Electronic Laboratory Notebooks and Collaborative Data Analysis

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Electronic Laboratory Notebooks and Collaborative
Data Analysis

• George Chin

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PNNL Electronic Laboratory Notebook

• Securable, shared WWW based space
• Interactive input of results into notebook
• Rich media types (text, images, files, 3D
  structures, voice, animations, video, ...)
• Querying/searching
• Automation of
• Data/Metadata input from instruments and
  calculations
• Access to full datasets
• Digital signatures

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Data Sharing

• Pedigree information saved with data sets
• Shared organized collections of data sets
• Traceable pedigree
• WebDAV implementation
• Higher-level data interfaces

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Collaborative Analysis in the VNMRF

• Real-time visual analysis
• Post-collection visual analysis
• Application sharing
• Event sharing
• Customized interactions/floor control

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Scientific Workflow Processes

• Capture and operationalization of research
  processes
• Visual programming and operation of experiments
• Linking of data, applications, and computers to
  research process
• Sharing and reproduction of processes through
  templates
• Execution history
• Semi-automatic generation of workflow
  representations

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Visual Analysis and Analytical Data Mining

• Scientists think about and discuss their theories
  and analyses in graphical form
• Capture of theories, scientific processes,
  experimentation processes, information
  relationships
• Capture graphical representations intuitive and
  natural to scientists

• Visual modeling environment
• Dynamic data models

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Visual Analysis and Analytical Data Mining

• Capture of hypothesis or analysis in graphical
  form
• Collect related analyses into scenarios/experiment
  s
• Collect into scenarios/experiments into case
  library
• Support data mining of analysis patterns and
  results through use of graph theory and data
  signatures
• Identifying patterns in real-time data streams

Scenario Case Library
Scenario / Experiment
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Collaboration with a Scientific Context