Trustworthy data acts as the fuel for ensuring transparent traceability and precise decision-making in many applications, such as, supply chain, Internet of Things (IoT), Industrial Internet of Things (IIoT), health-care, etc. However, disparate data repositories and untrustworthy data dissemination acts a barrier for efficient data management and secure data. The inception of Distributed Ledger Technology (DLT) solves such challenges by facilitating distributed, immutable, transparent, and fault-tolerant data aggregation across multiple entities (both physical and digital) [1]. In this regard, a blockchain-based architecture is used as a potential solution to fulfill the requirements in a plethora of use-cases. For example, Fig. 1 shows a trade event during transportation and logistics of goods. However, current blockchain solutions lack many striking features such as scalability, offline data accessibility, fee-less transactions, and quantum-immunity that are among the desirable features in many applications. To adequately address these limitations, IOTA [2] brings a transformation in the third generation of DLT. Following a scalable and quantum-immune approach, it securely accelerates tracking and tracing of events even in the offline mode, and consequently enhance provenance data construction to identify erroneous data, operational disruptions, counterfeit products, etc.