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BEGIN:VEVENT
UID:DSC-15586
DTSTART;TZID=Europe/Berlin:20190207T164000
SEQUENCE:1548240446
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20190207T180000
URL:https://www.dresden-science-calendar.de/calendar/de/detail/15586
LOCATION:BZW\, Zellescher Weg 1701069 Dresden
SUMMARY:Schlemmer: There is more in your data! - How semantic data manageme
 nt can boost scientific efficiency
CLASS:PUBLIC
DESCRIPTION:Speaker: Alexander Schlemmer\nInstitute of Speaker: MPI für Dy
 namik und Selbstorganisation\, Göttingen\nTopics:\nPhysik\, Informatik\n 
 Location:\n  Name: BZW (A120)\n  Street: Zellescher Weg 17\n  City: 01069 
 Dresden\n  Phone: \n  Fax: \nDescription: In nearly all scientific fields\
 , increasing amounts of data are generated nowadays. In many cases\, not o
 nly the mere quantity of data increases\, but also their complexity which 
 can be characterized by a huge variety of data formats and interconnection
 s. Although modern IT systems provide vast possibilities for storing\, dis
 tributing\, processing and analysing these data\, in many setups rather si
 mple scientific inquiries cannot be answered with sufficient quality. One 
 important example is the retrieval of raw or possibly preprocessed data wh
 ich were used for a specific analysis included in a specific publication. 
 For some scientific fields\, specific solutions exist\, like electronic la
 b notebooks or laboratory inventory systems\, but still fail to acquire wi
 despread uptake. A common obstacle is that the adaption of a new data mana
 gement workflow can be very time-consuming and too heavily influence estab
 lished workflows within a workgroup. In this talk I will present concepts\
 , workflows and a software implementation which have been developed at our
  Research Group Biomedical Physics in order to target these issues. Our op
 en-source software CaosDB implements a flexible semantic data model and pr
 ovides practical tools to integrate and search high amounts of complex int
 erconnected data. It will be shown that the semantic nature of this data m
 anagement system facilitates posing complex scientific queries allowing fo
 r a more efficient and versatile data analysis.  
DTSTAMP:20260914T062523Z
CREATED:20190123T104726Z
LAST-MODIFIED:20190123T104726Z
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