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A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain

Author

Listed:
  • Milena Stróżyna

    (Poznan University of Economics and Business (PUEB))

  • Gerd Eiden

    (LuxSpace Sarl, SES Business Center)

  • Witold Abramowicz

    (Poznan University of Economics and Business (PUEB))

  • Dominik Filipiak

    (Poznan University of Economics and Business (PUEB))

  • Jacek Małyszko

    (Poznan University of Economics and Business (PUEB))

  • Krzysztof Węcel

    (Poznan University of Economics and Business (PUEB))

Abstract

The paper presents a proposal for a framework for the identification, assessment and selection of open data sources based on certain quality criteria, such as accessibility, relevance, accuracy & reliability, clarity, timeliness & punctuality, and coherence & comparability. The framework concerns mainly open data sources and focuses on their quality. The open data are used to enhance existing internal data and to fuse them with data from other sources. The framework consists of few steps starting from definition of quality criteria based on review of relevant literature and user requirements, then identification of potential sources, sources assessment and selection, and finally data retrieval process. For each step, a specific approach is described, how it may be conducted in practice. The proposed framework is evaluated using a real use case scenario from the maritime domain. The main approach utilized in this use-case is the Delphi method with some characteristics of Analytic Hierarchy Process.

Suggested Citation

  • Milena Stróżyna & Gerd Eiden & Witold Abramowicz & Dominik Filipiak & Jacek Małyszko & Krzysztof Węcel, 2018. "A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 219-233, May.
    • Handle: RePEc:spr:elmark:v:28:y:2018:i:2:d:10.1007_s12525-017-0277-y
    DOI: 10.1007/s12525-017-0277-y
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    References listed on IDEAS

    as
    1. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    2. Martin J. Eppler, 2006. "Managing Information Quality," Springer Books, Springer, edition 0, number 978-3-540-32225-2, September.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Barbara Å libar & Dijana OreÅ¡ki & Nina BegiÄ ević ReÄ‘ep, 2021. "Importance of the Open Data Assessment: An Insight Into the (Meta) Data Quality Dimensions," SAGE Open, , vol. 11(2), pages 21582440211, June.
    2. Rainer Alt, 2018. "Electronic Markets and current general research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(2), pages 123-128, May.

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    More about this item

    Keywords

    Internet data sources; Quality assessment; Selection methodology;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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