Sunday Short Courses
Additional fees apply. Visit https://www.slas2020.org/program/short-course-program/ for registration fees.
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 course will bring you up to speed on these cutting-edge technologies and 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
o Data Representation
o Databases, XML and Related Technologies
o Scientific Data Management
o Long-Term Archival
• Big data
o What is big data? What is new about it?
o Dealing with large data volumes or varying structure
o Data representation: NoSQL and hierarchical data
o Use cases and case studies in lab informatics
o Data Standards: Structuring the repository content, AnIML format
o Mobile use cases for the laboratory
o Which workflows can be supported effectively?
o Addressing inherent limitations in bandwidth and computing power
o Selecting devices and platforms to use
o Addressing the "bring your own device" (BYOD) challenge
• Cloud computing
o Lab informatics cloud use cases and case studies
o Public vs. Private Cloud, hybrid approaches
o Balancing benefits and risks
o Return on investment and total cost of ownership considerations
o Authentication, security and trust concerns
o Archiving considerations
o Legal and regulatory status of cloud environments
o Architecting a cloud solution for your organization
o 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.
• 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
• Data Management
• Big Data
• Cloud Computing