Data from: Toward Enhanced Reusability: A Comparative Analysis of Metadata for Machine Learning Objects and Their Characteristics in Generalist and Specialist Repositories
Owning Institution: UC San Diego, Research Data Curation Program
About this Collection
This dataset contains data reported in the paper, Labou et al. 2024, which aims to understand how researchers are currently documenting ML research outputs for sharing, and the extent to which repository metadata fields enable reuse of ML objects. Contents of the dataset include: Supplemental Tables referenced in the paper, a snapshot of the code used to query or web scrape data repositories for ML objects, metadata extracts from the repositories, and a snapshot of the code used to analyze the extracts. View this collection on the contributor's website.View our statement on digital primary resources and historical description.
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