• DocumentCode
    1329043
  • Title

    Caring for Your Data

  • Author

    Hinsen, Konrad

  • Author_Institution
    Centre de Biophys. Mol. in Orleans, Orleans, France
  • Volume
    14
  • Issue
    6
  • fYear
    2012
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    In the long run, your data matters more than your code. It´s worth investing some effort to keep your data in good shape for years to come. Data is at the heart of science. A scientist is expected to be able to back up all published conclusions with data. Data management should thus be a priority in science. Scientists can´t afford to lose data, be uncertain of what it means, or not know where it came from. In the experimental sciences, there´s a long tradition of writing down all experimental setups, parameters, and results meticulously in a lab notebook. Unfortunately, computational science is much less rigorous about data handling, although there are clear signs of improvement. Here, we´ll consider what you can do to better prepare and manage your data.
  • Keywords
    data handling; data models; computational science; data handling; data management; Data models; Database systems; Mathematical model; Software development; XML; HD5; NetCDF; data format; data modeling; scientific computing;
  • fLanguage
    English
  • Journal_Title
    Computing in Science & Engineering
  • Publisher
    ieee
  • ISSN
    1521-9615
  • Type

    jour

  • DOI
    10.1109/MCSE.2012.108
  • Filename
    6341744