ArticleJournal of biomedical informatics2008
caCORE version 3: Implementation of a model driven, service-oriented architecture for semantic interoperability.
Article in Journal of biomedical informatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The ACGT Master Ontology and its applications--towards an ontology-driven cancer research and management system.Journal of biomedical informatics · 2011Pooled it
- NCI's Proteomic Data Commons: A Cloud-Based Proteomics Repository Empowering Comprehensive Cancer Analysis through Cross-Referencing with Genomic and Imaging Data.Cancer research communications · 2024Article
- NIH HEAL Clinical Data Elements (CDE) implementation: NIH HEAL Initiative IMPOWR network IDEA-CC.Pain medicine (Malden, Mass.) · 2023Article
- Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives.Briefings in bioinformatics · 2020Review
- Using an artificial neural network to map cancer common data elements to the biomedical research integrated domain group model in a semi-automated manner.BMC medical informatics and decision making · 2019Article
- Embracing an integromic approach to tissue biomarker research in cancer: Perspectives and lessons learned.Briefings in bioinformatics · 2017Article
- An information model for computable cancer phenotypes.BMC medical informatics and decision making · 2016Article
- Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution.Journal of biomedical informatics · 2016Article
- Thyroid Cancer and Tumor Collaborative Registry (TCCR).Cancer informatics · 2016Article
- Using Semantic Web technologies for the generation of domain-specific templates to support clinical study metadata standards.Journal of biomedical semantics · 2016Article
- Big Data: the challenge for small research groups in the era of cancer genomics.British journal of cancer · 2015Review
- 2014 ACC/AHA Key Data Elements and Definitions for Cardiovascular Endpoint Events in Clinical Trials: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Data Standards (Writing Committee to Develop Cardiovascular Endpoints Data Standards).Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2015Article
- Requirements for data integration platforms in biomedical research networks: a reference model.PeerJ · 2015Article
- Knowledge sharing in the health scenario.Journal of translational medicine · 2014Article
- Standardized cardiovascular data for clinical research, registries, and patient care: a report from the Data Standards Workgroup of the National Cardiovascular Research Infrastructure project.Journal of the American College of Cardiology · 2013Review
- Quality evaluation of value sets from cancer study common data elements using the UMLS semantic groups.Journal of the American Medical Informatics Association : JAMIA · 2012Article
- Guidelines for information about therapy experiments: a proposal on best practice for recording experimental data on cancer therapy.BMC research notes · 2012Article
- Chapter 1: Biomedical knowledge integration.PLoS computational biology · 2012Article
- Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Federated querying architecture with clinical & translational health IT application.Journal of medical systems · 2011Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
One of the requirements for a federated information system is interoperability, the ability of one computer system to access and use the resources of another system. This feature is particularly important in biomedical research systems, which need to coordinate a variety of disparate types of data. In order to meet this need, the National Cancer Institute Center for Bioinformatics (NCICB) has created the cancer Common Ontologic Representation Environment (caCORE), an interoperability infrastructure based on Model Driven Architecture. The caCORE infrastructure provides a mechanism to create interoperable biomedical information systems. Systems built using the caCORE paradigm address both aspects of interoperability: the ability to access data (syntactic interoperability) and understand the data once retrieved (semantic interoperability). This infrastructure consists of an integrated set of three major components: a controlled terminology service (Enterprise Vocabulary Services), a standards-based metadata repository (the cancer Data Standards Repository) and an information system with an Application Programming Interface (API) based on Domain Model Driven Architecture. This infrastructure is being leveraged to create a Semantic Service-Oriented Architecture (SSOA) for cancer research by the National Cancer Institute's cancer Biomedical Informatics Grid (caBIG).
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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.