Page 73 - ITU Journal - ICT Discoveries - Volume 1, No. 2, December 2018 - Second special issue on Data for Good

ITU JOURNAL: ICT Discoveries, Vol. 1(2), December 2018

indicators. First, the GASP goals describe high-level
outcomes. In order to better reflect the global
objectives, the GASP goals were developed using the
structure presented in the United Nations (UN)
2030 Agenda for Sustainable Development. Then,
each of the GASP goals contains specific targets,
which are the specific actions taken by States,
regions and industry to achieve the corresponding
goals. Finally, the GASP indicators, as written as
quantitative data, were designed to provide the
evidence about whether the desired outcomes
occurred, as well as to measure the progress in the
activities related to the GASP targets.

For instance, the first goal of GASP is “Achieve a
continuous reduction of operational safety risks”, Fig. 1 – The data-driven decision making (D3M) process
and it has the GASP target of “Maintain a decreasing
trend of global accident rate”, and the target is Once the decision-making process is based on
supported by the indicators, such as number of the right data and information, it is referred
(fatal) accidents, (fatal) accident rate, fatalities, to as data-driven decision making (D3M).
fatality rate, etc. Moreover, in GASP principles, it Data-driven decision making involves making
was highlighted that taking data-driven decisions is decisions that are backed up by the data and
one of the key values for enhancing global civil quantifiable evidence, rather than making
aviation safety. The role of data-driven analysis is decisions that are intuitive or based on
essential in identifying challenges and determining observation alone [9]. The D3M supports
priorities, which are the foundations and contexts identifying risks and opportunities, mitigating
for developing a State’s or region’s aviation safety human error, determining a best-fit solution
plan in line with the GASP goals and targets. and providing credible evidence to
stakeholders and management to ultimately
3. DATA-DRIVEN DECISION-MAKING delivering the effective decision through data
FRAMEWORK FOR AVIATION SAFETY and information analysis.

3.1 Data-driven decision making ICAO is supporting several analysis solutions and
initiatives and facilitating the data-driven
As desribed in GASP, the transition towards a decision-making process to the global aviation
predictive and systemic approach for aviation community. These solutions, collectively referred to
safety management can be supported by as air navigation integration analysis solutions,
data-driven decision making (D3M). Due to include datasets, tools, methodologies and training
the complexity of global air transportation courses that facilitate data-driven decision making
systems continually increasing, proper data and help stakeholders identify and manage safety
management and analysis is now considered risks.
as crucial to improving both global and
regional safety performances. Therefore, 3.2 Indicators
ICAO has developed Annex 19 – Safety
Management and the Safety Management Indicators are measures that indicate and provide
Manual (SMM) containing SARPs and specific information on the status, level or condition
guidance material, respectively, requiring of targeting items. As defined in GASP, an indicator
States to establish safety data collection and is tied to an objective or goal and expresses the
processing systems (SDCPS) and conduct achievement of that objective or goal. Thus, the
safety data analysis [8]. indicators are the basic requirements of
data-driven decision making by measuring the
achievement of goals in various areas.

© International Telecommunication Union, 2018 51