Model Cards for Model Reporting
Trained machine learning models are increasingly used to perform high-impact tasks in areas such as law enforcement, medicine, education, and employment. In order to clarify the intended use cases of machine learning models and minimize their usage in contexts for which they are not well suited, we recommend that released models be accompanied by documentation detailing their performance character
Datasheets for Datasets
The machine learning community currently has no standardized process for documenting datasets, which can lead to severe consequences in high-stakes domains. To address this gap, we propose datasheets for datasets. In the electronics industry, every component, no matter how simple or complex, is accompanied with a datasheet that describes its operating characteristics, test results, recommended use
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The data production-consumption gap
egeria
GitHub - odpi/egeria: Egeria core
Google Cloud Data Catalog and Tableau integration
Datasets – Google Research
Providing Metadata Discovery on Large-Volume Data Sets
Apache Atlas – Data Governance and Metadata framework for Hadoop
Pentaho Download
