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CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale

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Book cover Provenance and Annotation of Data and Processes (IPAW 2020, IPAW 2021)

Work supported by NSF Award OAC-1541450.

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Notes

  1. 1.

    https://github.com/blazegraph/database.

  2. 2.

    https://www.w3.org/TR/prov-dm/.

  3. 3.

    https://github.com/CIRSS/geist.

  4. 4.

    https://github.com/CIRSS/cpr-demo-2021.

  5. 5.

    https://github.com/DataONEorg/matlab-dataone.

References

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  5. Pasquier, T., et al.: Practical whole-system provenance capture. In: Symposium on Cloud Computing (SoCC 2017). ACM (2017)

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  9. Willis, C., Stodden, V.: Trust but verify: How to leverage policies, workflows, and infrastructure to ensure computational reproducibility in publication. Harvard Data Sci. Rev. 2(4) (2020)

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Correspondence to Timothy M. McPhillips .

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McPhillips, T.M., Thelen, T., Willis, C., Kowalik, K., Jones, M.B., Ludäscher, B. (2021). CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale. In: Glavic, B., Braganholo, V., Koop, D. (eds) Provenance and Annotation of Data and Processes. IPAW IPAW 2020 2021. Lecture Notes in Computer Science(), vol 12839. Springer, Cham. https://doi.org/10.1007/978-3-030-80960-7_23

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  • DOI: https://doi.org/10.1007/978-3-030-80960-7_23

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