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Croissant
Croissant is a format for Machine Learning datasets
Learn more about this at mlcommons.org/croissant.
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100+ datasets found
  1. D

    Data Management of a Biotechnology Network as a Contribution to FAIR Data...

    • darus.uni-stuttgart.de
    Updated Dec 16, 2022
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    • darus.uni-stuttgart.de
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  12. D

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    • darus.uni-stuttgart.de
    • search.nfdi4chem.de
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  13. D

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    • darus.uni-stuttgart.de
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  14. D

    Relevance of Different Metadata Fields for the Description of Research Data...

    • darus.uni-stuttgart.de
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  15. D

    Replication Data for: Generating Minimal Training Sets for Machine Learned...

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  16. D

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  17. D

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    • darus.uni-stuttgart.de
    Updated Dec 2, 2024
  18. D

    VisRecall++: Analysing and Predicting Recallability of Information...

    • darus.uni-stuttgart.de
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  19. D

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    • darus.uni-stuttgart.de
    Updated Aug 12, 2023
  20. D

    Virtual Reality Adaptation using Electrodermal Activity to Support User...

    • darus.uni-stuttgart.de
    Updated Apr 27, 2022
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Martina Rehnert; Ralf Takors (2022). Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement [Dataset]. http://doi.org/10.18419/DARUS-829

Data Management of a Biotechnology Network as a Contribution to FAIR Data Mangement

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Dec 16, 2022
Dataset provided by
DaRUS
Authors
Martina Rehnert; Ralf Takors
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Dataset funded by
DFG
Description

The Research Data Management Plan (RDMP) of the priority program SPP 2170 is the formal document that should help to mangage the handling of data. Since enormous amounts of research data (Big Data) will be generated, the exchange and access to the data should be ensured. Every experiment in the laboratory, or every simulation generates huge amounts of unstructured data. To make these findable, accessible, interoperable, and reusable (FAIR), discipline-specific criteria must be defined in addition to the hardware and software that form the general platform. Therefore the RDMP of the DFG-funded priority program SPP2170 describes how this information could be processed in the future.

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