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In graph Frontier
Computer ScienceData ScienceEstablished

Database

In computing, a database is an organized collection of data or a type of data store based on the use of a database management system (DBMS), the software that interacts with end users, applications, and the database itself to capture and analyze the data.

DatabaseDataRelational modelTransactionInformation retrievalInformationBinary numeral systemComputational social scienceDigital humanities

At a glance

Type
information
Disciplines 2
Computer ScienceData Science
Mental models 0
—
Role in the graph
Cross-disciplinary bridge
reaches 3 discipline lenses

Key signals

Cross-disciplinary reach
Disciplines
2
  • Computer Science
  • Data Science
Evidence & development

Dependencies

What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.

System context

Datais part ofDatabaseEstablished

Open Data →

data is part of database.

Mechanism: A database is an organised store of data: it structures records so they can be searched, updated and kept consistent at scale.

Sources:
Relational modelis part ofDatabaseEstablished

Open Relational model →

The relational model structures most databases.

Mechanism: Data is stored in tables whose rows are linked by shared key values, so related facts can be joined on demand.

Transactionis part ofDatabaseEstablished

Open Transaction →

Transactions keep a database consistent.

Mechanism: Grouped operations either all commit or all roll back, so the data never rests in a half-finished state.

Structural role & consequence

Interpreted from the current atlas graph — what the connections mean, not just how many there are.

  • 25% of its relationships cross field boundaries, reaching 3 other disciplines — unusual in a discipline where most concepts stay within their field.

    structural · Structural graph analysis — not a claim of importance, causation or history.

  • Currently dark in the atlas: no key date stored · 4 of 4 of its relations lack claim-level evidence.

    atlas representation · Describes the current Thinking OS representation, not the state of the world.

  • Structural neighbourhood: 4 → 17 → 37 concepts reachable within 3 hops.

    structural · Structural reach — being reachable is not the same as being understood.

25%

cross-field
3 within-field, 1 cross-field

0 of 4 relations carry evidence · concept has a verified source

Strengths & constraints

Constraints

  • Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
  • No dated history stored — the atlas records no key date for this concept. atlas representation

Conditions

  • Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural

Seen through each discipline

How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.

Computer Science

Through this lens it connects to Data, Relational model and Transaction.

Database through the Computer Science lens →

Data Science

Through this lens it connects to Data.

Database through the Data Science lens →

Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.

This idea also appears in…

The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”

Concepts

The scientific picture
  • Connects 4 other ideas across 2 disciplines.
  • A cross-disciplinary bridge — its connections reach into 3 other fields.
  • Most of its connections are of the “Kind & structure” kind.

Derived from the graph’s real structure — observations, not a score.

Sources