Data Integrity

Data integrity
Data integrity is particularly important in sensitive areas such as finance, healthcare and research. It includes aspects such as: Completeness, correctness, consistency and immutability.
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Data integrity refers to the correctness, completeness and consistency of data. In addition to the generation, this also refers to the storage and utilisation of data. Nowadays, there are almost unlimited possibilities to manipulate or falsify digital data records, which has been further accelerated by the boom in artificial intelligence in recent years. In the RSC³, we address the question of how the integrity of data in the space sector can generally be guaranteed, what technical possibilities exist to clearly verify that data generated by satellite-based sensor technology in space has been created by the expected source at the defined time and has not been manipulated during or after transmission. We are also investigating the extent to which tamper-proof databases can make the assembly, integration and testing (AIT) process safer and more efficient. Particularly with regard to the rapid reaction time of satellite transfers, complete and trustworthy documentation of asset and quality management in this process is essential for the user.