8F/ DiD Science an analysis of global DiD Data

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DiD Science an analysis of global DiD Data


Session Convener: Zaida Rivai

Notes-taker(s): Markus Sabadello

Tags / links to resources / technology discussed, related to this session:

DIDs, DID methods, data science

Slides can be found here: https://drive.google.com/file/d/1Giob9K3AtLGJ8PajMrqoZr4RUhPLpcSE/view?usp=sharing


Discussion notes, key understandings, outstanding questions, observations, and, if appropriate to this discussion: action items, next steps:

Presentation of global DID data:

  • Pie charts (e.g. distribution of verification methods within a DID method)
  • Time plots (e.g. popularity of a DID method over time)
  • Error rate in DID documents
  • Duplicate key detection


This is only possible for DID methods where all DIDs are globally visible (e.g. blockchain-based)

Discussion if statistics are also possible for resolvers (e.g. what DID methods are commonly being resolved). Answer: Statistics could be generated for individual DID resolvers (e.g. https://dev.uniresolver.io/), but that would only be a local (not global) view.

Why are there so many errors in DID documents, how do communities respond to that?


Suggestions:

  • Could differentiate based on testnets and mainnets
  • Could create a timeplot of errors over time
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