A clear way to understand how digital information forms, evolves, and leaves meaning behind.

Information Archaeology is built around a simple model:
Activities leave traces. Traces form layers. Layers reveal patterns.
Patterns help us reconstruct what happened, why it happened, and the environment that shaped it.

This page introduces the core frameworks that make that work possible.

Index


Activity → Trace → Environment → Time Model

This is the foundational logic of Information Archaeology.
It explains how digital material behaves and why it can be interpreted meaningfully.

Activity

Every digital artifact begins as a human action — writing, editing, exporting, renaming, “screenshotting”, collaborating.

Trace

Activities leave two categories of evidence:

  • Artifacts — intentional digital objects: documents, drafts, code, exports
  • Ecofacts — system-generated byproducts: autosaves, thumbnails, sync markers, metadata residues

Both are evidence. Both matter.

Environment

Systems shape traces just as strongly as humans do:

  • file systems
  • cloud sync behavior
  • app migrations
  • conversions
  • versioning rules
  • permissions
  • backup strategies

Environment determines what survives, what changes, and what gets lost.

Time

Digital material accumulates in layers:

  • versions
  • drafts
  • timestamp clusters
  • migrations
  • tool transitions
  • metadata drift
  • loss events

Time gives structure to the archive.


Artifacts, Ecofacts & Digital Material Culture

Digital information behaves like material culture:

Artifacts

Intentional objects created for communication or work.

Ecofacts

Unintentional byproducts created by systems, but shaped by human activity.

Ecofacts help reveal:

  • environment boundaries
  • workflow patterns
  • editing intensity
  • toolchains
  • instability or loss
  • drift and migration

Understanding both categories gives a complete picture of the digital past.


Digital Stratigraphy

Digital systems naturally produce layers, even when no one notices:

  • directory depth
  • version chains
  • branching and forks
  • timestamp deposits
  • platform migrations
  • duplicate clusters
  • system residue

These strata reveal:

  • sequences
  • periods of heavy activity
  • interruptions
  • loss
  • transitions
  • instability

Stratigraphy is the “map” of digital work.


Context Reconstruction

Meaning lives in relationships.

Context comes from:

  • provenance
  • co-location
  • relational metadata
  • timestamps
  • collaborators
  • tool signatures
  • surrounding artifacts and ecofacts
  • shadow traces (screenshots, previews, cache)

Reconstructing context helps us understand not just what happened, but how and why.


Boundaries, Loss & Digital Taphonomy

Digital environments lose information constantly:

  • overwritten versions
  • corrupted files
  • missing metadata
  • cloud rewrites
  • sync conflicts
  • orphaned thumbnails
  • mismatched timestamps

Loss isn’t a failure — it’s part of the system.
Frameworks in Information Archaeology treat loss as meaningful, not an obstacle.


Interpretation With Constraints

Interpretation in IA is:

  • evidence-first
  • provenance-bound
  • multi-perspectival
  • explicit about uncertainty
  • grounded in what is observable

This ensures reconstructions are:

  • defensible
  • transparent
  • repeatable
  • ethical
  • useful in legal, organizational, and analytical settings

Interpretation is not guesswork — it is disciplined reasoning within known boundaries.


The Three-Layer Structure of Analysis

IA organizes analysis into three layers:

A. Evidence Layer

Where raw traces live. This layer answers: “What is here?”

Includes analysis of:

  • stratigraphy
  • ecofacts
  • loss
  • metadata
  • boundaries
  • deposits

B. Structure Layer

Where evidence becomes organized meaning. This layer answers: “How did this happen?”

Includes:

  • decision sequences
  • environment modeling
  • drift analysis
  • provenance constraints

C. Insight Layer

Where interpretation takes shape. This layer answers: “What does this tell us about people, systems, and practice?”

Includes:

  • composition analysis
  • cultural inference
  • meaning reconstruction

How the Frameworks Fit Together

These frameworks aren’t separate ideas — they are a single system.

Traces become layers.
Layers become sequences.
Sequences reveal environment.
Environment enables interpretation.

This unified structure lets practitioners analyze digital material with the same clarity and rigor used in physical evidence fields, but adapted to the unique behavior of digital systems.


Put the framework to work

The next step is understanding how IA’s layers translate into concrete techniques for reconstructing context, meaning, and workflow.

Explore the Methodology

Download the Whitepaper