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www.laurea.fi
Director Isto Mattila
Benefits of common data gathering model in
Northern and Baltic Countries for fire safety
assessments ”What knowledge and analytical methods are needed to support evidence-
based fire safety?” – workshop
Thursday 10th – Friday 11th Karlstad
1
www.laurea.fi
Laurea University of Applied Sciences
Education provider for health care, service design and security
management
8000 students, 550 personnel
Locates in Helsinki/Finland metropolitan area, 6 campuses
The largest civil security education provider in Finland
Security education in Finnish and English:
-Security Management/ Bachelor of Business Admin.
-Security Management Leadership program/ Master of Business Admin.
-National Security Criteria Auditor (KATAKRI) programm
Strong security project portfolio (national,international funding):
SARC 2017-2018; Barents Rescue 2015; DG ECHO/ EX evaluations
2016-2018, ARCSAR, ANDROMEDA, EUCISE, MARISA, RANGER, ECHO
Member in EOS, ECSO, ESDC, UArctic …
October 15, [email protected] 2
www.laurea.fi
Content of Presentation
Common data
sharing model
Benefits
Practical example
(fire statistics)
2 major benefits
Next steps
October 15, 2019Author 3
www.laurea.fi
Existing challenges for data sharing
(common problem for almost all
sectors)
Multiple actors and organisations in different levels
Different cultures and history for data management
Variable long term data statistics – missing common trends?
Several ICT environments
No common agreement for sharing
No coherent statistical base for analysis
Best practices – how to follow?
Research not coordinated – overlapping measures
October 15, 2019Author 4
www.laurea.fi
5
PROMLEM STATEMENT: FIRE SAFETY HAS A LOT OF INFORMATION…BUT OFTEN
NOT SHARED!
Reporting
Intelligence
Sensors
Platforms/systems
Data bases
REPORTING
SENSORS
PLATFORMS
INTELLIGENCE
DATA BASES
SHARING AND FUSION
AWARENESSKNOWLEDGEDECISIONSGOVERNANCE
The information gapMore, Better, Cheaper
Without a common information
sharing system, a tiny proportion
of what could be achieved is
actually achieved. By closer
communication and co-operation
at fire safety, more could be
done, more effectively, and with
less money
Different data types..
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FIRE DATA example – own data model
October 15, 2019Author 9
DIFFICULT/
EASY TO
SHARE ?
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FIRE DATA example – shared data model
October 15, 2019Author 10
BETTER TO
SHARE?
This is data –
sharing
principle
Dwelling house
Terraced house
Block of flats
Casual residential
building
Commercial building
Office building
Traffic building
Nursing building
Construction of assembly
Teaching Building
Industrial Building
Storehouse
Fire, rescue building
Shed
Other building
Sauna building
Building fires by type of building…
Total
BENEFIT 1: EFFICIENT RESPONSE PLANNING
• i
End-users
Short term,existing
Mid term,forthcomingyears
Long term,5+ year
RESULT
Informationhow to fill gaps
New tools andnew services,
RESULT
response planningwill increasecapacity and capabilities
AWARENESSKNOWLEDGE
DECISIONSGOVERNANCE
Response planning
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
KPI
Comparedperformanceindicatorsbetweendifferentauthorities(requires data sharing)
GAP
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Benefit 2: Capacity Evaluation could be
done if data is shared
October 15, 2019Author 12
Situation as it is
Evaluation planning e.g. better efficiency
Methodology agreement between
evaluator and organisation
ACTUAL EVALUATIONReporting and
findings
Continuity management
Everyday, practical use
AMBITION
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Expected impact
Common understanding of innovation potential
More widely accepted understanding, expression of
common innovation and standardization needs
More articulated and coordinated uptake of innovative
solutions
More efficient use of investments made across Europe in
demonstration, testing, and training facilities
Synergies with already established European, national
and sub-national networks
An improved and professionalized NCP service
October 15, 2019Author 13
www.laurea.fi October 15, [email protected] 14
Important notice: common data gathering
model for fire safety assessments doesn’t
require new system
• A set of information sharing agreements which enable public authorities to provide and/or consume information services. Clarifying:
• what data is shared
• how data is processed (transformed, correlated, fused…)
• how data is transmitted
A set of common services (to allow participants to find each other, to find available services…)
+
Future vision:Smart Fire safety development environment
process and content after common data sharingI
Deliverables (D)/ yearlyresults R I T Policy & Procurement
Recommendations(PPR)
Discussion & selection of next year topics in R, I, T
Year 1.
Solve gaps & needs in • Research (R)• Innovation (I) • Training (T)
Year 2.Year
4.Year
3.
discussion & selectionof themes in R, I, T
D/ yearly results R I T PPR
PPR reasonabilitycheck & validation
PPR reasonabilitycheck & validation
Discussion & selection of next year topics in R, I, T
Recommendations for future R, I, T activities to enhancecapabilities
Innovations to utilize that increase preparedness to increase fire safety
Trainings, training material & trained personnel thatenhance European capabilities to act against hybridthreats
New policy and procurement recommendations
ETC…
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Possible way forward to enhance fire safety
based on best practices and methods
To establish a project for
automated info sharing
Constant automated gap
analysis (project)
Operational evaluation analysis
(project)
Recommendations to individual
actors (constant improvement)
October 15, 2019Author 17
www.laurea.fi
THANK YOU
More information:
R&D Director Isto Mattila
+358 40 588 1108
Laurea University of Applied Sciences
Vanha maantie 9, 02650 Espoo, Finland
October 15, [email protected] 18