From manual entry to machine precision: challenges and evolution of metadata schema development in collaborative research centers.

IF 1.7 Q2 MULTIDISCIPLINARY SCIENCES

BMC Research Notes Pub Date : 2026-07-06 DOI:10.1186/s13104-026-07937-w

Felix Engel, Claudia Giuliani, Manuel Watter, Aref Kalantari, Karin Schuller, Harald Binder, Klaus Kaier

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引用次数: 0

Abstract

Objective: Metadata standardization in collaborative biomedical research must balance interoperability with domain-specific detail. We describe a parent-template approach in which a baseline schema from the nephrology-focused CRC 1453 NephGen was adapted for the tumor-immunology CRC OncoEscape and the perinatal-immunology CRC Pilot.

Results: The derivation process produced three structurally compatible yet vocabulary-divergent schemas. Pilot required the highest granularity (324 levels), followed by NephGen (287) and OncoEscape (283). Vocabulary reuse from the NephGen baseline was limited: 134 of 283 OncoEscape levels (47%) and 113 of 324 Pilot levels (35%) were retained unchanged. The main adaptations were not only expanded level lists, such as cell lines and mouse lines, but also new CRC-specific query dimensions, including "Oncogenes" in OncoEscape and "Timeline" in Pilot. In the context of AI-assisted extraction, we use the term instruction set to denote a schema that specifies target fields, expected granularity, example values, and validation resources for each metadata dimension, rather than a simple drop-down form or a free-text prompt template.

查看原文本刊更多论文

从人工输入到机器精度：协作研究中心元数据模式开发的挑战和演变。

目的：协同生物医学研究中的元数据标准化必须平衡互操作性和领域特定细节。我们描述了一种父母模板方法，其中以肾脏病为重点的CRC 1453 NephGen的基线模式适用于肿瘤免疫学CRC OncoEscape和围产期免疫学CRC Pilot。结果：衍生过程产生了三种结构相容但词汇不同的图式。Pilot需要最高的粒度（324个关卡），其次是NephGen（287）和OncoEscape（283）。NephGen基线的词汇重复使用受到限制：283个OncoEscape水平中的134个（47%）和324个Pilot水平中的113个（35%）保持不变。主要的调整不仅是扩展了级别列表，如细胞系和小鼠系，而且还增加了新的crc特定查询维度，包括OncoEscape中的“Oncogenes”和Pilot中的“Timeline”。在人工智能辅助提取的上下文中，我们使用术语指令集来表示为每个元数据维度指定目标字段、预期粒度、示例值和验证资源的模式，而不是简单的下拉表单或自由文本提示模板。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Research Notes Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)

CiteScore

3.60

自引率

0.00%

发文量

363

审稿时长

15 weeks

期刊介绍： BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.