Alex’ Knowledge Base offers a clear and practical entry point into the work of the NFDI4ING task area addressing challenges connected to one-of-a-kind, highly-variable experiments. It not only showcases the developed tools and services but also provides helpful guides and workflow recommendations. It’s a useful starting point for researchers fitting the Archetype Alex looking for support in navigating their research data management tasks.
SM4RO-C is a specification that defines how to use SciMesh graphs in RO-Crates in order to describe the raw data files stored within the crate. It enables researchers to publish and/or share their research results in the richest way possible, i.e. raw data, intermediate data, and workflow graphs combined in one ZIP file.
SciMesh provides a specification and a reference implementation for a knowledge graph schema. It is supposed to represent scientific workflows and insights. While originating in experimental research of the engineering and material sciences, its basic principle is the connection of cause and effect, which can be applied to most empiric research. Its applications range from research publication over data exchange between electronic lab notebooks to timestamping of scientific work in blockchains.
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.
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.
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.
The NFDI4Ing Data Ingest Service is the gateway for enhanced research data publication in architecture and civil engineering. With flexible metadata profiles and automation processes, ing.est visualizes your 3D data, assigns persistent identifiers, and ensures long-term archiving with ease.
MetaStore is a research data repository for storing metadata documents and schemas for researchers. Quality and consistency are ensured by associating and validating each (metadata) document against a schema registered in beforehand in the MetaStore. XML and JSON are supported as possible schemas.
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.
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.
