DOME Registry Archived Dataset

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Authors: Registry DOME
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Abstract

Abstract This dataset is a comprehensive, time-stamped snapshot of the public DOME Registry database (registry.dome-ml.org). The DOME Registry stores annotations for supervised machine learning methods in biology, adhering to the community-wide recommendations for Data, Optimization, Model, and Evaluation (DOME). Methodology This snapshot was generated using the "DOME Registry Downloader" tool. It queries the official DOME API (https://registry.dome-ml.org/api/review) to retrieve all public records, handling pagination and aggregation into a single structured file. Content The dataset includes two files: DOME_Registry_Download_[YYYYMMDD].json: The complete list of registry records in JSON format. Each record contains metadata regarding the ML study's data handling, optimization parameters, model architecture, and evaluation metrics. DOME_Registry_Metadata_[YYYYMMDD].json: Technical metadata regarding the download process (timestamp, total record count, and file size). Purpose This entry serves as a permanent, archival record of the registry state on the specified date. It is intended for researchers conducting meta-analyses on ML reporting standards or those requiring an offline version of the registry for reproducibility.

Fields of Study & Subjects

Scientific Computing and Data Management Research Data Management Practices Machine Learning and Data Classification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Document type
Dataset