ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2016
Standardized Representation of Clinical Study Data Dictionaries with CIMI Archetypes.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
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- A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases.bioRxiv : the preprint server for biology · 2026Article
- Large language models in clinical trials: applications, technical advances, and future directions.BMC medicine · 2025Review
- Symptom-BERT: Enhancing Cancer Symptom Detection in EHR Clinical Notes.Journal of pain and symptom management · 2024Article
- Shape Expressions (ShEx) schemas for the FHIR R5 specification.Journal of biomedical informatics · 2023Article
- Initiatives, Concepts, and Implementation Practices of the Findable, Accessible, Interoperable, and Reusable Data Principles in Health Data Stewardship: Scoping Review.Journal of medical Internet research · 2023Article
- Development and validation of techniques for phenotyping ST-elevation myocardial infarction encounters from electronic health records.JAMIA open · 2021Article
- Implementing Structured Clinical Templates at a Single Tertiary Hospital: Survey Study.JMIR medical informatics · 2020Article
- Analysis of data dictionary formats of HIV clinical trials.PloS one · 2020Article
- The D2Refine Platform for the Standardization of Clinical Research Study Data Dictionaries: Usability Study.JMIR human factors · 2018Article
- D2Refine: A Platform for Clinical Research Study Data Element Harmonization and Standardization.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Researchers commonly use a tabular format to describe and represent clinical study data. The lack of standardization of data dictionary's metadata elements presents challenges for their harmonization for similar studies and impedes interoperability outside the local context. We propose that representing data dictionaries in the form of standardized archetypes can help to overcome this problem. The Archetype Modeling Language (AML) as developed by the Clinical Information Modeling Initiative (CIMI) can serve as a common format for the representation of data dictionary models. We mapped three different data dictionaries (identified from dbGAP, PheKB and TCGA) onto AML archetypes by aligning dictionary variable definitions with the AML archetype elements. The near complete alignment of data dictionaries helped map them into valid AML models that captured all data dictionary model metadata. The outcome of the work would help subject matter experts harmonize data models for quality, semantic interoperability and better downstream data integration.
Indexed as
Identifiers
28269909PMC5333261What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.