NICIS: Research Innovation for a Competitive
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Transcript NICIS: Research Innovation for a Competitive
NICIS: Research Innovation for a
Competitive Economy
Anwar Vahed, Manager, DIRISA
Outline
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Fourth research paradigm
Innovation & competitiveness
NICIS
DIRISA
Research is Changing; has Changed…
The Data Deluge: a 4th Research Paradigm
• Before 15-16th century: Experimental Science
– Describe natural phenomena
• Last centuries: Theoretical Science
– Newton’s Laws, Maxwell’s Equations, Einstein’s
theory…
• Last few decades: Computational Science
– Simulation of complex phenomena: Climate change,
Aerodynamics, Robotics…
• Today: Data Intensive Science
– Data overload from instruments, simulations,
humans
Data: Essential Infrastructure
Data: representations of observations, objects
or entities used as measurements and
evidence of phenomena for the purposes of
research or scholarship
• “Those who share data, do better science”
• Re-used data allow us “to see further ... and
to do it all more quickly and easily”
• Much research effort (and cost) in data
collection but not rewarded. Trend is
changing
• Data represents our heritage
Data connects Disciplines
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Physical & Chemical Sciences
Biological Sciences
Medicine & Health
Engineering &
Manufacturing
Environmental &
Earth Sciences
Social Sciences & Humanities
Languages
Education
Business & Economics
Law
Social media
Service delivery,…
Innovation is changing, has changed…
• Industry 4.0: the bleeding edge lies in
the cracks between disciplines
• Innovation is about new thinking,
– IoT & IoE
– Citizen Science
– Deep AI
• much shorter time to insight,
– Really very fast processing,
– Really very fast connectivity
– Lots and lots of data
• a world where all data is linked
National Investment Research Data
Investment
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SKA projected budget
€ 2 billion to 2020
€ 650 million for Phase 1
SA so far: R2 billion
SANSA: Earth Observation
• SAEON: Environmental
SADA: Survey & related
• HSRC: Human Sciences
and Humanities
SAAO: Astronomy
• DataFirst: Survey and
Academia & research
Administrative
councils:
• Agincourt: Social &
Meteorology, Climate change,
Water, Energy…
Health demographics
Government
• SANSA: Earth
departments
Observation
National Integrated
Cyberinfrastructure System (NICIS)
• Amalgamated
physically
distributed cyber
platform for
e-research
• Overarching
coordination &
national strategy
– National (T1)
– Regional (T2)
– Institutional (T3)
• Priority & crosscutting domains
Health, Bio & Food
Phy Sci & Eng.
Energy
Earth & Environment
Humans & Society
Materials & Manuf.
Data intensive research environments (SA_Grid … Cloud)
Core
services
Computing
Services
(CHPC +)
Networking
Services
(SANReN)
Data
Services
(DIRISA)
Networked
resources
Skills & expertise
© CSIR, 2016
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Skills and expertise
Advocacy and Outreach
Improving RoI: DIRISA
Services & e-Research
Environments
Data management
National Data Infrastructure
SAEON
SANSA
UWC
StatsSA
Research
Ecosystems:
cross & multi
disciplinary
research
Data Services:
harmonised data
management
Federated Data
Infrastructure:
observations
(models and
measurements)
South African National Data
Infrastructure and Services (SANDIS)
DSubscribe
• Register as
DIRISA user
DataDrop
• Deposit
and store
data
reliably
User documentation
FindGet
• Discover,
download
data sets
Help & support
SafeShare
DataStage
• Safely
share data
with users
• Prepare
data for
processing
Communities
Phase2: Collaborative Research Environments
My data management plans
My workflows
My data sets and outputs
My communities
Community driven
SANDIS: Automated Data
Management
• PID Registries
• Data type registries
• Minimal metadata standard
(e.g., Dublin Core)
• Trusted Repository
Certification: WDS DSA
• Entire lifecycle: (upload to
preservation/expunction)
SANDIS: South African National Data
Infrastructure and Services
• Research
Data
Alliance
• CODATA
Exemplars
• EUDAT
• ANDS
• UK D_A
• Data.gov
In Conclusion...
Improving competitiveness
• Maximise return on
investment (80% of research
data is publicly funded)
• Open Data: make data FAIR
(Free, Accessible,
Interoperable, Reusable)
• Improve integrity and
provenance (Link data
and literature)
More
diverse
research
Incentive for
producing
research
data
Promotes
good
research
practice
More good
quality
data
More
integrated
research
Thank you
[email protected]