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DataFinder: Organizing the Data Chaos of Scientists

Schreiber, Andreas (2008) DataFinder: Organizing the Data Chaos of Scientists. PyCon UK 2008, 2008-09-12 - 2008-09-14, Birmingham, Großbritannien. (Unpublished)

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The DataFinder is a data management client developed in Python that primarily targets the management of scientific technical data. Data can be attached with individual meta data that is based on a free-definable data model to achieve data structuring and ordering. Moreover, the system is able to handle large amounts of data and can be easily integrated in existing working environments. The system is based upon a client-server-architecture and uses open, stable standards. One of its main features is the extensibility using Python scripts. The talk gives an overview about the basic concepts of the DataFinder and demonstration of typical usage scenarios. Additionally, our experiences developing such a system using the Python programming language is presented, including an overview over the used Python modules, for example the Open Source Python WebDAV library developed at DLR.

Item URL in elib:https://elib.dlr.de/56438/
Document Type:Conference or Workshop Item (Speech)
Title:DataFinder: Organizing the Data Chaos of Scientists
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Date:13 September 2008
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:DataFinder, Data management, Python
Event Title:PyCon UK 2008
Event Location:Birmingham, Großbritannien
Event Type:international Conference
Event Dates:2008-09-12 - 2008-09-14
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Köln-Porz , Braunschweig
Institutes and Institutions:Institut of Simulation and Software Technology > Distributed Systems and Component Software
Deposited By: Schreiber, Andreas
Deposited On:01 Dec 2008
Last Modified:27 Apr 2009 15:32

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