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Imaging Infrastructure for Research. Part 2. Data Management Practices

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Abstract

In part one of this series, best practices were described for acquiring and handling data at study sites and importing them into an image repository or database. Here, we present a similar treatment on data management practices for imaging-based studies.

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References

  1. National Cancer Institute. The Cancer Biomedical Informatics Grid. 2011; Available from: http://cabig.cancer.gov/

  2. Channin DS, Mongkolwat P, Kleper V, Sepukar K, Rubin DL: The caBIG annotation and image Markup project. J Digit Imaging 23(2):217–225, 2010

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Authors and Affiliations

  1. Radiology, Washington University School of Medicine, 4525 Scott Ave, Campus Box 8225, St. Louis, MO, 63110, USA

    Daniel S. Marcus

  2. Department of Radiology, Mayo Clinic, Rochester, 200 First Street SW, Rochester, MN, 55905, USA

    Bradley J. Erickson

  3. Center for Comprehensive Informatics, Emory University, 201 Dowman Drive, Atlanta, GA, 30322, USA

    Tony Pan

Authors
  1. Daniel S. Marcus
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  2. Bradley J. Erickson
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  3. Tony Pan
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Consortia

CTSA Imaging Informatics Working Group

Corresponding author

Correspondence to Bradley J. Erickson.

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Marcus, D.S., Erickson, B.J., Pan, T. et al. Imaging Infrastructure for Research. Part 2. Data Management Practices. J Digit Imaging 25, 566–569 (2012). https://doi.org/10.1007/s10278-012-9502-6

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  • DOI: https://doi.org/10.1007/s10278-012-9502-6

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