Use case · Research · 2 min read

Mapping a field documented everywhere

A research team's field is documented across thousands of sources — papers, public records, archives, the open record. Djeed structures the same input into queryable records with provenance intact, so the team analyses instead of collecting.

Where the time goes

Most field-mapping projects lose the first six months to collection — pulling references, dedup, normalisation, and the constant cross-checking that comes with using the open record at all. By the time analysis starts, the picture is already aging.

Djeed reads the field's open record and restructures it into typed records on a schema the team controls. Provenance — the source URL, the capture timestamp, the content hash — travels with every record from the first moment.

What the team gets back

A queryable corpus of the field, structured and source-cited, ready to analyse. Re-runs are cheap, the schema is the team's, and the picture stays current as new records appear.

  • · Typed records on a schema the research team defines
  • · Provenance on every record — source URL, capture time, content hash
  • · Deduplicated and resolved across thousands of sources
  • · Continuous refresh as new records appear in the open record

How it works

  1. 1

    Define the field

    The team specifies the scope — the entities, events, and relationships that count.

  2. 2

    Djeed structures the corpus

    The open record is read continuously, restructured into typed records, deduplicated, and source-cited.

  3. 3

    The team analyses

    A queryable corpus, drill-through to source, and a schema the team can extend as the questions evolve.

What you connect

  • · Public archives — papers, reports, and bulletins
  • · Open repositories — records and metadata
  • · Universal news — global and regional outlets with article-level citation
  • · Public social media — named accounts with a traceable source

Common questions

Who owns the schema?

The research team. Djeed structures the input against the schema the team defines and extends it as the questions evolve. The corpus stays usable across schema versions.

Can private observations live alongside the corpus?

Yes. The team's own records and notes live in the workspace next to the open-record corpus, queryable through the same schema. They stay private; they are not mixed back into anything shared.