extended-abstract

Open refine to wikibase: a new data upload pipeline

Authors:

Lucia Sohmen,

Lozana RossenovaAuthors Info & Claims

JCDL '22: Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries

Article No.: 53, Pages 1 - 2

https://doi.org/10.1145/3529372.3530919

Published: 20 June 2022 Publication History

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Abstract

This tutorial aims to help researchers, digital collection librarians and data managers make their datasets available as linked open data. Participants have the option to either bring their own dataset or work with a sample dataset provided by the organizers. They will take part in practical exercises and learn how to use OpenRefine for data transformation and Wikibase for data storage. This pipeline workflow was developed in the context of NFDI4Culture, a German consortium of research and cultural institutions working towards a shared infrastructure for research data that meets the needs of 21st century data creators, maintainers and end users.

References

[1]

NFDI4Culture. 2022. Retrieved from https://wwwnfdi4culture.de/

Google Scholar

[2]

Lozana Rossenova. and Lucia Sohmen. 2021. OpenRefine to Wikibase: Data Upload Pipeline. Wikiversity. Retrieved 18 Jan 2022 from https://en.wikiversity.org/wiki/OpenRefine_to_Wikibase:_Data_Upload_Pipeline

Google Scholar

[3]

Lozana Rossenova. and Lucia Sohmen. 2021. BYOD workshop (Bring your own dataset) - How to use Wikibase, OpenRefine and Linked Data. Retrieved 18 Jan 2022 from https://nfdi4culture.de/de/aktuelles/veranstaltungen/byod-workshop.html

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[4]

Retrieved 18 Jan 2022 from https://openrefine.org/. See also: Elizabeth Sterner. 2019. Cleaning Collections Data Using OpenRefine. In: Issues in Science and Technology Librarianship. 92.

Crossref

Google Scholar

[5]

Retrieved 18 Jan 2022 from https://wikiba.se/ and https://www.wikidata.org. See also: Alípio, S., Abdulai, M.S., Burnett, G. and Shick, D. 2021. Wikibase: the Software for Open Data projects. Wikimedia Tech News. Retrieved 18 Jan 2022 from https://tech-news.wikimedia.de/en/2021/04/14/wikibase-the-software-for-open-data-projects/

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Index Terms

Open refine to wikibase: a new data upload pipeline
1. Information systems
  1. Data management systems
  2. Information systems applications
    1. Collaborative and social computing systems and tools
      1. Open source software

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Published In

JCDL '22: Proceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries

June 2022

392 pages

ISBN:9781450393454

DOI:10.1145/3529372

General Chairs:
Akiko Aizawa
National Institute of Informatics, Japan
,
Thomas Mandl
University of Hildesheim, Germany
,
Zeljko Carevic
GESIS - Leibniz Institute for the Social Sciences, Germany
,
Program Chairs:
Annika Hinze
University of Waikato, New Zealand
,
Philipp Mayr
GESIS - Leibniz Institute for the Social Sciences, Germany
,
Philipp Schaer
TH Köln (University of Applied Sciences), Germany

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.

In-Cooperation

IEEE Technical Committee on Digital Libraries (TC DL)

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 June 2022

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Extended-abstract

Funding Sources

Deutsche Forschungsgemeinschaft

Conference

JCDL '22

Sponsor:

JCDL '22: The ACM/IEEE Joint Conference on Digital Libraries in 2022

June 20 - 24, 2022

Cologne, Germany

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JCDL '22 Paper Acceptance Rate 35 of 132 submissions, 27%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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