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Decentralized Identifiers (DIDs) as Barcodes for Secure, Trusted Digital Communication

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Copyright © 2025 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License

Abstract


The invention of the barcode transformed retail and supply chains by providing a universal, machine-readable identifier that ensured accuracy, efficiency, and interoperability across diverse systems. Similarly, Decentralized Identifiers (DIDs) represent a foundational innovation for digital ecosystems: a universal, cryptographically verifiable identifier that enables trusted communication across domains and platforms. This paper explores the analogy between DIDs and barcodes, examining how both enable end-to-end interoperability, reduce friction, and unlock new models of value creation.

Copyright © 2025 Michael Herman (Bindloss, Alberta, Canada) – Creative Commons Attribution-ShareAlike 4.0 International Public License


1. Introduction

In 1974, a pack of Wrigley’s gum was scanned at a Marsh supermarket in Ohio, marking the first use of the Universal Product Code (UPC). That moment marked the beginning of a transformation in retail, logistics, and global commerce. By providing a standardized identifier, barcodes automated inventory management, accelerated checkout, reduced human error, and laid the foundation for today’s global supply chains.

Digital ecosystems in the 21st century face an equivalent problem: how to create universal, secure, and machine-readable identifiers that work across organizations, platforms, and jurisdictions. While domain names, IP addresses, and UUIDs serve as identifiers, none are self-sovereign, portable, and verifiable across trust boundaries. Decentralized Identifiers (DIDs) aim to solve this.

This paper argues that DIDs are the barcodes of digital trust: a universal, machine-readable system for identifying entities in secure communications, enabling a new end-to-end supply chain of digital trust.


2. The Barcode Revolution

2.1 Before Barcodes

  • Manual price tags and clerical data entry.
  • Inventory tracking prone to human error.
  • Inefficient supply chains with frequent stockouts and overstocking.
  • Lack of standardization across retailers and manufacturers.

2.2 With Barcodes

  • Universal identifiers: UPC and EAN standards.
  • Machine readability: fast, automated scanning reduced labor costs and errors.
  • End-to-end traceability: from manufacturer → distributor → retailer → checkout.
  • Scalability: millions of products, billions of transactions.

Impact: Barcodes enabled just-in-time inventory, global retail expansion, and precise supply chain optimization [Brown, Inventing the Barcode, 2010]. The key insight: a universal, interoperable identifier unlocks systemic efficiencies across the value chain.


3. DIDs: A Digital Barcode for Trust

3.1 What are DIDs?

Decentralized Identifiers (DIDs) are globally unique identifiers that are self-sovereign, verifiable, and resolvable without reliance on centralized registries. Defined by the W3C, DIDs point to DID Documents, which contain public keys, service endpoints, and metadata necessary for establishing secure communication.

3.2 Core Features

  • Universality: A DID can represent a person, organization, device, or digital asset.
  • Machine readability: DIDs are structured and resolvable by software.
  • Cryptographic trust: Integrity and authenticity are verifiable through signatures and key material.
  • Decentralization: No single issuing authority required; anyone can create a DID.
  • Extensibility: Support for multiple DID methods (blockchain, ledger, peer-to-peer).

3.3 Why It Matters

Just as barcodes freed retail from manual, siloed processes, DIDs free digital ecosystems from centralized identity silos (e.g., social logins, proprietary identity providers).


4. Mapping the Analogy: Barcodes vs. DIDs

Barcode PropertyDID EquivalentImplications
Universal product identifierUniversal decentralized identifierEnables global recognition of digital actors
Machine-readableMachine-resolvable DID DocumentAutomated verification by software agents
Standardization (UPC/EAN)W3C DID Core standardCross-platform interoperability
Scannable at every point in supply chainResolvable across trust domainsEnd-to-end verifiable identity
Facilitates inventory managementFacilitates trust managementEnsures secure digital transactions
Enables retail efficiencyEnables digital trust ecosystemsReduces cost, friction, and fraud

5. Benefits of the Barcode Analogy

  1. End-to-End Traceability
    • Barcodes track goods from origin to checkout.
    • DIDs enable trust from authentication through data exchange to audit.
  2. Automation and Efficiency
    • Barcodes eliminated manual entry; DIDs eliminate manual trust establishment.
  3. Interoperability
    • Any barcode scanner can read a UPC; any DID-compliant system can resolve a DID.
  4. Scalability
    • Barcodes scaled to billions of products; DIDs can scale to billions of devices, people, and services.
  5. Systemic Transformation
    • Barcodes reshaped retail; DIDs could reshape finance, healthcare, IoT, and governance.

