Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Data re-identification: Companies, Legal protections of data in the United States & Re-identification efforts

Data re-identification or de-anonymization is the practice of matching anonymous data (also known as de-identified data) with publicly available information, or auxiliary data, in order to discover the person to whom the data belongs. This is a concern because companies with privacy policies, health care providers, and financial institutions may release…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Data re-identification topic overview

The analysis highlights Companies, Legal protections of data in the United States and Re-identification efforts as prominent areas in the source structure around Data re-identification.

Related topics
43
Source areas
6
Connected nodes
49
Extracted relationships
17
Concept neighborhoods
26
Bridge connections
49

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Legal protections of data in the United States · 17 topics
Re-identification efforts · 11 topics
Overview · 7 topics
Concern and consequences · 3 topics
Remedies · 3 topics
Examples of de-anonymization · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Legal protections of data in the United States

Re-identification efforts

Concern and consequences

Remedies

Examples of de-anonymization

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Data re-identification connects Entity context

See recurring relationship patterns around Data re-identification before inspecting the individual extracted relationships.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

data information re-identification privacy anonymized health de-identification additional federal researchers may records medical identifiers location de-identified companies release available separately

Data re-identification relationships Subject–Predicate–Object triples

TTTA extracted 17 structured relationships around Data re-identification. Examples in this analysis include HealthData.gov → instance of → on free and publicly accessing platforms and name → instance of → GIC assured that the patient's privacy was not a concern since it had removed identifiers. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
HealthData.govinstance ofon free and publicly accessing platforms0.80text
PatientsLikeMeinstance ofon free and publicly accessing platforms0.80text
encouraged by government open data policiesinstance ofon free and publicly accessing platforms0.80text
data sharing initiatives spearheaded by the private sectorinstance ofon free and publicly accessing platforms0.80text
nameinstance ofGIC assured that the patient's privacy was not a concern since it had removed identifiers0.80text
addressesinstance ofGIC assured that the patient's privacy was not a concern since it had removed identifiers0.80text
social security numbersinstance ofGIC assured that the patient's privacy was not a concern since it had removed identifiers0.80text
zip codesinstance ofinformation0.80text
birth dateinstance ofinformation0.80text
sex remained untouchedinstance ofinformation0.80text
homeinstance ofLocation shows recurring visits to frequently attended places of everyday life0.80text
workplaceinstance ofLocation shows recurring visits to frequently attended places of everyday life0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Data re-identification bring nearby vocabulary together. In this analysis, examples include Information, Re-identification and Additional. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Data re-identification
    • Information
    • Re-identification
    • Additional
    • Health
    • Anonymized
    • Privacy
    • Kept
    • Separately
    • Ban
    • Release
    • De-identification
    • Location
  • data re-identification
    • Information
    • Re-identification
    • Additional
    • Ban
    • Health
    • Anonymized
    • Privacy
    • Kept
    • Separately
    • Risk
    • Release
    • De-identification
  • big data
    • Information
    • Re-identification
    • Health
    • Anonymized
    • Privacy
    • Ban
    • Release
    • De-identification
    • Location
    • Researchers
    • De-identified
    • Personal
  • personally identifiable information
    • Re-identification
    • Anonymized
    • Privacy
    • Federal
    • Health
    • Access
    • Kept
    • Separately
    • Parties
    • Private
    • Risk
    • Additional
  • medical information
    • Re-identification
    • Records
    • Anonymized
    • Public
    • Two
    • State
    • Privacy
    • Federal
    • Health
    • Access
    • Kept
    • Separately
  • open data
    • Information
    • Re-identification
    • Health
    • Anonymized
    • Privacy
    • Ban
    • Release
    • De-identification
    • Location
    • Researchers
    • De-identified
    • Personal
  • data sharing
    • Information
    • Re-identification
    • Health
    • Anonymized
    • Privacy
    • Ban
    • Release
    • De-identification
    • Location
    • Researchers
    • De-identified
    • Personal
  • data mining
    • Information
    • Re-identification
    • Health
    • Anonymized
    • Privacy
    • Ban
    • Release
    • De-identification
    • Location
    • Researchers
    • De-identified
    • Personal

Connections between topic areas Semantic bridges

For Data re-identification, one of the stronger structural bridges in this analysis connects Data re-identification with Legal protections of data in the United States. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Data re-identification — Legal protections of data in the United States · splits 32 ⟂ 18
Data re-identification — Re-identification efforts · splits 38 ⟂ 12
Data re-identification — Overview · splits 42 ⟂ 8
Data re-identification — Concern and consequences · splits 46 ⟂ 4
Data re-identification — Remedies · splits 46 ⟂ 4
Data re-identification — Examples of de-anonymization · splits 47 ⟂ 3

Map overview Semantic statistics

Data re-identification

Nodes50
Edges49
Triples17
Avg. degree1.96
Density0.04
Components1

Source & methodology

TTTA analyzes the structure around Data re-identification to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Legal protections of data in the United States & Re-identification efforts, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Data re-identification · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.