Thursday 5th July, 2012
9:00am to 9:45am
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.
Scientist, German Aerospace Center (DLR)
Andreas Schreiber is head of the Department for Distributed Systems and Component Software at the German Aerospace Center (DLR). He received a degree in industrial mathematics. His research fields include distributed computing, mobile systems, HPC, social networks, user interfaces, software engineering, and software quality assurance. Also he is Open Source advocate at DLR. He has a over 15-year history of Python development in the field of scientific and industrial applications and has convinced many engineers in the aerospace industry to use Python. He organzies events for Python in High-Perfomance and Scientific Computing. In 2011 he co-founded Medando, a startup that develops mobile apps and web applications for health care and medicine.
9:45am Reproducible Installation of Applications Using zc.buildout by Thomas Lotze
Sign in to add slides, notes or videos to this session