ArticleJournal of the American Medical Informatics Association : JAMIA
Organization of heterogeneous scientific data using the EAV/CR representation.
Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
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Who cites it
65 citing papers in PubMed.
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- Chasm Between Cancer Quality Measures and Electronic Health Record Data Quality.JCO clinical cancer informatics · 2022Article
- Mapping the Entire Record-An Alternative Approach to Data Access from Medical Logic Modules.Applied clinical informatics · 2020Article
- Pan-European Data Harmonization for Biobanks in ADOPT BBMRI-ERIC.Applied clinical informatics · 2019Article
- A Data Element-Function Conceptual Model for Data Quality Checks.EGEMS (Washington, DC) · 2019Article
- Learning to Share Health Care Data: A Brief Timeline of Influential Common Data Models and Distributed Health Data Networks in U.S. Health Care Research.EGEMS (Washington, DC) · 2019Article
- A late-binding, distributed, NoSQL warehouse for integrating patient data from clinical trials.Database : the journal of biological databases and curation · 2019Article
- CHCi - A Dynamic Data Platform for Clinical Data Capture and Use.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018Article
- Data collection and storage in long-term ecological and evolutionary studies: The Mongoose 2000 system.PloS one · 2018Article
- Representing Knowledge Consistently Across Health Systems.Yearbook of medical informatics · 2017Review
- Development of a repository of individual participant data from randomized controlled trials of therapists delivered interventions for low back pain.European journal of pain (London, England) · 2017Article
- Twenty years of ModelDB and beyond: building essential modeling tools for the future of neuroscience.Journal of computational neuroscience · 2017Review
- Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data.IEEE journal of biomedical and health informatics · 2016Article
- Comparing the Performance of NoSQL Approaches for Managing Archetype-Based Electronic Health Record Data.PloS one · 2016Article
- ORDB, HORDE, ODORactor and other on-line knowledge resources of olfactory receptor-odorant interactions.Database : the journal of biological databases and curation · 2016Article
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- 3D-printer visualization of neuron models.Frontiers in neuroinformatics · 2015Article
- CohortExplorer: A Generic Application Programming Interface for Entity Attribute Value Database Schemas.JMIR medical informatics · 2014Article
- The Cerebral Blood Flow Biomedical Informatics Research Network (CBFBIRN) database and analysis pipeline for arterial spin labeling MRI data.Frontiers in neuroinformatics · 2013Article
5 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors.
Funding
Abstract
Entity-attribute-value (EAV) representation is a means of organizing highly heterogeneous data using a relatively simple physical database schema. EAV representation is widely used in the medical domain, most notably in the storage of data related to clinical patient records. Its potential strengths suggest its use in other biomedical areas, in particular research databases whose schemas are complex as well as constantly changing to reflect evolving knowledge in rapidly advancing scientific domains. When deployed for such purposes, the basic EAV representation needs to be augmented significantly to handle the modeling of complex objects (classes) as well as to manage interobject relationships. The authors refer to their modification of the basic EAV paradigm as EAV/CR (EAV with classes and relationships). They describe EAV/CR representation with examples from two biomedical databases that use it.
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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.