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 Service directed at developers in the energy domain. It can be used to access linked open data from various sources by using SPARQL queries.
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.
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.
Description
Building on the platform EnArgus, which gives an extensive overview on over 30,000 energy research projects, a database of scientific institutes, scientists, and relevant industrial partners will be created as part of TA1. It will be used as a foundation and reference point for metadata of the different DOs in the other services. The database will be searchable and can also help to identify the right research and transfer partners like scientists and companies for upcoming research projects.
Simulation as a Service Hub
Description
The Simulation as a Service Hub aims to be a website where researchers can select a simulation scenario as well as a simulation tool and let this simulation run on external servers. The results are then visualized within the Sim-aaS website. The goal is that multiple simulation tools will be accessible to researchers who are not able to run simulations on their own hardware.
