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Analyzing Open Government High Value Datasets: Availability, Publishers’ Contribution and Technical Specifications

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Perspectives in Business Informatics Research (BIR 2023)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 493))

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Abstract

Extracting value from open (government) data has been in the limelight for quite some time now, with the Open Government Data (OGD)-also referred to as the Public Sector Information (PSI)- Directive, emphasizing the need for discovery of potential related to PSI and the re-use of data. This study provides insight on high-value datasets (HVD), i.e., the OGD matching the rigorous quality standards in terms of particularly the completeness, timeliness, and machine-processability, in the European Data Portal (EDP) in order to measure various aspects of the datasets, which will help obtain further insights on the current availability status, potential interoperability possibilities, drivers and barriers. The rationale behind this approach is to identify HVD in line with the thematic categories of the PSI Directive and to put a focus on the EDP HVD across three dimensions, viz., data publishing, availability, and technical requirements which need to be met. Findings attest the need for provisioning qualitatively robust HVDs with requisite technical specifications for facilitating value derivation by the range of stakeholders. Apart from contributing towards the HVD and OGD literature, the study lends insights across the availability-value generation focus via the EDP, thereby providing policy implications and further research pointers along these lines.

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Acknowledgments

The authors acknowledge the financial support from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 955569.

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Authors and Affiliations

  1. University of the Aegean, Mytilene, Greece

    Maria Ioanna Maratsi, Mohsan Ali, Charalampos Alexopoulos & Yannis Charalabidis

  2. Graphic Era University, Dehradun, India

    Stuti Saxena

  3. Gdańsk University of Technology, Gdańsk, Poland

    Nina Rizun

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  1. Maria Ioanna Maratsi
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Correspondence to Maria Ioanna Maratsi .

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  1. FHNW, Olten, Switzerland

    Knut Hinkelmann

  2. University of Zaragoza, Zaragoza, Spain

    Francisco J. López-Pellicer

  3. University of Camerino, Camerino, Italy

    Andrea Polini

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Maratsi, M.I., Ali, M., Alexopoulos, C., Saxena, S., Rizun, N., Charalabidis, Y. (2023). Analyzing Open Government High Value Datasets: Availability, Publishers’ Contribution and Technical Specifications. In: Hinkelmann, K., López-Pellicer, F.J., Polini, A. (eds) Perspectives in Business Informatics Research. BIR 2023. Lecture Notes in Business Information Processing, vol 493. Springer, Cham. https://doi.org/10.1007/978-3-031-43126-5_21

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