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A SQUARE PEG IN A
ROUND HOLE
Re-designing high performance computing
infrastructure to meet privacy and ethical
requiremen...
Image: Datanami (http://goo.gl/Mi3orK)
Image: NPR (http://goo.gl/kfyF4A)
4
OVERVIEW
1. Scope
2. Context / current situation
3. Dilemma: can’t force a square peg into a round hole
4. Current activ...
5
SCOPE
• Research data that has been collected on individuals, which has received REB
approval
• New and future users of ...
6
CONTEXT – ROUND HOLE
7
CONTEXT – SQUARE PEG
• What does this mean for data governed under legislation and ethical
requirements?
• Data governan...
8
CURRENT ACTIVITIES – NATIONALLY
• Compute Canada Security Program
• Security framework, aligned on ISO 27001/27002
• Aim...
9
CURRENT ACTIVITIES – NATIONALLY
• Consultation process between Compute Canada and partner institutions
• Partnerships wi...
10
CURRENT ACTIVITIES – LOCALLY
• UBC Advanced Research Computing (ARC) team
• Free institutional service supporting the h...
11
LESSONS LEARNT SO FAR
TRUST STACK
idea platform other person
12
LESSONS LEARNT SO FAR
CONTEXT
legislative institutional discipline
13
LESSONS LEARNT SO FAR
14
THANK YOU AND QUESTIONS
Kaitlyn Gutteridge
Research Data Privacy and Security Officer, UBC
kaitlyn.gutteridge@ubc.ca
ww...
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Cyber Summit 2016: A square peg in a round hole: Re-designing high performance computing infrastructure to meet privacy and ethical requirements associated with sensitive research data

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Traditionally, natural sciences have predominantly leveraged High Performance Computing (HPC) infrastructure within academic environments, where significant computational resources have enabled astronomers to engage in the simulation modeling of stars and galaxies, or physicists to study proton- proton collisions. With the emerging use of HPC for social and health sciences, additional controls must be implemented to ensure compliance with legislative, institutional and ethical frameworks that govern sensitive research data. Often robust security measures are considered as a suitable response for managing the additional constraints presented by this paradigm shift. This approach is not sufficient as systems originally developed to support non-sensitive data must be re-designed to effectively embed privacy and ethical requirements – which is a necessary and often daunting task.

Drawing from experience at a provincial and national level, this presentation by Kaitlyn Gutteridge, Research Data Privacy and Security Officer at the University of British Columbia, considers cross-cutting privacy and ethical requirements throughout the research data lifecycle including data sovereignty and governance, data sharing and linkage, and the informed consent process. Best practices and examples of how organizations and institutions are embracing this challenge are put forward.

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Cyber Summit 2016: A square peg in a round hole: Re-designing high performance computing infrastructure to meet privacy and ethical requirements associated with sensitive research data

  1. 1. A SQUARE PEG IN A ROUND HOLE Re-designing high performance computing infrastructure to meet privacy and ethical requirements associated with sensitive research data KAIT LY N GUT T ERIDGE RESE AR C H DAT A PRIV ACY AND SECURIT Y OFFICER UNIVERS IT Y OF BRIT ISH COLUM BI A
  2. 2. Image: Datanami (http://goo.gl/Mi3orK)
  3. 3. Image: NPR (http://goo.gl/kfyF4A)
  4. 4. 4 OVERVIEW 1. Scope 2. Context / current situation 3. Dilemma: can’t force a square peg into a round hole 4. Current activities and areas of interest moving forward 5. Lessons learnt
  5. 5. 5 SCOPE • Research data that has been collected on individuals, which has received REB approval • New and future users of Compute Canada infrastructure • Province of BC and within UBC’s governance structure • Takes into consideration what is / will be in place with Compute Canada Security Program • Ethics and privacy lens
  6. 6. 6 CONTEXT – ROUND HOLE
  7. 7. 7 CONTEXT – SQUARE PEG • What does this mean for data governed under legislation and ethical requirements? • Data governance • Data sovereignty • Research data lifecycle • Access, use, storage, retention, destruction • Ethical validity
  8. 8. 8 CURRENT ACTIVITIES – NATIONALLY • Compute Canada Security Program • Security framework, aligned on ISO 27001/27002 • Aims to identify and mitigate gaps caused by CC activities • Leverage local controls and define requirement for additional controls • Key goals: • Better alignment between CC’s services and CC’s strategic vision; • More efficient implementation of controls for information security; • Minimization of overall risk; • Enhancement of trust by external partners; • Better coordination and response to threats and incident.
  9. 9. 9 CURRENT ACTIVITIES – NATIONALLY • Consultation process between Compute Canada and partner institutions • Partnerships with organizations and Compute Canada nodes such as: • BC Genome Sciences Centre • HPC4Health • Population Data BC • Health Data Privacy and Governance Best Practices • Alignment with other national initiatives including Research Data Canada’s work
  10. 10. 10 CURRENT ACTIVITIES – LOCALLY • UBC Advanced Research Computing (ARC) team • Free institutional service supporting the high-performance computing and data management needs of UBC researchers. • Pre-grant consultation on infrastructure and privacy, security, data management needs (CFI and non-CFI) • Data Management Plans – Research Ethics Board integration • Compliance mapping – UBC and Health Authority requirements on CC infrastructure
  11. 11. 11 LESSONS LEARNT SO FAR TRUST STACK idea platform other person
  12. 12. 12 LESSONS LEARNT SO FAR CONTEXT legislative institutional discipline
  13. 13. 13 LESSONS LEARNT SO FAR
  14. 14. 14 THANK YOU AND QUESTIONS Kaitlyn Gutteridge Research Data Privacy and Security Officer, UBC kaitlyn.gutteridge@ubc.ca www.arc.ubc.ca

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