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A Laboratory Notebook System

by Andreas Schreiber for EuroPython 2012

Many scientists are using a laboratory notebook when conducting experiments. The scientist documents each step, either taken in the experiment or afterwards when processing data. Due to computerized research systems, acquired data increases in volume and becomes more elaborate. This increases the need to migrate from originally paper-based to electronic notebooks with data storage, computational features and reliable electronic documentation.

This talks describes a laboratory notebook based on the Python data management software DataFinder. It allows to manage data from experiments and simulations, to run analysis software and to create visualizations of results. The laboratory notebook assures that the complete history of all performed steps ("Provenance") is recorded, that results can be signed digitally, and that results can be archived in a secure archive to avoid and prevent legal issues.

in on Thursday 5 July at 09:00 See schedule



  1. Gravatar
    The laboratory Notebook System will be a big help to scientists. Two thumbs up for the creator of the system.
  2. Gravatar
    As much as people may not like using new systems, you can't deny the fact that good computer software can often make any data recording system easier.

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45 minutes

Tagged as

scientific-computing gui data-analysis case-study
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