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SLAS2019 Short Courses

Data Management in the Age of Big Data, Mobile, and the Cloud

This data management course provides decision makers and practitioners from bio-pharma, healthcare, and academia with a comprehensive overview of IT trends in laboratory automation, data management, and systems integration. It highlights the current hot fields in data management, big data, cloud computing and mobile technologies.

The short course will bring you up to speed on these cutting-edge technologies. It provides crucial guidance for assessing how these new technologies fit into your laboratory data landscape. The instructor supplies practical guidance and examples for how to apply these techniques to laboratory workflows.

Full Course Content:

  • Data Management
    • Data Representation
    • Databases, XML and Related Technologies
    • Scientific Data Management
    • Long-term Archival
  • Big data
    • What is big data? What is new about it?
    • Dealing with large data volumes or varying structure
    • Data representation: NoSQL and hierarchical data
    • Use cases and case studies in lab informatics
    • Data Standards: Structuring the repository content, AnIML format
  • Mobile
    • Mobile use cases for the laboratory
    • Which workflows can be supported effectively?
    • Addressing inherent limitations in bandwidth and computing power
    • Selecting devices and platforms to use
    • Addressing the "bring your own device" (BYOD) challenge
  • Cloud computing
    • Lab informatics cloud use cases and case studies
    • Public vs. Private Cloud, hybrid approaches
    • Balancing benefits and risks
    • Return on investment and total cost of ownership considerations
    • Authentication, security and trust concerns
    • Archiving considerations
    • Legal and regulatory status of cloud environments
    • Architecting a cloud solution for your organization
    • Portability between cloud providers: Avoiding vendor lock-in

Who Should Attend:

  • Individuals looking for an overview of information technology topics relevant to a laboratory environment.
  • The target audience for this class is laboratory IT decision makers and professionals from pharmaceutical, biotech, clinical companies, and research.

How You Will Benefit From This Course:

  • Learn about current and upcoming information technology and how to leverage them in a laboratory
  • Evaluate the suitability of cloud computing and understand its risks and benefits
  • Become aware of how to integrate mobile devices into your laboratory workflows
  • Understand how to store, manage, and analyze your data using traditional and big data technologies
  • Survey applicable standards and architectures

Course Topics:

  • Data Management
  • Big Data
  • Mobile
  • Cloud Computing

Instructors:

Burkhard Schaefer

Burkhard Schaefer
BSSN Software GmbH

Burkhard Schaefer is a laboratory informatics system architect. He is a regular contributor to the SLAS short course program and has been involved with the LECIS standardization effort at Los Alamos National Laboratory (LANL) and the AnIML standardization project with the National Institute of Standards and Technology (NIST) and the American Society for Testing and Materials (ASTM).

Burkhard holds a Diploma of Computer Science from the Technical University of Kaiserslautern and has been teaching short courses for the SLAS for over 20 years.


Our Sponsors

Premier Sponsor:
Hamilton

  • Diamond Sponsor

    Artel
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    BMG Labtech
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    Corning
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    Scinomix
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    Thermo Fisher Scientific
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    Waters
  • Platinum Sponsor

    Beckman Coulter
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    Hamamatsu
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    Miltenyi Biotec
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    Molecular Devices
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    Tecan
  • Gold Sponsor

    Agilent
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    Biotek
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    Eppendorf
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    Gilson
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    HighRes Biosolutions
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    Labcyte
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    StemoniX
  • Silver Sponsor

    Analytik Jena
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    BioNex Solutions
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    Cisbio
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    Greiner Bio-One
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    NanoTemper
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    Sirius Automation Group
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    Titian
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    Biocompare
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    C&EN
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    Cell Press
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    CLP
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    DDN News
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    DDW
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    DTR
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    GEN News
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    Labcompare
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    LabManager
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    Science AAAS
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    Select Science
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    Technology Networks
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    The Analytical Scientist
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    The Scientist
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    The Translational Scientist