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| Metadata | Guidelines |
|---|---|
| Collection Names | For each study, capture the broad effort. For each asset, indicate the sub-task that addresses a portion of the study. If the asset title is the same or very similar to the study title, then it means that the asset encompasses the whole of the study (in which case, it may be better to have the asset listed under a broader existing study than creating one for it). |
| Collection Descriptions | Provide a detailed description of the purpose and function of your resource so that an outside researcher will understand the significance of your capability, how they might use it, and what the capability can help them do. |
Related article:
Harish KB, Price WN, Aphinyanaphongs Y. Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges. JMIR Form Res. 2022 Apr 11;6(4):e33970. doi: 10.2196/33970. PMID: 35404258; PMCID: PMC9039816
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