Data Quality Working Group
E411092
The Data Quality Working Group is a specialist body within the hydrographic community that develops and maintains standards, guidelines, and best practices for assessing and communicating the quality of hydrographic and marine geospatial data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Data Quality Working Group canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4078363 — 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: Data Quality Working Group Context triple: [Hydrographic Services and Standards Committee, hasWorkingGroup, Data Quality Working Group]
-
A.
Data Quality Services
Data Quality Services is a SQL Server component that provides tools for defining, managing, and improving the quality and consistency of data through knowledge-based cleansing and matching.
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B.
Working Group on Evaluations and Compliance
The Working Group on Evaluations and Compliance is a specialized body within the Financial Action Task Force responsible for assessing countries’ adherence to global anti–money laundering and counter-terrorist financing standards.
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C.
Policy and Procedures Working Group
The Policy and Procedures Working Group is a specialized body within the Egmont Group responsible for developing, reviewing, and harmonizing the organization’s internal policies, standards, and operational guidelines for financial intelligence units.
-
D.
Joint Working Group
The Joint Working Group is an ecumenical body that fosters dialogue and cooperation between the Roman Catholic Church and the World Council of Churches.
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E.
Technical Assistance and Training Working Group
The Technical Assistance and Training Working Group is a specialized body within the Egmont Group that develops and coordinates capacity-building and training initiatives to strengthen financial intelligence units’ effectiveness in combating money laundering and terrorist financing.
- 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: Data Quality Working Group Target entity description: The Data Quality Working Group is a specialist body within the hydrographic community that develops and maintains standards, guidelines, and best practices for assessing and communicating the quality of hydrographic and marine geospatial data.
-
A.
Data Quality Services
Data Quality Services is a SQL Server component that provides tools for defining, managing, and improving the quality and consistency of data through knowledge-based cleansing and matching.
-
B.
Working Group on Evaluations and Compliance
The Working Group on Evaluations and Compliance is a specialized body within the Financial Action Task Force responsible for assessing countries’ adherence to global anti–money laundering and counter-terrorist financing standards.
-
C.
Policy and Procedures Working Group
The Policy and Procedures Working Group is a specialized body within the Egmont Group responsible for developing, reviewing, and harmonizing the organization’s internal policies, standards, and operational guidelines for financial intelligence units.
-
D.
Joint Working Group
The Joint Working Group is an ecumenical body that fosters dialogue and cooperation between the Roman Catholic Church and the World Council of Churches.
-
E.
Technical Assistance and Training Working Group
The Technical Assistance and Training Working Group is a specialized body within the Egmont Group that develops and coordinates capacity-building and training initiatives to strengthen financial intelligence units’ effectiveness in combating money laundering and terrorist financing.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
specialist body
ⓘ
technical committee ⓘ working group ⓘ |
| activity |
developing best practices
ⓘ
developing guidelines ⓘ developing standards ⓘ maintaining best practices ⓘ maintaining guidelines ⓘ maintaining standards ⓘ |
| aimsTo |
harmonize data quality practices across organizations
ⓘ
promote interoperability of data quality information ⓘ support international hydrographic standards ⓘ |
| collaboratesWith |
hydrographic offices
ⓘ
marine GIS users ⓘ marine data producers ⓘ |
| concerns |
completeness of hydrographic surveys
ⓘ
depth accuracy of bathymetric data ⓘ logical consistency of hydrographic datasets ⓘ positional accuracy of marine data ⓘ temporal quality of marine geospatial data ⓘ thematic accuracy of marine geospatial features ⓘ uncertainty in hydrographic measurements ⓘ |
| field |
data quality
ⓘ
hydrography ⓘ marine geospatial data ⓘ |
| focusesOn |
assessment of hydrographic data quality
ⓘ
best practices for hydrographic data quality ⓘ communication of hydrographic data quality ⓘ guidelines for hydrographic data quality ⓘ marine geospatial data quality ⓘ standards for hydrographic data quality ⓘ |
| goal |
enable users to understand fitness for purpose of hydrographic data
ⓘ
improve consistency of hydrographic data quality information ⓘ support marine spatial data infrastructures ⓘ support safe navigation through better data quality information ⓘ |
| hasScope |
data quality indicators
ⓘ
data quality measures ⓘ data quality metadata ⓘ data quality portrayal ⓘ hydrographic data ⓘ marine geospatial data ⓘ |
| produces |
data quality guidance documents
ⓘ
data quality models ⓘ data quality terminology ⓘ recommendations for data quality encoding ⓘ recommendations for data quality portrayal ⓘ |
| servesCommunity |
hydrographic community
ⓘ
marine geospatial community ⓘ |
| uses | international geospatial data quality concepts ⓘ |
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: Data Quality Working Group Description of subject: The Data Quality Working Group is a specialist body within the hydrographic community that develops and maintains standards, guidelines, and best practices for assessing and communicating the quality of hydrographic and marine geospatial data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.