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How to Cite a Web Ranking and Make it FAIR

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Linking Theory and Practice of Digital Libraries (TPDL 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14241))

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Abstract

Citing data is crucial for acknowledging and recognizing the contributions of experts, scientists, and institutions in creating and maintaining high-quality datasets. It ensures proper attribution and supports reproducibility in scientific research. While data citation methods have focused on structured or semi-structured datasets, there is a need to address the citation of web rankings. Web rankings are significant in scientific literature, information articles, and decision-making processes. However, citing web rankings presents challenges due to their dynamic nature. In response, we introduce a new “ranking citation” model and the Unipd Ranking Citation tool, designed to generate persistent and machine-readable citations, enhancing reproducibility and accountability in scientific research and general contexts. It is a user-friendly, open-source Chrome extension that employs ontology and RDF graphs for machine understanding and future reconstruction of rankings.

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Notes

  1. 1.

    https://www.rd-alliance.org/groups/data-citation-wg.html [visited on 22 May 2023].

  2. 2.

    https://www.rd-alliance.org/groups/complex-citations-working-group [visited on 22 May 2023].

  3. 3.

    https://www.elsevier.com/authors/tools-and-resources/research-data [visited on 22 May 2023].

  4. 4.

    See https://www.loc.gov/preservation/resources/rfs/stillimg.html and https://howtofair.dk/how-to-fair/file-formats/ [last visited on 24 May 2023].

  5. 5.

    https://html2canvas.hertzen.com/ [last visited on 30 May 2023.].

  6. 6.

    https://rankingcitation.dei.unipd.it/.

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Author information

Authors and Affiliations

  1. University of Padua, Padua, Italy

    Alessandro Lotta & Gianmaria Silvello

Authors
  1. Alessandro Lotta
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  2. Gianmaria Silvello
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Corresponding author

Correspondence to Gianmaria Silvello .

Editor information

Editors and Affiliations

  1. Amazon, Santa Clara, CA, USA

    Omar Alonso

  2. DataCite, Hannover, Germany

    Helena Cousijn

  3. University of Padua, Padua, Italy

    Gianmaria Silvello

  4. Europeana Foundation, BE Den Haag, The Netherlands

    Mónica Marrero

  5. University of Porto, Porto, Portugal

    Carla Teixeira Lopes

  6. University of Padua, Padua, Italy

    Stefano Marchesin

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Resources

GitHub Repository:

https://github.com/aleLotta/ranking-citation.git

Unipd Ranking Citation Tool: https://rankingcitation.dei.unipd.it/

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Lotta, A., Silvello, G. (2023). How to Cite a Web Ranking and Make it FAIR. In: Alonso, O., Cousijn, H., Silvello, G., Marrero, M., Teixeira Lopes, C., Marchesin, S. (eds) Linking Theory and Practice of Digital Libraries. TPDL 2023. Lecture Notes in Computer Science, vol 14241. Springer, Cham. https://doi.org/10.1007/978-3-031-43849-3_6

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  • DOI: https://doi.org/10.1007/978-3-031-43849-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43848-6

  • Online ISBN: 978-3-031-43849-3

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