Open Science Graphs Must Interoperate!
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-55814-7_16
Reference17 articles.
1. Aryani, A., et al.: A research graph dataset for connecting research data repositories using RD-Switchboard. Sci. Data 5 (2018). https://doi.org/10.1038/sdata.2018.99
2. Aryani, A., Wang, J.: Research graph: building a distributed graph of scholarly works using research data switchboard. In: Open Repositories Conference (2017). https://doi.org/10.4225/03/58c696655af8a
3. Baas, J., Schotten, M., Plume, A., Côté, G., Karimi, R.: Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Sci. Stud. 1(1), 377–386 (2020). https://doi.org/10.1162/qss_a_00019
4. Birkle, C., Pendlebury, D.A., Schnell, J., Adams, J.: Web of Science as a data source for research on scientific and scholarly activity. Quantitative Sci. Stud. 1(1), 363–376 (2020). https://doi.org/10.1162/qss_a_00018
5. Burton, A., et al.: The data-literature interlinking service: towards a common infrastructure for sharing data-article links. Program 51(1), 75–100 (2017). https://doi.org/10.1108/PROG-06-2016-0048
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