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SLAS2018 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 the area of 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
  • 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.

Those interested in the following tracks:

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 15 years.

Olivier Frey
InSphero AG

Olivier Frey leads the Technology and Platforms group at InSphero AG, Switzerland. Before joining InSphero, he was group leader at the Department of Biosystems Science and Engineering of ETH Zurich, Switzerland. In the Bio Engineering Laboratory of Prof. Andreas Hierlemann he was responsible for the development of integrated microfluidic systems for single cell handling and 3D tissue cultures. Included are in particular multi-tissue systems, or so-called “Body-on-a-Chip” configurations based on 3D microtissue spheroids for microtissue culturing, analysis and interaction. Olivier Frey received his Doctoral degree in Micro Engineering from EPF Lausanne, Switzerland, Laboratory of Prof. Nico de Rooij.

Alex Ng
Harvard Medical School / Harvard University

Alex Ng is a Systems Biology PhD student in Dr. George Church’s laboratory at Harvard Medical School. His research focuses on technologies to genetically engineer human tissues and cells, and uses next generation sequencing for systems-level characterization. He and his team constructed the first comprehensive human transcription factor library for stem cell differentiation and tissue engineering.

Patrick Guye
InSphero AG

Dr. Patrick Guye the chief scientific officer at InSphero. Previously, he held positions in industry (Sanofi) and academia (Massachusetts Institute of Technology, Princeton University) with focus on cell therapy, 3D cellular models/organoids, synthetic biology, human stem cell engineering, biologics and small molecules development, as well as precision genomic engineering. Patrick received his PhD in Molecular Infection Biology from the University of Basel.

Terry Riss
Promega Corporation

Dr. Terry Riss started the Cell Biology program at Promega in 1990 and held several R&D and Project Management positions since. Dr. Riss managed development of cell viability, cytotoxicity, apoptosis, and protease assay systems and also lead efforts to identify and promote multiplexing of cell-based assays to determine the mechanism of cell death. Dr. Riss now serves as Global Strategic Manager, Cell Health involved in outreach educational training activities. Dr. Riss has participated in several NIH study sections reviewing HTS grants and is co-editor of the In Vitro Cell Based Assays section of the Assay Guidance Manual hosted by NIH.


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