A computable framework for accountable data assets

Synoposis

This article prescribes a systematic approach to manipulate data content in a unifying data abstraction framework. It integrates multiple fields of technical knowledge, including the following:

1. A computational framework that demonstrates algebraic closure properties (sound and complete) in three classes of data assets: information content, compilable source code, and executable binary files.
2. A software architecture that maps industry-standard tools to the above-mentioned three data asset classes, information content, source code, and executable binaries.
3. A web-based workflow that ensures only authenticated participants and machine-executable contracts may conduct changes to a cryptographically verified ledger for any ownership transactions.

This computational framework can be thought of as an highly automated and mechanized accounting system for managing data assets on the web. In other words, this article will define the data capture and data verification procedure as an algebraically-formulated accounting process, so that it can leverage the mathematical rigor to reason about data integrity. Moreover, this article prescribes an implementation roadmap to construct an open-source Enterprise Resource Planning (ERP) system utilizing decentralized security system, so that small and large organizations can utilize the same data processing infrastructure to conduct business. This will significantly reduce the cost of business transactions, therefore enabling more people to participate in the supply chain of data, products, and service on the Internet.

Background

Since the appearance of World Wide Web in 1995, world affairs have been transformed by ever-faster electronic data transaction activities. Products and services have been exposed to web-based applications and 4G/5G connected devices, so that anyone with access to these rather egalitarian communication/computation devices have been able to participate in the global supply chain. This global supply chain can be considered as an inter-connected web of data transaction activities. Up to the point of this writing, a unifying , This revolutionary software artifact presented many business opportunities and inspired many new technologies, however methods and tools to ensure their system integrity have not yet caught up with these changes.

1. Complex software applications and business processes that have been serving a large portion of the society are searching for systematic ways to migrate to modern technical infrastructures.

these algebraic formulation of accounting systems has 

According to Rambaud and Pérez, an algebraically-defined accounting (data capture and verification) practice may systematically automate the decision procedures for the following activities:

1. Decide how to classify the data collected and send the collected data to relevant data processing workflows.
2. Whether a given data set is considered admissible or not. This is judged in terms of its data formats and legal value ranges.
3. Whether a transaction process is allowable, or not. This include whether a given transaction is feasible, in relevant operational/business logics.

Computable Data Types

It is been defined axiomatically that all computable data types are Partially-ordered sets.