Currently, energy-related data is fragmented across various stakeholders such as utilities, grid operators, and consumers. Data sharing services can help address this challenge by creating a common platform for collecting, processing, and sharing data.

Engaging industry partners is essential for developing effective data-sharing services. Industry participation plays a key role in the success of community-driven services in energy systems research. Industry stakeholders can contribute valuable technical and business data, and benefit as users by accessing the data and services provided by NFDI4Energy.

What kind of data is needed?

To support advanced research and innovation in energy domain, we welcome contributions of a wide range of data types, e.g. Heating system data, Network structure and connectivity information.

How to share & access data

• Data contribution and access are facilitated through the Leibniz Data Manager platform.
• For comprehensive instructions on how to contribute or access data, including accepted formats, metadata requirements, and access policies, please refer to the Guideline.

How NFDI4Energy can support

NFDI4Energy provides a range of services and technical enablers to support the efficient, secure, and FAIR-compliant management of energy-related research data. These services are designed to address both methodological and practical challenges faced by academic and industry stakeholders.

Data Anonymization

We are developing services and guidelines to help partners anonymize sensitive data, ensuring compliance with GDPR and domain-specific privacy regulations while preserving data utility.

Synthetic Data Generation

To address data sparsity and privacy limitations, we support the creation of synthetic datasets through methods such as generative modeling (e.g., GANs, VAEs) and rule-based simulation, enabling robust benchmarking and model training without compromising sensitive information.

Metadata Standards and Ontology Support

We promote the use of domain-specific metadata standards and support integration with semantic ontologies (e.g., SAREF, BRICK, CIM), enhancing data interoperability, machine readability, and semantic clarity across datasets.
More services can be found in our Services and resources section.

Contact point for stakeholders from industry

Our dedicated task area for stakeholders from industry is Task Area 3.