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Semi-automated population of an online database of neuronal models (ModelDB) with citation information, using PubMed for validation

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Abstract

Citations play an important role in medical and scientific databases by indicating the authoritative source of the data. Manual citation entry is tedious and prone to errors. We describe a method and make available computer scripts which automate the process of citation entry. We use an open citation project PERL module (PARSER) for parsing citation data that is then used to retrieve PubMed records to supply the (validated) reference. Our PERL scripts are available via a link in the web references section of this article.

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References

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Authors and Affiliations

  1. Centre National de la Recherche Scientifique, I Avenue de la Terrasse (Bat. 33), 91198, Gif-sur-Yvette, France

    Andrew P. Davison

  2. Department of Neurobiology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT

    Thomas M. Morse, Michele Migliore, Gordon M. Shepherd & Michael L. Hines

  3. Institute of Biophysics, National Research Council, Palermo, Italy

    Michele Migliore

Authors
  1. Andrew P. Davison
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  2. Thomas M. Morse
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  3. Michele Migliore
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  4. Gordon M. Shepherd
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  5. Michael L. Hines
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Corresponding author

Correspondence to Thomas M. Morse.

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Davison, A.P., Morse, T.M., Migliore, M. et al. Semi-automated population of an online database of neuronal models (ModelDB) with citation information, using PubMed for validation. Neuroinform 2, 327–332 (2004). https://doi.org/10.1385/NI:2:3:327

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  • DOI: https://doi.org/10.1385/NI:2:3:327

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