Safety Data Collection and Analysis-Recurrent

Course Objectives

By the end of this course participants will be able to:

  • Develop and maintain the means to verify their safety performance by means of SDCPS
  • Ensure that it has personnel competent to collect and store the safety data.
  • Select the appropriate safety data collection methods.
  • Share safety information with appropriate levels.
  • Determine what to collect of safety data.
  • Apply mandatory safety reporting system.
  • Categorize safety data ideally be using taxonomies and supporting definitions.
  • Determine aspects of data quality.
  • Apply safety data processing methods.
  • Analyze the safety data and safety information from the SDCPS and associated safety databases.
  • Identify of systemic and cross-cutting hazards that might not otherwise be identified by the safety data analysis.
  • Establish effective safety metrics.
  • Establish safety presentation capabilities (e.g. safety dashboard.
  • Monitor safety performance of a given sector, organization, system or process.

Course Contents

Day 1

  • Safety data collection and processing systems.
  • Introduction.
  • Safety data and safety information collection.
  • Effective Management of Safety.
  • Regulations
  • SDCPS Safety Data Collections Processing System
  • Personnel Qualifications
  • Taxonomies.
  • Sharing Safety Information
  • Determining what to collect.
  • Safety data processing.
  • Safety data and safety information management.
  • Safety analysis.
  • Introduction.
  • Analysis Requirements.
  • Types of analysis.
  • Descriptive Analysis.
  • Inferential analysis.
  • Predictive analysis.
  • Combined analysis.
  • Reporting of analysis results.

Day 2

  • Data Driven Decision Making (D3M).
  • Safety analysis results Example.
  • Safety dashboards.
  • Data Driven Decision Making (D3M).
  • Safety information sharing and exchange.
  • Sharing within the State.
  • Level of Protection
  • Data-driven decision-making
  • Good decisions
  • Advantages of data-driven decision-making
  • Common challenges with data-driven decision-making.
  • Avoiding “Analysis Paralysis
  • Data-driven decision-making process.
  • Step 1 – Defining the problem or objective
  • Step 2 – Access to data to support the decision-making
  • Step 3 – Request data to support the decision-making
  • Step 4 – Interpret results of data analysis and make data-driven decision
  • Step 5 – Communicate the decision.
  • Decision-making models.
  • Protection of safety data, safety information and related sources.
  • Objectives and content
  • Fundamental principles
  • Scope of protection
  • Level of protection
  • Principles of protection
  • Principles of exception
  • Public disclosure
  • Protection of recorded data
  • Safety information sharing and exchange


Attending the Safety Data Collection and Analysis (Initial)

2 Days
Price [EGP] : 1200.00 - For Egyptians Price [USD] : 200.00 - For Non Egyptians
Course Schedule

This Course is Member of

Safety Management Courses