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GISAID: History & Science

GISAID (/ˈɡɪseɪd/), the Global Initiative on Sharing All Influenza Data, previously the Global Initiative on Sharing Avian Influenza Data, is a global science initiative established in 2008 to provide access to genomic data of influenza viruses. The database was expanded to include the coronavirus responsible for the COVID-19 pandemic, as well as other…

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GISAID topic overview

The analysis highlights History and Science as prominent areas in the source structure around GISAID.

Related topics
60
Source areas
4
Connected nodes
64
Extracted relationships
152
Concept neighborhoods
23
Bridge connections
64

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.

History · 33 topics
Access and intellectual property · 13 topics
Governance · 7 topics
Overview · 7 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Headquarters
Munich, Germany
Formation
December 19, 2006; 19 years ago (2006-12-19)
Key people
Peter Bogner (president) · Jörg Paura and Christoph Wetzler (executive board members) · Ron Fouchier (co-chair, Scientific Advisory Council)
Method
Donations and grants
Purpose
Global health, research
Type
Nonprofit organization

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

History

Governance

Access and intellectual property

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 GISAID connects Entity context

The extracted context around GISAID shows recurring relationship patterns in the source. For example, GISAID → All, Although, Animal Influenza, Another, At, August, Australian, Avian, Beginning, Bogner, Cambia, Capua, Capua's, Countries, Cox, Creative Commons, Disease Control's, Expertise, German, GISAID's Scientific Advisory Council Another extracted example is GISAID → Agriculture, Animal Health, Avian, By, Chinese Center, Consumer Protection, Disease Control, Federal Institute, Federal Republic, Food, Freunde, Friedrich Loeffler Institute, Friends, German, Germany, Germany's Federal Ministry, Hanoi, In, In April, International Ministerial Conference. Use these groups to spot repeated connection types before inspecting the individual relationships.

GISAID

Top relations

related to Origin · 49
GISAID → All, Although, Animal Influenza, Another, At, August, Australian, Avian, Beginning, Bogner, Cambia, Capua, Capua's, Countries, Cox, Creative Commons, Disease Control's, Expertise, German, GISAID's Scientific Advisory Council
related to 2009 onwards · 30
GISAID → Agriculture, Animal Health, Avian, By, Chinese Center, Consumer Protection, Disease Control, Federal Institute, Federal Republic, Food, Freunde, Friedrich Loeffler Institute, Friends, German, Germany, Germany's Federal Ministry, Hanoi, In, In April, International Ministerial Conference
related to Access and intellectual property · 22
GISAID → Africa, As, Database Access Agreement, EMBL, EpiFlu, Europe, GenBank, GISAID's, GISAID's Data Access Agreement, However, Human Genome Project, In, North America, Scientific American, The, The Lancet, These Terms, They, Unlike, Use
related to Governance · 20
GISAID → Associations, Bogner, European Commission, Friends, German, GISAID's, IFPMA, In, In June, Influenza, International Federation, Peter Bogner, Pharmaceutical Manufacturers, Rockefeller Foundation, Scientific, Scientific Advisory Council, The, The Telegraph, Vanity Fair, WHO Collaborating Centres
related to Database for SARS-CoV-2 genomes · 17
GISAID → April, Botswana, By, Communicable Diseases, COVID-19, December, GISAID's SARS-CoV-2, Hong Kong, In January, January, National Institute, Only, SARS-CoV-2, SARS-CoV-2 Omicron, South Africa, Throughout, When
Key people · 3
GISAID → Jörg Paura and Christoph Wetzler (executive board members), Peter Bogner (president), Ron Fouchier (co-chair, Scientific Advisory Council)
Formation · 1
GISAID → December 19, 2006; 19 years ago (2006-12-19)
Headquarters · 1
GISAID → Munich, Germany
Method · 1
GISAID → Donations and grants
Purpose · 1
GISAID → Global health, research

Important terminology

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

Important terminology

data database access influenza sars-cov-2 gisaid's covid-19 science health sharing 2023 sequences bogner scientists avian also pandemic scientific global public

GISAID relationships Subject–Predicate–Object triples

TTTA extracted 152 structured relationships around GISAID. Examples in this analysis include GISAID → Formation → December 19, 2006; 19 years ago (2006-12-19) and GISAID → Headquarters → Munich, Germany. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
GISAIDFormationDecember 19, 2006; 19 years ago (2006-12-19)1.00infobox
GISAIDHeadquartersMunich, Germany1.00infobox
GISAIDKey peoplePeter Bogner (president)1.00infobox
GISAIDKey peopleJörg Paura and Christoph Wetzler (executive board members)1.00infobox
GISAIDKey peopleRon Fouchier (co-chair, Scientific Advisory Council)1.00infobox
GISAIDMethodDonations and grants1.00infobox
GISAIDPurposeGlobal health, research1.00infobox
GISAIDTypeNonprofit organization1.00infobox
GISAIDWebsitehttps://gisaid.org1.00infobox
GISAIDis aobstacle to consolidation of control over the field0.90text
GenBankinstance ofUnlike public-domain databases0.80text
EMBLinstance ofUnlike public-domain databases0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around GISAID bring nearby vocabulary together. In this analysis, examples include Data, Database and Sars-cov-2. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • GISAID
    • Data
    • Database
    • Sars-cov-2
    • Access
    • Bogner
    • Influenza
    • Health
    • Agreement
    • Covid-19
    • Sharing
    • Genome
    • Initiative
  • gisaid
    • Data
    • Database
    • Sars-cov-2
    • Access
    • Bogner
    • Influenza
    • Health
    • Agreement
    • Covid-19
    • Sharing
    • Genome
    • Initiative
  • global influenza surveillance and response system
    • Initiative
    • Sharing
    • Influenza
    • Sequence
    • Agreement
    • Public
    • Scientific
    • Science
    • Genome
    • Organization
    • Pandemic
    • Health
  • registry of research data repositories (re3data)
    • Sharing
    • Access
    • Gisaid
    • Influenza
    • Open
    • Database
    • Agreement
    • Initiative
    • Research
    • Avian
    • Sequence
    • Scientists
  • access and intellectual property
    • Data
    • Scientists
    • Gisaid's
    • Sharing
    • Gisaid
    • Research
    • Open
    • Agreement
    • Researchers
    • Database
    • Science
    • Influenza
  • influenza
    • Sharing
    • Initiative
    • Sequence
    • Agreement
    • Public
    • Scientific
    • Genome
    • Organization
    • Pandemic
    • Researchers
    • Bogner
    • Health
  • oie/fao network of expertise on animal influenza
    • Sharing
    • Initiative
    • Sequence
    • Agreement
    • Public
    • Scientific
    • Genome
    • Organization
    • Pandemic
    • Researchers
    • Bogner
    • Health
  • peter bogner
    • Scientific
    • Reported
    • Research
    • Gisaid's
    • Public
    • Gisaid
    • Influenza
    • Health
    • Sars-cov-2
    • New
    • Genome
    • Global

Connections between topic areas Semantic bridges

For GISAID, one of the stronger structural bridges in this analysis connects GISAID with History. 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
GISAID — History · splits 31 ⟂ 34
GISAID — Access and intellectual property · splits 51 ⟂ 14
GISAID — Overview · splits 57 ⟂ 8
GISAID — Governance · splits 57 ⟂ 8

Map overview Semantic statistics

GISAID

Nodes65
Edges64
Triples152
Avg. degree1.97
Density0.030769
Components1

Source & methodology

TTTA analyzes the structure around GISAID to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — GISAID · EN edition · Analysis: TopicsToTalkAbout

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