Dimensions (research database)
E407021
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Dimensions (research database) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4021341 — 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: Dimensions (research database) Context triple: [Google Scholar, competesWith, Dimensions (research database)]
-
A.
Dataverse
Dataverse is Microsoft's cloud-based data platform that securely stores, manages, and structures business data for use across Power Platform applications and services.
-
B.
Modified National Institute of Standards and Technology database
The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
-
C.
Harvard Dataverse
Harvard Dataverse is a research data repository platform that enables scholars to share, publish, and preserve datasets, primarily used by the academic community.
-
D.
NIST Special Database 3
NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition and machine learning.
-
E.
Data-Driven Discovery Initiative
The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
- 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: Dimensions (research database) Target entity description: Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
-
A.
Dataverse
Dataverse is Microsoft's cloud-based data platform that securely stores, manages, and structures business data for use across Power Platform applications and services.
-
B.
Modified National Institute of Standards and Technology database
The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
-
C.
Harvard Dataverse
Harvard Dataverse is a research data repository platform that enables scholars to share, publish, and preserve datasets, primarily used by the academic community.
-
D.
NIST Special Database 3
NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition and machine learning.
-
E.
Data-Driven Discovery Initiative
The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
analytics platform
ⓘ
research database ⓘ scholarly database ⓘ |
| accessModel |
limited free access
ⓘ
subscription-based access ⓘ |
| covers |
citation data
ⓘ
clinical trial records ⓘ patent records ⓘ research grants ⓘ research organizations ⓘ researchers ⓘ scholarly publications ⓘ |
| enables |
identification of collaboration networks
ⓘ
mapping of research landscapes ⓘ tracking of research impact ⓘ trend analysis in research topics ⓘ |
| focusesOn | full research lifecycle ⓘ |
| hasComponent |
citations database
ⓘ
clinical trials database ⓘ grants database ⓘ patents database ⓘ publications database ⓘ |
| integrates |
clinical research data
ⓘ
funding information ⓘ intellectual property data ⓘ multiple research outputs ⓘ |
| language | English ⓘ |
| maintainedBy | Digital Science ⓘ |
| provides |
altmetrics indicators
ⓘ
analytics dashboards ⓘ application programming interface ⓘ citation metrics ⓘ field-normalized metrics ⓘ web-based user interface ⓘ |
| supports |
benchmarking of institutions
ⓘ
benchmarking of researchers ⓘ bibliometric analysis ⓘ portfolio analysis ⓘ research analytics ⓘ research discovery ⓘ research evaluation ⓘ research funding analysis ⓘ |
| usedBy |
bibliometricians
ⓘ
funding agencies ⓘ policy makers ⓘ publishers ⓘ research administrators ⓘ research institutions ⓘ universities ⓘ |
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: Dimensions (research database) Description of subject: Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.