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Exploring linked statistical data using linked widgets

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Published:04 December 2014Publication History

ABSTRACT

The Open Data movement has gained momentum among governments, in the business world, and in the public sector in recent years. This movement has resulted in a growing number of open and accessible datasets that have established a solid basis for enhanced service offerings and improved experiences for citizens and businesses. Statistical data, which embodies a big portion of Open Data, comprises a wide range of domains including finance, demographics, transportation, employment, etc. Statistical data plays an important role in public policy formation and as a facilitator for informed decision-making in the private sector. Linked Statistical Data is an evolving concept that combines the richness of Linked Data (a set of best practices for publishing and connecting structured data on the Web) with the descriptiveness of statistical data to integrate data from multiple sources and put it in a semantic context. In this short paper, Linked Statistical Data limitations and challenges are explored before introducing Linked Widgets as an innovative approach.

References

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  • Published in

    cover image ACM Other conferences
    SoICT '14: Proceedings of the 5th Symposium on Information and Communication Technology
    December 2014
    304 pages
    ISBN:9781450329309
    DOI:10.1145/2676585

    Copyright © 2014 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 4 December 2014

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