliver
The expected deliveries of the Immersive Data Center Management (IDCM) project are not conceived as a single finished product, but as a comprehensive, reusable framework that enables organizations to build and operate digital twins in a structured, scalable, and human-centered way.
At its core, IDCM will deliver a modular toolbox that demonstrates how digital twins can be assembled incrementally from interoperable components. This includes guidance on how open-source technologies can be combined and how semantic data models, immersive visualization, and AI-driven interaction layers work together to form a coherent system.
In addition, the project provides a reference architecture and blueprint that outlines best practices, design principles, and integration patterns. Rather than prescribing a fixed solution, this blueprint serves as a structured foundation that organizations can adapt to their specific needs, ensuring flexibility, openness, and long-term reusability.
The Datacenter as a Reference Use Case
Datacenters are selected as the primary use case for the IDCM project because they represent one of the most demanding and representative environments for digital twin applications. They combine high system complexity, heterogeneous assets, and safety‑critical operations, while simultaneously placing strong cognitive demands on operators who must manage and understand large volumes of distributed and dynamic information.
This makes datacenters an ideal environment to test and validate core concepts and technologies of the project. Within such a setting, IDCM can effectively demonstrate how digital twins, immersive visualization, and AI-assisted interaction improve system understanding, reduce cognitive load, and support decision-making. At the same time, the diversity of systems and interfaces in datacenter environments provides a realistic foundation to validate interoperability and integration approaches under real-world conditions.
Importantly, the goal of IDCM is not to perfectly model a specific datacenter, but to use it as a representative reference scenario. By addressing the challenges present in such a complex environment, the project ensures that its concepts, tools, and architectural principles are transferable to other domains, such as manufacturing, energy, or mobility, where similar challenges of complexity, integration, and human interaction exist.
Toolbox Building Blocks
Semantic Modeling (AAS)
The Asset Administration Shell (AAS) is a standardized framework for representing assets as digital twins, providing a structured and machine‑interpretable description of their properties, states, and services. It is used to structure asset data, ensure interoperability, and create a consistent semantic foundation, enabling systems to exchange and interpret information reliably. In IDCM, the AAS demonstrates how assets can be described semantically and how data consistency across heterogeneous systems can be achieved, forming the backbone for an integrated and interoperable digital twin environment.
Visualization and Interaction (XR)
Extended Reality (XR) is used in IDCM as an immersive interface to explore digital twins spatially, enabling users to connect complex data directly to its physical context. It helps operators navigate and understand systems more intuitively, supporting sensemaking in highly complex environments. In doing so, XR demonstrates how visual context reduces cognitive load and makes complex relationships immediately understandable, transforming abstract data into an accessible and interactive experience.
Adaptive Interaction (AI for UX)
In IDCM, AI is used as an interaction layer and decision‑support co‑pilot, acting as a companion that assists operators in understanding and managing complex systems. It enables natural interaction with digital twins, allowing users to query, explore, and receive contextual insights in an intuitive way. At the same time, AI provides explainable and transparent assistance, ensuring that humans remain in control with full override capabilities.
What We Have Built So Far
The IDCM project is part of the European Union’s Apeiro initiative and aligns its deliverables with the program’s standards, including research papers, proof-of-concepts (POCs), and pilot implementations. So far, three papers have been developed covering different aspects of data centers and open-source technologies, with one paper published in the context of the CHI Conference in Barcelona in 2026.
A key contribution of the project so far prototype POC that combines open-source tools, semantic models, XR visualization, and AI-based interaction. This prototype is designed to demonstrate how these technologies can be integrated into a coherent system. In Addition to this prototype first contributions to the IDTX community have been published on Github, showing that proprietary tools can be replaced with open-source tools.
Importantly, this POC and the following outputs are not intended to be a final product or a production-ready solution. Instead, they serve as a practical illustration of the overall concept and the potential by providing ready-to-apply blueprints.
Outlook – Where the Project Is Heading
The next steps of this project lie in the continuous refinement and extension of the toolbox with e.g. 3-D viewers that give an insight into the digital twin of the data center itself or the QR-Code Scanners for a variety of operating systems.
Further articles are planned for insights from interviews with stakeholders on the end user side as well as on the developer side. The first will serve as a view on the best practices meanwhile the latter shall provide information on lessons learned during the development process. Besides these topics the project team constantly reaches out to the wider community and strives to participate actively in conferences by submitting papers the latest e.g. on the issue of co-designing between UX designer and developers.