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
Link To Document :
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