Article

Procedure to integrate i2b2 and REDCap: a case study at ICSM

2017-09-28

Abstract excerpt

REDCap (Research Electronic Data Capture) is one of the most popular web-based applications to support data capture for research studies and registries. i2b2 (Informatics for Integrating Biology and the Bedside) is a widely adopted data warehouse to re-use clinical data for research purposes. A general procedure able to integrate these solutions could facilitate research activities in several institutions. Startin...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ffaea02d-2e25-5013-a6ee-69caf76e94dd
DOI: 10.7287/peerj.preprints.3294v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Procedure to integrate i2b2 and REDCap: a case study at ICSMDOI 10.7287/peerj.preprints.3294v1Read

Integration of Disease Specific Clinical and Genomics Datasets using I2B2 Framework.Semantic proximity Read

Implementing a data infrastructure for precision oncology projects leveraging REDCapSemantic proximity Read

Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health dataSemantic proximity Read

Development of a continuous multimodal data supply chain for oncology and an expandable clinical decision support systemSemantic proximity Read

From Spreadsheets and Bespoke Models to Enterprise Data Warehouses: GPT-enabled Clinical Data Ingestion into i2b2Semantic proximity Read

The CFDE Workbench: Integrating Metadata and Processed Data from Common Fund ProgramsSemantic proximity Read

Linking the ECRIN Metadata Repository with the BBMRI-ERIC Directory to connect clinical studies with related biobanks and collectionsSemantic proximity Read

Accelerating precision medicine: a proposed framework for large-scale multiomics data integrity, interoperability, analysis, and collaboration in biomedical discoverySemantic proximity Read

FHIR as a Unifying Format for Genomic Research Data Tracking, Aggregation, and IntegrationSemantic proximity Read

New implementation of data standards for AI in oncology. Experience from the EuCanImage projectSemantic proximity Read

Standardized Informatics Computing Platform for Advancing Biomedical Discovery Through Data SharingSemantic proximity Read

Working with sensitive dataSemantic proximity Read