Research Data Alliance
E629515
The Research Data Alliance is a global, community-driven organization that develops and promotes practical solutions and standards to enable open sharing and interoperability of research data across disciplines, technologies, and countries.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Research Data Alliance canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6938816 — 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: Research Data Alliance Context triple: [Committee on Data of the International Science Council, collaboratesWith, Research Data Alliance]
-
A.
Research Bureau
The Research Bureau is an internal analytical and policy research department of the People's Bank of China that supports monetary and financial decision-making.
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B.
Community Science and Data Center
The Community Science and Data Center is a facility that provides data services, tools, and support to enable broad community access to astronomical observations and research.
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C.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
D.
Digital Research, Inc.
Digital Research, Inc. was a pioneering software company best known for creating the CP/M family of operating systems, which were widely used on early microcomputers before the rise of MS-DOS.
-
E.
Open Knowledge Network
Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
- 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: Research Data Alliance Target entity description: The Research Data Alliance is a global, community-driven organization that develops and promotes practical solutions and standards to enable open sharing and interoperability of research data across disciplines, technologies, and countries.
-
A.
Research Bureau
The Research Bureau is an internal analytical and policy research department of the People's Bank of China that supports monetary and financial decision-making.
-
B.
Community Science and Data Center
The Community Science and Data Center is a facility that provides data services, tools, and support to enable broad community access to astronomical observations and research.
-
C.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
D.
Digital Research, Inc.
Digital Research, Inc. was a pioneering software company best known for creating the CP/M family of operating systems, which were widely used on early microcomputers before the rise of MS-DOS.
-
E.
Open Knowledge Network
Open Knowledge Network is a collaborative initiative and platform that connects people, data, and tools to promote the creation, sharing, and use of open knowledge worldwide.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
community-driven initiative
ⓘ
international organization ⓘ research data organization ⓘ |
| abbreviation | RDA NERFINISHED ⓘ |
| aimsTo |
improve reproducibility of research
ⓘ
reduce barriers to data sharing ⓘ support cross-disciplinary research ⓘ |
| collaboratesWith |
data infrastructures worldwide
ⓘ
international research organizations ⓘ |
| focusesOn |
data interoperability
ⓘ
data sharing ⓘ open science ⓘ research data ⓘ |
| foundedInYear | 2013 ⓘ |
| governedBy |
council
ⓘ
secretariat ⓘ |
| hasActivity | plenary meetings ⓘ |
| hasLanguage | English ⓘ |
| hasMembershipModel |
individual membership
ⓘ
organizational membership ⓘ |
| hasOrganizationalModel | community-driven ⓘ |
| hasScope | global ⓘ |
| hasStakeholder |
data stewards
ⓘ
funding agencies ⓘ infrastructure providers ⓘ research institutions ⓘ researchers ⓘ |
| hasStructure |
interest groups
ⓘ
working groups ⓘ |
| hasWebsite | https://www.rd-alliance.org/ ⓘ |
| headquartersLocation | virtual organization ⓘ |
| name | Research Data Alliance NERFINISHED ⓘ |
| operatesAcross |
countries
ⓘ
disciplines ⓘ technologies ⓘ |
| produces |
best practice guidelines
ⓘ
recommendations ⓘ technical specifications ⓘ |
| purpose |
develop data standards and recommendations
ⓘ
develop practical solutions for research data management ⓘ enable open sharing of research data ⓘ promote interoperability of research data ⓘ |
| relatedTo |
data repositories
ⓘ
data standards bodies ⓘ research data infrastructures ⓘ |
| supports |
FAIR data principles
ⓘ
open data policies ⓘ |
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: Research Data Alliance Description of subject: The Research Data Alliance is a global, community-driven organization that develops and promotes practical solutions and standards to enable open sharing and interoperability of research data across disciplines, technologies, and countries.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
Committee on Data of the International Science Council
→
collaboratesWith
→
Research Data Alliance
ⓘ