Services
...for high-performance measurement and computation (HPMC)
“Hello, I’m Doris! I’m an engineer conducting and post-processing high-resolution and high-performance measurements and simulations on High-Performance Computing systems (HPC). The data sets I work with are extremely large (hundreds of terabytes or even petabytes) such that they are, by and large, immobile. They are too large to be copied to work stations and the (post-) processing of the experimental and computational data generally is done on HPC systems.
The HPC background mandates tailored, hand-made software, which takes advantage of the high computational performance provided. The data sets accrue in the combustion, energy generation and storage, mobility, fluid dynamics, propulsion, thermodynamics, and civil engineering communities.”
Services - Doris' picks
Listed below are services of particular interest to researchers like Doris
Organising & Processing · Publishing & Archiving · Describing & Documenting · Finding & Re-Using
A python-written metadata crawler that allows to automatically retrieve relevant research metadata from script-based workflows on HPC systems. The tool offers a flexible approach to metadata collection, as the metadata scheme can be read out from an ontology file. Through minimal user input, the crawler can be adapted to the user’s needs and easily implemented within the workflow, enabling to retrieve relevant metadata.
Storing & Computing · Finding & Re-Using
Are you an engineer in a project to (re-)program scientific code? Or are you a student in a likewise project? Or maybe you are a project/data manager looking for some inspiration and advice? Then this Knowledge Base might be just for you! We cover multiple topics regarding the development of scientific software, e.g. Version Control and Continuous Integration.
Services - General
Researchers like Doris might also be interested in the following services
Informing & Planning · Organising & Processing · Storing & Computing · Describing & Documenting · Finding & Re-Using
Coscine is a RDM platform for the active phase of research projects that enables NFDI4ING researchers to access storage space on DataStorage.nrw while guaranteeing the FAIR principles. Projects created in Coscine enable role management, metadata management, public sharing of data, referencing with PIDs and archiving of research and metadata for 10 years. In addition, project-related GitLab repositories can be integrated and external files linked. Registration takes place via your own organization (using the NFDI4ING community AAI) or ORCiD.
Informing & Planning · Publishing & Archiving · Finding & Re-Using
The Data Collections Explorer is an information system for the engineering community. It facilitates sharing of and searching for discipline specific repositories, archives, and databases, as well as for datasets published individually by research groups. Scientists can get a quick overview of the most important facts about services and datasets, such as access rights or usage restrictions. A SPARQL endpoint ensures programmatic access for integration with third-party services.
Informing & Planning · Publishing & Archiving · Describing & Documenting · Finding & Re-Using · Learning & Teaching
Ing.grid is a scholarly-led diamond open access journal for FAIR data management in engineering sciences. It uses an open peer review process and accepts data and software submissions in addition to regular manuscripts.
Organising & Processing · Publishing & Archiving · Storing & Computing · Describing & Documenting · Finding & Re-Using
Kadi4Mat is a generic and open source virtual research environment, which can be hosted as a web-based service. The instances hosted at KIT can be leveraged to enhance (meta)data management and integration in the engineering community working in academia, research institutions, or industry.
Organising & Processing · Publishing & Archiving · Describing & Documenting · Finding & Re-Using
The software ecosystem of Kadi4Mat includes different tools and libraries that are built around and on top of Kadi4Mat, the generic and open source virtual research environment.
Describing & Documenting · Finding & Re-Using
The NFDI4ING Metadata Profile Service facilitates creation and utilization of FAIR (RDF-based) metadata by making use of metadata profiles that combine terms from existing ontologies into reusable metadata templates. The platform provides functionality for creation, sharing and curation of metadata profiles.
Publishing & Archiving · Describing & Documenting · Finding & Re-Using · Learning & Teaching
The NFDI-RFC (Request For Comments) process is adopted from the Internet Engineering Task Force (IETF) standard. This process ensures that NFDI community submitted standards are practical, effective, and widely used within the research community. A review process for the publication of NFDI-RFCs was also designed to ensure that they meet the highest quality and integrity standards.
Learning & Teaching
The NFDI4ING Education Platform provides essential resources for self-paced trainings in RDM tailored specifically to engineering disciplines. Driven by the needs and characteristics of the engineering domain, these trainings provide basic RDM topics adapted for engineering, including use cases and interactive quiz elements. Based on that, users can start learning and enhancing their skills in managing research data effectively, improving collaboration in their projects, and reuse research data.
Describing & Documenting · Finding & Re-Using
The NFDI4ING Terminology Service bundles and standardises access to existing terminologies and semantic models for research data management purposes. They form the basis for clear and meaningful communication between producers and users of research data for their subsequent use in innovative research. Clear communication is a basic prerequisite for innovative research, especially in areas such as the highly complex engineering sciences.
Informing & Planning · Organising & Processing · Publishing & Archiving · Storing & Computing · Describing & Documenting · Finding & Re-Using
The Open Research Knowledge Graph (ORKG) helps researchers find, compare, and reuse scientific findings efficiently. User can organize research contributions semantically so that both humans and machines can easily understand and use them. With ORKG, you can explore knowledge across various disciplines, stay updated, and collaborate on new research. Additionally, ORKG enhances the visibility of research outputs, facilitating better discovery and innovation in the scientific community.
Informing & Planning · Describing & Documenting · Learning & Teaching
The Research Data Management Organiser (RDMO) guides researchers through the planning, implementation and administration of all research data management tasks. It offers structured questionnaires with detailed guidance, enabling efficient and comprehensive data management planning for research projects, ensuring compliance with funding requirements.
Publishing & Archiving · Describing & Documenting · Finding & Re-Using
Ellen's RESODATE will be a service that enables the task- and problem-oriented search and discovery of research data artifacts. Based on formalized procedural information embedded in knowledge graphs, it utilizes relationships between research tasks and methods to organize research software and data according to their possible uses. It aims to support the integration of software and data into executable research workflows that can be used to cover individual information and data requirements.
Organising & Processing · Describing & Documenting
SciKGTeX is a LaTeX package that allows researchers to annotate specific research contributions in their scientific documents. By embedding these annotations into the PDF metadata, SciKGTeX makes it easier for search engines and knowledge graphs to find and understand the research. This enhances the discoverability and usability of scientific work, making it a valuable tool for anyone looking to improve the visibility and impact of their research.