Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers

Jung-Hong Hong, Jing Cen Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the big data era, the successful sharing and integration of data from various resources becomes an essential requirement. As statistical data serves as the foundation for professional domains to report the phenomena in the reality according to the selected administration units, its importance has been well recognized. However, statistical data is typically collected and published by different responsible agencies, hence the heterogeneity of how the data is designed, prepared and disseminated becomes an obstacle impeding the automatic and interoperable use in multidisciplinary applications. From a standardization perspective, this research proposes an identifier-based framework for modeling the spatial, temporal and thematic aspects of cross-domain statistical data, such that any piece of distributed statistical information can be correctly and automatically interpreted without any ambiguity for further analysis and exploration. The results indicate the proposed mechanism successfully enables a comprehensive management of indicators from different resources and enhances the easier data retrieval and correct use across different domains. Meanwhile, the interface design exemplifies an innovated improvement on the presentation and interpretation of statistical information. The proposed solution can be readily implemented for building a transparent sharing environment for the National Spatial Data Infrastructure (NSDI).

Original languageEnglish
Title of host publication10th International Conference on Geographic Information Science, GIScience 2018
EditorsAmy L. Griffin, Stephan Winter, Monika Sester
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Print)9783959770835
DOIs
Publication statusPublished - 2018 Aug 1
Event10th International Conference on Geographic Information Science, GIScience 2018 - Melbourne, Australia
Duration: 2018 Aug 282018 Aug 31

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume114
ISSN (Print)1868-8969

Other

Other10th International Conference on Geographic Information Science, GIScience 2018
CountryAustralia
CityMelbourne
Period18-08-2818-08-31

Fingerprint

Standardization
Big data

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Hong, J-H., & Yang, J. C. (2018). Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers. In A. L. Griffin, S. Winter, & M. Sester (Eds.), 10th International Conference on Geographic Information Science, GIScience 2018 (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 114). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.GIScience.2018.31
Hong, Jung-Hong ; Yang, Jing Cen. / Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers. 10th International Conference on Geographic Information Science, GIScience 2018. editor / Amy L. Griffin ; Stephan Winter ; Monika Sester. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2018. (Leibniz International Proceedings in Informatics, LIPIcs).
@inproceedings{db78402e5b7949f1ac460d64cac7defe,
title = "Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers",
abstract = "In the big data era, the successful sharing and integration of data from various resources becomes an essential requirement. As statistical data serves as the foundation for professional domains to report the phenomena in the reality according to the selected administration units, its importance has been well recognized. However, statistical data is typically collected and published by different responsible agencies, hence the heterogeneity of how the data is designed, prepared and disseminated becomes an obstacle impeding the automatic and interoperable use in multidisciplinary applications. From a standardization perspective, this research proposes an identifier-based framework for modeling the spatial, temporal and thematic aspects of cross-domain statistical data, such that any piece of distributed statistical information can be correctly and automatically interpreted without any ambiguity for further analysis and exploration. The results indicate the proposed mechanism successfully enables a comprehensive management of indicators from different resources and enhances the easier data retrieval and correct use across different domains. Meanwhile, the interface design exemplifies an innovated improvement on the presentation and interpretation of statistical information. The proposed solution can be readily implemented for building a transparent sharing environment for the National Spatial Data Infrastructure (NSDI).",
author = "Jung-Hong Hong and Yang, {Jing Cen}",
year = "2018",
month = "8",
day = "1",
doi = "10.4230/LIPIcs.GIScience.2018.31",
language = "English",
isbn = "9783959770835",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
editor = "Griffin, {Amy L.} and Stephan Winter and Monika Sester",
booktitle = "10th International Conference on Geographic Information Science, GIScience 2018",
address = "Germany",

}

Hong, J-H & Yang, JC 2018, Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers. in AL Griffin, S Winter & M Sester (eds), 10th International Conference on Geographic Information Science, GIScience 2018. Leibniz International Proceedings in Informatics, LIPIcs, vol. 114, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 10th International Conference on Geographic Information Science, GIScience 2018, Melbourne, Australia, 18-08-28. https://doi.org/10.4230/LIPIcs.GIScience.2018.31

Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers. / Hong, Jung-Hong; Yang, Jing Cen.

10th International Conference on Geographic Information Science, GIScience 2018. ed. / Amy L. Griffin; Stephan Winter; Monika Sester. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2018. (Leibniz International Proceedings in Informatics, LIPIcs; Vol. 114).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers

AU - Hong, Jung-Hong

AU - Yang, Jing Cen

PY - 2018/8/1

Y1 - 2018/8/1

N2 - In the big data era, the successful sharing and integration of data from various resources becomes an essential requirement. As statistical data serves as the foundation for professional domains to report the phenomena in the reality according to the selected administration units, its importance has been well recognized. However, statistical data is typically collected and published by different responsible agencies, hence the heterogeneity of how the data is designed, prepared and disseminated becomes an obstacle impeding the automatic and interoperable use in multidisciplinary applications. From a standardization perspective, this research proposes an identifier-based framework for modeling the spatial, temporal and thematic aspects of cross-domain statistical data, such that any piece of distributed statistical information can be correctly and automatically interpreted without any ambiguity for further analysis and exploration. The results indicate the proposed mechanism successfully enables a comprehensive management of indicators from different resources and enhances the easier data retrieval and correct use across different domains. Meanwhile, the interface design exemplifies an innovated improvement on the presentation and interpretation of statistical information. The proposed solution can be readily implemented for building a transparent sharing environment for the National Spatial Data Infrastructure (NSDI).

AB - In the big data era, the successful sharing and integration of data from various resources becomes an essential requirement. As statistical data serves as the foundation for professional domains to report the phenomena in the reality according to the selected administration units, its importance has been well recognized. However, statistical data is typically collected and published by different responsible agencies, hence the heterogeneity of how the data is designed, prepared and disseminated becomes an obstacle impeding the automatic and interoperable use in multidisciplinary applications. From a standardization perspective, this research proposes an identifier-based framework for modeling the spatial, temporal and thematic aspects of cross-domain statistical data, such that any piece of distributed statistical information can be correctly and automatically interpreted without any ambiguity for further analysis and exploration. The results indicate the proposed mechanism successfully enables a comprehensive management of indicators from different resources and enhances the easier data retrieval and correct use across different domains. Meanwhile, the interface design exemplifies an innovated improvement on the presentation and interpretation of statistical information. The proposed solution can be readily implemented for building a transparent sharing environment for the National Spatial Data Infrastructure (NSDI).

UR - http://www.scopus.com/inward/record.url?scp=85051342231&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85051342231&partnerID=8YFLogxK

U2 - 10.4230/LIPIcs.GIScience.2018.31

DO - 10.4230/LIPIcs.GIScience.2018.31

M3 - Conference contribution

SN - 9783959770835

T3 - Leibniz International Proceedings in Informatics, LIPIcs

BT - 10th International Conference on Geographic Information Science, GIScience 2018

A2 - Griffin, Amy L.

A2 - Winter, Stephan

A2 - Sester, Monika

PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing

ER -

Hong J-H, Yang JC. Facilitating the interoperable use of cross-domain statistical data based on standardized identifiers. In Griffin AL, Winter S, Sester M, editors, 10th International Conference on Geographic Information Science, GIScience 2018. Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. 2018. (Leibniz International Proceedings in Informatics, LIPIcs). https://doi.org/10.4230/LIPIcs.GIScience.2018.31