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MLentory: NFDI4DS registry for machine learning models and related artifacts

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type , Article , Conference object 04 Aug 2025 English Publisher:ZenodoFunded by:DFG | unidentified
Authors: Quiñones, Nelson; Geist, Lukas; Ravinder, Rohitha; Solanki, Dhwani; Venkatesh, Suhasini; Rebholz-Schuhmann, Dietrich; Castro, Leyla Jael;

doi: 10.5281/zenodo.16954777 , 10.5281/zenodo.16735315 , 10.5281/zenodo.16954776 , 10.5281/zenodo.16735316

MLentory: NFDI4DS registry for machine learning models and related artifacts

Abstract

MLentory, part of the NFDI4DataScience service portfolio, provides a comprehensive and harmonized solution for ML model discovery. MLentory is a registry built on an Extraction, Transformation, and Loading (ETL) pipeline, complemented with a back-end providing a REST API and a front-end, facilitating seamless access to developers, end-users, and machines (via Webby FAIR Digital Objects). This presentation corresponds to the abstract submission to CoRDI available at https://doi.org/10.5281/zenodo.16735315. Funding This work has been partially funded by the German Research Foundation (DFG – Deutsche Forschungsgemeinschaft) as part of the NFDI4DataScience consortium, grant No. 460234259. This work was supported by the de.NBI Cloud within the German Network for Bioinformatics Infrastructure (de.NBI) and ELIXIR-DE (Forschungszentrum Jülich and W-de.NBI-001, W-de.NBI-004, W-de.NBI-008, W-de.NBI-010, W-de.NBI-013, W-de.NBI-014, W-de.NBI-016, W-de.NBI-022).

Related Organizations
Keywords

Metadata, ETL pipeline, ML model, Metadata extraction, NFDI4DS, Machine Learning model, FAIR4ML, Reproducibility

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 1
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green