6. Limits of the Analogy

  • Centralization vs. Decentralization: Barcodes are managed by centralized registries (GS1), whereas DIDs are inherently decentralized.
  • Trust Layer: Barcodes encode only identity (the product number), not integrity or authenticity. DIDs add cryptographic verifiability.
  • Complexity: Scanning a barcode is simpler than resolving a DID, which requires cryptographic operations and network lookups.
  • Adoption: Barcodes achieved rapid, global retail adoption; DIDs remain in early deployment phases.

7. Strategic Implications

7.1 Identity and Access

DIDs could serve as the UPC of digital identity, enabling universal, interoperable identity across organizations.

7.2 Supply Chain and IoT

DIDs can extend barcodes’ logic into digital-physical convergence, providing secure digital twins for physical assets.

7.3 Finance and Governance

DIDs provide the foundational layer of trust for verifiable credentials, smart contracts, and cross-border compliance.

7.4 The “Barcode Moment”

Just as retail only transformed once barcodes were widely adopted, the digital trust economy will require a tipping point of DID adoption to realize systemic benefits.


8. Conclusion

The barcode transformed retail by enabling universal, machine-readable product identification across the supply chain. DIDs can do the same for digital ecosystems by enabling universal, machine-readable, and verifiable identity.

If DIDs achieve broad adoption, they could serve as the universal identifiers of digital trust, enabling secure, scalable, and interoperable communication across the global digital economy — much as barcodes enabled the rise of global retail supply chains.


References


Inspired by the book Reshuffle by Sangeet Paul Choudary.

Produced as the outcome of a conversation between Michael Herman and ChatGPT. October 1, 2025.

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Tokenize Every Little Thing (ELT)

[Since first writing this article in January 2018, I’ve concluded that Ethereum is not capable of being a platform for Tokenizing Every Little Thing. Ethereum is a one-trick pony x 1500 when it comes to creating large-scale decentralized applications (i.e. Ethereum/Solidity smart contracts are best for creating single, simple entities like alt-coins). Checkout slide 56 of this presentation: NEO Blockchain Vancouver 20180315 Meetup. The NEO Blockchain and NEO Smart Economy is the best available 3rd generation distributed application platform on the planet and improving every day. Michael Herman, March 17, 2018]

[Also checkout the webcast The NEO Smart Economy, Smart Processes, and Smart Data. Michael Herman, April 9, 2018]


 

Just over one year ago, I introduced the concept of graphitization and talked about #Graphitization of the Enterprise. I opened the article with the challenge:

Move beyond digitalization of the enterprise to graphitization of the enterprise.

For 2018 and beyond, the challenge is simpler but more difficult:

Tokenize Every Little Thing (ELT)

To provide more context, let me first quote from the introductory paragraphs of the #Graphitization article.

Here’s a great diagram that explains this concept [graphitization]. (click on the diagram to enlarge it)

graphitization-new-world-of-it
Figure 1. The New Model of IT

Graphitization of not only all of your corporate information assets across all of your constituencies and stakeholders – at the data, application entity, and business object level – but also the graphitization of all of the interconnections between every business process, application system, infrastructure component, cloud service, vendor/service provider, and business role that uses, manages, or stores corporate information (Crossing the EA Chasm: Automating Enterprise Architecture Modeling #2).

Use graphitization to make your existing corporate information more available, more usable, and more informative. Graphitization enables you to “Keep Calm and Have IT Your Way“.

What is #Graphitization?

#Graphitization is a data science and enterprise architecture-inspired framework and process model for modeling, ingesting, organizing, analyzing, and visualizing any domain of endeavor by using graphs – networks of connected objects and relationships with each object and relationship annotated with additional descriptive information (metadata).

