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Article History

Accepted: 2 June 2024

First Online: 6 July 2024

Declarations

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: We declare that the authors have no Conflict of interest as defined by Springer, or other interests that might be perceived to influence the results and/or discussion reported in this paper.

: for PRSS Algorithm Development and Validation Using Synthetic and Open-Source Real-World Data. Research Objective: The objective of this study is to develop and validate a Skyline algorithm for processing streaming data. The research does not involve human or animal participants or the use of sensitive data. Instead, the algorithm was developed and validated using both synthetic data generated from the open-source skyline data generator software () and real-world data available in a public repository under the Creative Commons license. Study Design: 1. Algorithm Development: The PRSS algorithm was developed using standard programming practices and techniques. The research team worked collaboratively to design, implement, and optimize the algorithm for processing streaming data. 2. Synthetic Data Generation: Synthetic data is generated using publicly available open-source software called the Standard Skyline Data Generator, which allows the creation of random data sets. This approach eliminates the need for any data collection involving human or animal participants. 3. Real-World Data Acquisition: The real-world data used for validation will be obtained from a public data repository with an open Creative Commons license. As such, no individual or private information will be involved in the study. Ethical Considerations: 1. Privacy and Data Usage: As there are no human or animal participants involved and the synthetic data is generated using open-source software, privacy concerns are not applicable in this research. 2. Compliance with Licensing Terms: The research team ensures full compliance with the licensing terms and conditions for using the real-world data available under the Creative Commons license. 4. Integrity and Transparency: The research team commits to conducting the study with integrity, transparency, and adherence to established scientific practices. Ethical Approval Process: 1. PhD student Khames Walid and the supervisors Allel Hadjali and Mohand Lagha prepared a comprehensive research proposal outlining the study design, data sources, privacy measures, and ethical considerations involved in the algorithm development and validation process. 2. The proposal was submitted to the ethics committee of the aeronautical institute of Blida for review. Given that the research does not involve human or animal participants or sensitive data, the ethics committee will focus on ensuring compliance with open-source software licensing terms. The Ethics Committee of the Aeronautical Institute of Blida has reviewed and approved our research. Since our study did not involve human participants, animals, or sensitive data, the committee ensured that all ethical principles and guidelines were followed throughout the research process. All authors involved in this research have provided their consent and agreement to publish the findings. 3. Upon approval, the research team proceeds with the algorithm development and validation process using the synthetic and open-source real-world data. 4. Research results are provided to the ethics committee to ensure continued adherence to ethical guidelines throughout the research.