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Gateways to Science: Harnessing Big Data and Open Data for Precision Medicine
Sandra Gesing1, Michael Zentner2, Maytal Dahan3, and Katherine Lawrence4 1University of Notre Dame, Notre Dame, IN, USA, 2Purdue University, West LafayeLe, IN, USA, 3University of Texas, AusOn, TX, USA, 4University of Michigan, Ann Harbor, MI, USA
contact: [email protected]
h"p://sciencegateways.org
Background
• Ini7a7ves and projects fostering Big Data and Open data for health are ongoing
• Companies address efficient and secure data sharing • Novel technologies in genomics allow crea7ng data in exascale
dimensions
Stakeholders of Big Data and Open Data for Precision Medicine • Scien8sts • Physicians • Pa8ents • Pharmacy • Insurers • Regulators
Challenges
Summary Sharing and analyzing data in genomics and precision medicine on a large scale enables be"er diagnoses, treatment op7ons, overall well-‐being and personalized medicine for pa7ents around the globe.
Science gateways form a solu7on to address the challenges on usability of tools and sharing data under considera7on of data security and privacy. They hide the complex underlying compu7ng and data infrastructure as far as feasible and desired by the user communi7es and are in general tailored to different target groups with diverse backgrounds, demands and IT knowledge.
The Science Gateways Community Ins7tute (SGCI) as an online and physical resource for community building supports science gateways via sharing exper7se, such as experiences, technologies, and prac7ces. It enables gateway creators to leverage efforts across projects and can step in with supplemental exper7se when needed by a project.
1. Meaningful data aggrega7on and analysis 2. Real-‐7me analy7cs 3. Privacy and security demands 4. Lack of usability of solu7ons 5. Missing integra7on of data sources and instruments 6. Complicated US and European privacy laws on health data 7. Diversity of stakeholders
è Technical solu-ons can • address the first five challenges • assist with data and measures for easing policies on health data • support diverse user roles via easy-‐to-‐use end-‐to-‐end solu7ons
Science Gateways • Are tailored to a targeted community • Form end-‐to-‐end solu7ons: web-‐based, mobile or desktop applica7ons • Provide intui7ve access to advanced resources • Allow to tackle today’s challenging science ques7ons
Science Gateways Community Ins9tute
• sent out to 29,000 persons • 4,957 responses from across domains • 52% from life, physical or mathema7cal sciences • 32% from computer and informa7on sciences or engineering • 45% develop data collec-ons • 44% develop data analysis tools
Science Gateway Survey
What services would be helpful? Which exper7se is needed?
The SGCI serves the community with free resources, services, experts and ideas for crea7ng and sustaining science gateways.
!
NSF Award Number ACI-‐1547611
References: Gesing, S., Wilkins-‐Diehr, N., Dahan, M., Lawrence, K., Zentner, M., Pierce, M., Hayden, L.B., and Marru, S. “Science Gateways: The Long Road to the Birth of an Ins7tute”. Proc. of HICSS-‐50 (50th Hawaii Interna7ona Conference on System Sciences), 4-‐7 January 2017, Hilton Waikoloa, HI, USA. Lawrence, KA, Zentner, M, Wilkins-‐Diehr, N, Wernert, JA, Pierce, M, Marru, S, Michael, S. “Science gateways today and tomorrow: Posi7ve perspec7ves of nearly 5,000 members of the research community,” Concurrency and Computa7on: Prac7ce and Experience, 2015.
Proposed Service % Interest
Evaluation, impact analysis, website analytics 72%
Adapting technologies 67%
Web/visual/graphic design 67%
Choosing technologies 66%
Usability Services 66%
Visualization 65%
Developing open-source software 64%
Support for education 64%
Community engagement mechanisms 62%
Keeping your project running 62%
Legal perspectives 61%
Managing data 60%
Computational resources 59%
Mobile technology 59%
Database structure, optimization, and query expertise 59%
Data mining and analysis 58%
Cybersecurity consultation 57%
Website construction 57%
Software engineering process consultation 53%
Source code review and/or audit 51%
High-bandwidth networks 45%
Scientific instruments or data streams 44%
Management aspects of a project 38%
High-‐level design of the scien7fic somware collabora7ve
Conceptual overview on the five service areas of the SGCI