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Managing Comprehensive Research Instrument Descriptions Within a Scholarly Knowledge Graph

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Sustainability and Empowerment in the Context of Digital Libraries (ICADL 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15494))

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Abstract

In research, measuring instruments play a crucial role in producing the data that underpin scientific discoveries. Information about instruments is essential in data interpretation and, thus, knowledge production. However, if at all available and accessible, such information is scattered across numerous data sources. Relating the relevant details, e.g. instrument specifications or calibrations, with associated research assets (data, but also operating infrastructures) is challenging. Moreover, understanding the (possible) use of instruments is essential for researchers in experiment design and execution. To address these challenges, we propose a Knowledge Graph (KG) based approach for representing, publishing, and using information, extracted from various data sources, about instruments and associated scholarly artefacts. The resulting KG serves as a foundation for exploring and gaining a deeper understanding of the use and role of instruments in research, discovering relations between instruments and associated artefacts (articles and datasets), and opens the possibility to quantify the impact of instruments in research.

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Notes

  1. 1.

    https://www.dbpedia.org.

  2. 2.

    https://www.wikidata.org/wiki/Wikidata:Main_Page.

  3. 3.

    https://hi-knowledge.org.

  4. 4.

    https://www.orkg.org/.

  5. 5.

    https://datacite.org/.

  6. 6.

    https://sensor.awi.de/.

  7. 7.

    https://github.com/rdawg-pidinst/schema/blob/master/schema.rst.

  8. 8.

    https://api.datacite.org/graphql.

  9. 9.

    https://dashboard.awi.de/data-xxl/api/#/default/saveData.

  10. 10.

    https://www.pangaea.de/.

  11. 11.

    https://api.unpaywall.org/v2/10.1186/s12920-019-0613-5?email=unpaywall_01@example.com.

  12. 12.

    https://orkg.org/help-center/article/20/ORKG_Research_fields_taxonomy.

  13. 13.

    https://gitlab.com/TIBHannover/orkg/orkg-ontology/-/blob/master/orkg-core.ttl?ref_type=heads.

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Acknowledgment

This work was co-funded by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536) and the German Research Foundation (DFG) project NFDI4DS (PN: 460234259).

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Authors and Affiliations

  1. L3S Research Center, Leibniz University Hannover, 30167, Hannover, Germany

    Muhammad Haris, Sören Auer & Markus Stocker

  2. TIB—Leibniz Information Centre for Science and Technology, Hannover, Germany

    Sören Auer & Markus Stocker

Authors
  1. Muhammad Haris
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  2. Sören Auer
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  3. Markus Stocker
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Correspondence to Muhammad Haris .

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Editors and Affiliations

  1. Monash University, Clayton, VIC, Australia

    Gillian Oliver

  2. Monash University, Clayton, VIC, Australia

    Viviane Frings-Hessami

  3. Charles Sturt University, Bathurst, NSW, Australia

    Jia Tina Du

  4. Tsukuba University, Tsukuba, Japan

    Taro Tezuka

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Haris, M., Auer, S., Stocker, M. (2025). Managing Comprehensive Research Instrument Descriptions Within a Scholarly Knowledge Graph. In: Oliver, G., Frings-Hessami, V., Du, J.T., Tezuka, T. (eds) Sustainability and Empowerment in the Context of Digital Libraries. ICADL 2024. Lecture Notes in Computer Science, vol 15494. Springer, Singapore. https://doi.org/10.1007/978-981-96-0868-3_3

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  • DOI: https://doi.org/10.1007/978-981-96-0868-3_3

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  • Online ISBN: 978-981-96-0868-3

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