Multidimensional Management of Geospatial Data Quality Information for its Dynamic Use Within GIS

2005 ◽  
Vol 71 (2) ◽  
pp. 205-215 ◽  
Author(s):  
Rodolphe Devillers ◽  
Yvan Bédard ◽  
Robert Jeansoulin
Keyword(s):  
Data Quality ◽  
Geospatial Data ◽  
Quality Information

scholarly journals Data Cleaning in Knowledge Discovery Database-Data Mining (KDD-DM)

2019 ◽  
Vol 8 (6S3) ◽  
pp. 2196-2199
Keyword(s):  
Data Mining ◽  
Information Systems ◽  
Data Quality ◽  
Knowledge Discovery ◽  
Information Management ◽  
Data Cleaning ◽  
Main Issue ◽  
Quality Information ◽  
Data Preparation ◽  
Paper Review

Data quality is a main issue in quality information management. Data quality problems occur anywhere in information systems. These problems are solved by Data Cleaning (DC). DC is a process used to determine inaccurate, incomplete or unreasonable data and then improve the quality through correcting of detected errors and omissions. Various process of DC have been discussed in the previous studies, but there is no standard or formalized the DC process. The Domain Driven Data Mining (DDDM) is one of the KDD methodology often used for this purpose. This paper review and emphasize the important of DC in data preparation. The future works was also being highlight.

scholarly journals Geospatial metadata retrieval from web services

2013 ◽  
Vol 19 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Ivanildo Barbosa
Keyword(s):  
Web Services ◽  
Data Quality ◽  
World Wide ◽  
Geospatial Data ◽  
Web Map ◽  
Matching Process ◽  
The World ◽  
Geospatial Metadata ◽  
Open Geospatial Consortium ◽  
Map Service

Nowadays, producers of geospatial data in either raster or vector formats are able to make them available on the World Wide Web by deploying web services that enable users to access and query on those contents even without specific software for geoprocessing. Several providers around the world have deployed instances of WMS (Web Map Service), WFS (Web Feature Service) and WCS (Web Coverage Service), all of them specified by the Open Geospatial Consortium (OGC). In consequence, metadata about the available contents can be retrieved to be compared with similar offline datasets from other sources. This paper presents a brief summary and describes the matching process between the specifications for OGC web services (WMS, WFS and WCS) and the specifications for metadata required by the ISO 19115 - adopted as reference for several national metadata profiles, including the Brazilian one. This process focuses on retrieving metadata about the identification and data quality packages as well as indicates the directions to retrieve metadata related to other packages. Therefore, users are able to assess whether the provided contents fit to their purposes.

scholarly journals Laying the Groundwork for Developing International Community Guidelines to Effectively Share and Reuse Digital Data Quality Information – Case Statement, Workshop Summary Report, and Path Forward

2020 ◽  
Author(s):  
Ge Peng ◽  
Carlo Lacagnina ◽  
Robert R. Downs ◽  
Ivana Ivanova ◽  
David F. Moroni ◽  
...  
Keyword(s):  
Data Quality ◽  
International Community ◽  
Digital Data ◽  
Quality Information ◽  
Summary Report ◽  
Workshop Summary ◽  
Fair Principles ◽  
Case Statement

This document provides background for and summarizes main takeaways of a workshop held virtually to kick off the development of community guidelines for consistently curating and representing dataset quality information in a way that is in line with the FAIR principles.

Sign in / Sign up

Export Citation Format

Share Document