Open Research Knowledge Graph
Description
In an era where research publications are abundant and ever-growing, staying informed is increasingly challenging. The Open Research Knowledge Graph (ORKG) offers a solution, where researchers can use a platform to organize and enhance the accessibility of scientific literature.
Why ORKG?
- Contribute to a Knowledge Base: Your input helps create a valuable resource for your field, benefiting both you and your peers.
- Gain Visibility: Stand out with prominent acknowledgment of your contributions.
- Serve the Community: Transform research into comparisons and visualizations, aiding others in staying updated.
- Impress Reviewers: Use ORKG to highlight your work’s merits, enhancing its appeal during reviews.
- Gain Insights: Collaborate and learn from others’ perspectives on your research.
- Increase Citations: Clear representation of your work can attract more citations.
Join the ORKG community today and help enhance research accessibility while fostering collaboration among researchers.
Description
Increase your research efficiency with this offered platform designed to simplify data management. With the Leibniz Data Manager you can effortlessly upload, download, and organize datasets along with their metadata.
Explore your data with ease—whether it’s through 3D viewers for CAD files or interactive plots for tabular data. Run Jupyter notebooks directly within the platform, enhancing your analytical workflow. Tailored distributions ensure our tool fits perfectly into various research settings, from institutes to specialized groups.
Built on CKAN, we focus on interoperability and reusability, providing a robust environment that supports heterogeneous data publications. Discover relevant datasets swiftly with our assistive features, designed to meet the diverse needs of your discipline. Experience a user-centric approach to research data management with Leibniz Data Manager—where functionality meets simplicity
Description
The Open Energy Database (OEDB) allows you to upload and manage datasets under open licenses, ensuring secure downloads for your projects. Its standardized metadata schema and user-friendly interface make organizing and exploring data efficient.
This platform is a great resource for seamless handling of energy-related information—whether you’re searching for reliable data or looking to contribute your insights.
Description
The Open Energy Databus is a specialized platform designed for developers in the energy domain. It enables agile data integration and automation by leveraging a structured metadata Knowledge Graph. The services allows users to seamlessly discover, connect, and access linked open data from diverse energy sources using SPARQL and further state-of-the-art semantic technologies.
Description
The RDMO4Energy service implements an instance of the Research Data Management Organizer (RDMO), a tool for developing and completing data management plans (e.g., in the form of questionnaires or step-by-step wizards). In short, researchers and institutions can either design their own data management plans or use templates provided by funding agencies, adapting them as their projects progress. The resulting forms can be exported in a variety of formats. Data administrators can collaborate on data projects an benefit from role and user management features of the system. The main improvements through NFDI4Energy are energy-related templates for data and software management plans, which energy researchers can use directly in the RDMO4Energy instance.
Open Energy Scenario Bundles
Description
In Energy System research, scenarios are potential future developments of energy systems. Scenario Bundles provide context about energy research scenarios, including details on studies, input/output data, models used, and frameworks. You can create and share scenario bundles to enhance the community’s understanding of your data published at the Open Energy Database.
Description
The TIB Terminology Service provides an access point to existing ontologies through their API to retrieve terminological information and use it in your software and services.
Improve your understanding of the energy system with Energy-Charts, an interactive platform providing transparent and up-to-date data on electricity, prices, and the broader energy transition. Since 2011, the platform has collected, processed, and visualized energy data from numerous scientific and official sources.
Explore interactive charts on power generation, consumption, prices, emissions, and cross-border electricity flows. The platform covers all major sectors of the energy transition, offering a comprehensive view of how the energy system evolves over time.
Developed by the Fraunhofer Institute for Solar Energy Systems ISE, Energy-Charts focuses on transparency, reliability, and accessibility. It enables researchers, policymakers, journalists, businesses, and the public to analyze developments based on independent, scientifically prepared data.
Description
The Climate Policy Atlas is an open-data project providing high-resolution, curated information on energy and climate policies and targets. It is built on the Climate and Energy Policy Ontology (CEPO), a semantic framework that ensures consistent and comparable policy instrument definitions. The project offers detailed time-series data from 2000-2024, covering renewable electricity support instruments across EU countries and the UK, electric car support in select nations, and renewable/energy/emissions targets through 2050. The datasets are hosted on Zenodo, enabling easy access, version control, and reuse for empirical policy research. CEPO is designed to be expandable and interoperable with other policy databases like Climate Policy Radar, facilitating cross-dataset comparisons. The initiative was developed by the Sustainability Transition Policy group at Friedrich Alexander University in Nuremberg, Germany, with contributions from various collaborators and expert teams and is funded by the German Research Foundation (DFG) through NFDI4Energy. The primary goal is to address gaps in energy data availability, making long-term, machine-readable policy data accessible for interdisciplinary energy research. Users can report errors or contribute additional data to improve the dataset’s completeness and accuracy.
Description
The Anonymization Service is designed to protect sensitive data from the energy domain, particularly in industrial settings. It anonymizes confidential information, rendering it suitable for research purposes and publication, while maintaining data integrity and confidentiality.
