Author: Thorsten Schwetje

HOMER – HPMC tool for Ontology-based Metadata Extraction and Re-use

23.10.2024 No Comments

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.

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Field Database Platform

23.10.2024 No Comments

The Field Database Platform (FDP) prioritizes the accessibility and reusability of data, allowing researchers to interact with field datasets more effectively. By providing tools for data exploration and previewing based on operational and environmental parameters, FDP ensures users are guided in finding relevant datasets, avoiding irrelevant or redundant information. This platform enhances data reusability and promotes FAIR principles, significantly improving the research experience compared to traditional data platforms.

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GitLab

23.10.2024 No Comments

GitLab is an open-source-software to host and manage own Git-repositories. Besides the main task of the code-management other functions like a simple issue-tracking-system, a wiki and also an option to review codes are covered. With this GitLab supports the developer, who increase the quality of the developed program codes.

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DataDesc

23.10.2024 No Comments

DataDesc is a framework that allows describing data models of software interfaces with machine-actionable metadata. The framework provides a specialized metadata schema, an exchange format and support tools for the easy collection and automated publishing of software documentation. DataDesc practically increases the FAIRness, i.e., findability, accessibility, interoperability, and the reusability of research software, as well as effectively promotes its impact on research.

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Data Quality Metrics Webpage

23.10.2024 No Comments

“Data Quality Metrics Webpage” is a knowledge platform offering in-depth resources on data quality, FAIR principles, and image and machine learning metrics. Built on ReadTheDocs with GitHub, it supports decentralized editing and easy updates using reStructuredText, requiring no specialized software. The platform provides, practical guidance with examples, images, and code snippets, making it accessible to users for applying data concepts, optimizing models, and enhancing understanding.

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Data Collections Explorer

23.10.2024 No Comments

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.

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Coscine

23.10.2024 No Comments

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.

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Betty’s (Re) Search Engine

23.10.2024 No Comments

Betty’s (Re) Search Engine aims to solve the issue of finding research software. The engine searches for software repositories that match a given search string and then tries to find corresponding publications as well as all available metadata. This enables users to sort the repositories based on the number of citations, apply various filters and it also directly provides an impression about the research contexts in which a software has been successfully applied.

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Basic RDM Trainings for Engineers

23.10.2024 No Comments

Basic RDM Training for Engineers 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.

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