CLPLSEJan 7, 2021

Towards a Smart Data Processing and Storage Model

arXiv:2101.02522v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the critical need for data traceability and reliability for domains requiring strict ethical and legal compliance, such as healthcare or finance.

This paper outlines the requirements and theoretical challenges for designing a system that ensures complete data traceability from origin through processing, aiming to maintain consistency, trustworthiness, and reliability for ethical and legal compliance. It proposes an architecture and a Pharo-based prototype for such a system.

In several domains it is crucial to store and manipulate data whose origin needs to be completely traceable to guarantee the consistency, trustworthiness and reliability on the data itself typically for ethical and legal reasons. It is also important to guarantee that such properties are also carried further when such data is composed and processed into new data. In this article we present the main requirements and theorethical problems that arise by the design of a system supporting data with such capabilities. We present an architecture for implementing a system as well as a prototype developed in Pharo.

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