Why #Tokenization?

Given the burgeoning preoccupation of the world’s business, finance, government, and technology sectors with blockchain technologies, cryptocurrencies, and token-this and token-that, the buzzword for 2018 will be #Tokenization …the creation of tokens (multiple versions of tokens) to represent every thing on the planet …Every Little Thing (ELT).

While individuals, startups and larger organizations are trying to dream up the next big, one-off, token or crytocurrency, why not just admit that, “in the end”, everything will be represented by a token?

Why try to knock these off one at a time (e.g. Bitcoins, Ethers, altcoins, CryptoKitties, letters of credit, auctions, escrow agreements, electronic health records (EHR), electronic medical records (EMR), etc.) when the ultimate goal to to create a universal interconnected graph of ELT (Every Little Thing) in the universe?

Why #graphitize the enterprise when you can #tokenize the universe?

What is #Tokenization?

Let’s get a little computer-sciency for just a minute. A common task to to take an input stream (a string of characters, a stream of data, a data file or database table), analysis it, and convert it into a collection or sequence of higher-level tokens for further analysis (a process that can be applied recursively). Here’s an explanation from Wikipedia

In computer science, lexical analysis, lexing or tokenization is the process of converting a sequence of characters (such as in a computer program or web page) into a sequence of tokens (strings with an assigned and thus identified meaning). A program that performs lexical analysis may be termed a lexer, tokenizer, or scanner… [https://en.wikipedia.org/wiki/Lexical_analysis]

…and later in the same Wikipedia article…

Tokenization

Tokenization is the process of demarcating and possibly classifying sections of a string of input characters. The resulting tokens are then passed on to some other form of processing. [https://en.wikipedia.org/wiki/Lexical_analysis#Tokenization]

Coming up for air… Why not represent ELT that happens in the universe as a stream of blockchain transactions?

  • the events in your life?
  • everything that occurs during a Presidential election?
  • the 24-hour cycle of one day changing into the next?
  • the activity-by-activity and task-by-task execution of a business process?
  • a stream of events from your Internet-of-Things (IoT) enabled car, toaster or refrigerator?

Jim Gray and TerraServer

In one of his several presentations on Scalable Computing (circa 1999), Jim Gray (relational database pioneer and Turing Award winner) describes the TerraServer project in the following way:

[Users navigate] an ‘almost seamless’ image of earth.

SkyServer was a similar project quarterbacked by Gray:

TerraServer allowed access to newly-available satellite imagery with resolution of 1.5 meters/pixel. SkyServer, a collaboration with Alexander Szalay and his colleagues at Johns Hopkins, allowed access to astronomical data from the Sloan Digital Sky Survey. SkyServer led to additional work with astronomical data, … [https://amturing.acm.org/award_winners/gray_3649936.cfm]

Tokenize Every Little Thing

With the advent of blockchain technologies (in particular, the Ethereum extensible blockchain platform), why can’t we embark on a grander mission to tokenize Every Little Thing? …and including all token-pair relationships (TPRs).

What will it take?

What needs to change in the Ethereum blockchain platform? Will Ethereum be able to scale to support modeling, ingesting, organizing, analyzing, and visualizing of Every Little Thing (ELT)?

On your mark, get set, …

Best regards,
Michael Herman (Toronto)

mwherman@parallelspace.net

Other Important References

  • Gordon Bell, MyLifeBits MSR Project (early 2000’s). I remember Jim Gray telling this story but I had trouble finding a proper reference because I thought it was Gray’s story instead of Bell’s.  I now know better but I’ve already finished the above article. A Wikipedia MyLifeBits reference can be found here. YouTube videos can be found here, here, and others over here. Channel 9 videos: Part 1 and Part 2. Computerworld article (2008). Business Inside article (2016).
  • Gordon Bell’s MSR web page.

 

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Filed under Architecture Reference Models, blockchain, Business Value, Data Science, Enterprise Architecture, Ethereum, Every Little Thing, graph database, Graphitization, How do we think, Nethereum