Data Acquisition Under Chain of Custody in the Era of Big Data

Abstract

In the contemporary landscape characterized by the proliferation of big data, the implementation of robust data acquisition protocols governed by a meticulous chain of custody has become a pivotal issue. This review explores the methodologies and frameworks involved in ensuring that data acquisition processes maintain integrity, security, and authenticity throughout their lifecycle. We discuss the challenges posed by the massive volumes, velocities, and varieties of big data, and how these affect the chain of custody requirements. Additionally, we assess current technologies and practices employed to address these challenges, including blockchain integration, advanced encryption techniques, and automated provenance tracking systems. Such innovations are critical in safeguarding the trustworthiness of data used for decision-making in scientific, commercial, and legal contexts. The review concludes by identifying gaps in the current literature and suggesting future research directions aimed at enhancing the efficacy and reliability of data acquisition practices under stringent chain of custody conditions.