title: Experimental Data and Geometric Analysis Repository-EDGAR.
abstract: BACKGROUND
  The "Experimental Data and Geometric Analysis Repository", or EDGAR is an Internet-based archive of curated data that are freely distributed to the international research community for the application and validation of electrocardiographic imaging (ECGI) techniques. The EDGAR project is a collaborative effort by the Consortium for ECG Imaging (CEI, ecg-imaging.org), and focused on two specific aims. One aim is to host an online repository that provides access to a wide spectrum of data, and the second aim is to provide a standard information format for the exchange of these diverse datasets.
  
  
  METHODS
  The EDGAR system is composed of two interrelated components: 1) a metadata model, which includes a set of descriptive parameters and information, time signals from both the cardiac source and body-surface, and extensive geometric information, including images, geometric models, and measure locations used during the data acquisition/generation; and 2) a web interface. This web interface provides efficient, search, browsing, and retrieval of data from the repository.
  
  
  RESULTS
  An aggregation of experimental, clinical and simulation data from various centers is being made available through the EDGAR project including experimental data from animal studies provided by the University of Utah (USA), clinical data from multiple human subjects provided by the Charles University Hospital (Czech Republic), and computer simulation data provided by the Karlsruhe Institute of Technology (Germany).
  
  
  CONCLUSIONS
  It is our hope that EDGAR will serve as a communal forum for sharing and distribution of cardiac electrophysiology data and geometric models for use in ECGI research.
authors: Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA. Electronic address: kedar.aras@gmail.com.
authors: Kedar
authors: K
authors: Aras
authors: Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA.
authors: Wilson
authors: W
authors: Good
authors: Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA.
authors: Jess
authors: J
authors: Tate
authors: Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA.
authors: Brett
authors: B
authors: Burton
authors: Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
authors: Dana
authors: D
authors: Brooks
authors: Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
authors: Jaume
authors: J
authors: Coll-Font
authors: Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
authors: Olaf
authors: O
authors: Doessel
authors: Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
authors: Walther
authors: W
authors: Schulze
authors: Institute of Biomedical Engineering, Karlsruhe Institute of Technology, Karlsruhe, Germany.
authors: Danila
authors: D
authors: Potyagaylo
authors: Program of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY, USA.
authors: Linwei
authors: L
authors: Wang
authors: Radboud University, Nijmegen, The Netherlands; David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
authors: Peter
authors: P
authors: van Dam
authors: Bioengineering Department, Scientific Computing and Imaging Institute (SCI), Cardiovascular Research and Training Institute (CVRTI), University of Utah, Salt Lake City, UT, USA.
authors: Rob
authors: R
authors: MacLeod
mesh_terms: D001145:Arrhythmias, Cardiac / Q000175:diagnosis*; D035843:Biomedical Research; D066289:Data Curation / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D004562:Electrocardiography; D006801:Humans; D020407:Internet; D014584:User-Computer Interface
keywords: Database; ECG; Forward and inverse problems