Centre for Collaboration with Data Networks
E535538
The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Centre for Collaboration with Data Infrastructure Networks | 1 |
| Centre for Collaboration with Data Networks canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5652018 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Data Networks Context triple: [Norwegian Institute of Public Health, hasPart, Centre for Collaboration with Data Networks]
-
A.
Blavatnik Interdisciplinary Cyber Research Center
The Blavatnik Interdisciplinary Cyber Research Center is a leading academic hub at Tel Aviv University dedicated to advancing research, policy, and innovation in cybersecurity and related digital domains.
-
B.
Centre for Information and Network Security
The Centre for Information and Network Security is a specialized research and academic unit focused on cybersecurity, information assurance, and secure networking technologies.
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C.
Centre for Cyber Security
The Centre for Cyber Security is a research and innovation hub at the University of Wolverhampton focused on advancing knowledge, technologies, and practices in digital security and cyber resilience.
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D.
Global Data-processing Centres
Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
-
E.
NDCC
NDCC is the acronym for Russia’s National Defence Management Center, a central military command and control hub overseeing the country’s defense operations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Centre for Collaboration with Data Networks Target entity description: The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
-
A.
Blavatnik Interdisciplinary Cyber Research Center
The Blavatnik Interdisciplinary Cyber Research Center is a leading academic hub at Tel Aviv University dedicated to advancing research, policy, and innovation in cybersecurity and related digital domains.
-
B.
Centre for Information and Network Security
The Centre for Information and Network Security is a specialized research and academic unit focused on cybersecurity, information assurance, and secure networking technologies.
-
C.
Centre for Cyber Security
The Centre for Cyber Security is a research and innovation hub at the University of Wolverhampton focused on advancing knowledge, technologies, and practices in digital security and cyber resilience.
-
D.
Global Data-processing Centres
Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
-
E.
NDCC
NDCC is the acronym for Russia’s National Defence Management Center, a central military command and control hub overseeing the country’s defense operations.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
public health unit
ⓘ
research centre ⓘ |
| affiliation | Norwegian Institute of Public Health NERFINISHED ⓘ |
| aimsTo |
enhance quality of health data for research
ⓘ
enhance timeliness of health surveillance data ⓘ promote secure use of health data networks ⓘ |
| country | Norway ⓘ |
| field |
epidemiology
ⓘ
health data science ⓘ health informatics ⓘ public health ⓘ |
| focusesOn |
advancing use of data networks for public health decision-making
ⓘ
advancing use of data networks for public health research ⓘ advancing use of data networks for public health surveillance ⓘ coordination of data networks for public health ⓘ |
| goal |
facilitate public health research using data networks
ⓘ
improve public health surveillance ⓘ support evidence-based public health decision-making ⓘ |
| languageOfWork |
English
ⓘ
Norwegian ⓘ |
| locationCountry | Norway NERFINISHED ⓘ |
| partOf | Norwegian Institute of Public Health NERFINISHED ⓘ |
| responsibleFor | coordination of data network initiatives within the Norwegian Institute of Public Health ⓘ |
| sector | public sector ⓘ |
| topic |
data networks for infectious disease surveillance
ⓘ
data networks for non-communicable disease surveillance ⓘ data-driven public health policy ⓘ real-time health data monitoring ⓘ |
| typeOfOrganization | non-profit governmental research unit ⓘ |
| uses |
digital health data infrastructure
ⓘ
health data networks ⓘ |
| worksOn |
data sharing frameworks for health data
ⓘ
interoperability of health data systems ⓘ linkage of health registries and data sources ⓘ |
| worksWith |
academic research institutions
ⓘ
healthcare providers ⓘ public health authorities in Norway ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Centre for Collaboration with Data Networks Description of subject: The Centre for Collaboration with Data Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing the use of data networks for public health research, surveillance, and decision-making.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Centre for Collaboration with Data Infrastructure Networks