Tag: Informing & Planning

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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