ArticleBMC bioinformatics2006
Mapping data elements to terminological resources for integrating biomedical data sources.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Mapping of Alzheimer's disease related data elements and the NIH Common Data Elements.BMC medical informatics and decision making · 2024Article
- Adaptive semantic tag mining from heterogeneous clinical research texts.Methods of information in medicine · 2015Article
- Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping.International journal of nanomedicine · 2009Article
- Accessing and integrating data and knowledge for biomedical research.Yearbook of medical informatics · 2008Review
- An overview of MetaMap: historical perspective and recent advances.Journal of the American Medical Informatics Association : JAMIAArticle
- Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
backgroundData integration is a crucial task in the biomedical domain and integrating data sources is one approach to integrating data. Data elements (DEs) in particular play an important role in data integration. We combine schema- and instance-based approaches to mapping DEs to terminological resources in order to facilitate data sources integration.
methodsWe extracted DEs from eleven disparate biomedical sources. We compared these DEs to concepts and/or terms in biomedical controlled vocabularies and to reference DEs. We also exploited DE values to disambiguate underspecified DEs and to identify additional mappings.
results82.5% of the 474 DEs studied are mapped to entries of a terminological resource and 74.7% of the whole set can be associated with reference DEs. Only 6.6% of the DEs had values that could be semantically typed.
conclusionOur study suggests that the integration of biomedical sources can be achieved automatically with limited precision and largely facilitated by mapping DEs to terminological resources.
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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.