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Parulian, N. N., McPhillips, T. M., & Ludäscher, B. (2021). A Model and System for Querying Provenance from Data Cleaning Workflows. In B. Glavic, V. Braganholo, & D. Koop (Eds.), Provenance and Annotation of Data and Processes (pp. 183–197). Springer International Publishing. https://doi.org/10.1007/978-3-030-80960-7_11

Chard, K., Gaffney, N., Hategan, M., Kowalik, K., Ludaescher, B., McPhillips, T., Nabrzyski, J., Stodden, V., Taylor, I., Thelen, T., Turk, M. J., & Willis, C. (2020). Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform. ArXiv:2005.06087 [Cs]. https://doi.org/10.3233/APC200107

Chard, K., Gaffney, N., Jones, M. B., Kowalik, K., Ludäscher, B., McPhillips, T., Nabrzyski, J., Stodden, V., Taylor, I., Thelen, T., Turk, M. J., & Willis, C. (2019). Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses. 2019 15th International Conference on EScience (EScience), 514–521. https://doi.org/10.1109/eScience.2019.00068

McPhillips, T., Li, L., Parulian, N., & Ludäscher, B. (2019). Modeling Provenance and Understanding Reproducibility for OpenRefine Data Cleaning Workflows. 11th International Workshop on the Theory and Practice of Provenance, TaPP 2019.

McPhillips, T., Willis, C., Gryk, M. R., Nuñez-Corrales, S., & Ludäscher, B. (2019). Reproducibility by Other Means: Transparent Research Objects. 2019 15th International Conference on EScience (EScience), 502–509.

Ludäscher, B., Bowers, S., & McPhillips, T. (2018). Scientific Workflows. In L. Liu & M. T. Özsu (Eds.), Encyclopedia of Database Systems (pp. 3320–3324). Springer. https://doi.org/10.1007/978-1-4614-8265-9_1471

McPhillips, T., Song, T., Kolisnik, T., Aulenbach, S., Belhajjame, K., Bocinsky, R. K., Cao, Y., Cheney, J., Chirigati, F., Dey, S., Freire, J., Jones, C., Hanken, J., Kintigh, K. W., Kohler, T. A., Koop, D., Macklin, J. A., Missier, P., Schildhauer, M., … Ludäscher, B. (2015). YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts. International Journal of Digital Curation, 10(1), 298–313. https://doi.org/10.2218/ijdc.v10i1.370

McPhillips, T., Bowers, S., Belhajjame, K., & Ludäscher, B. (2015). Retrospective Provenance Without a Runtime Provenance Recorder. 7th {USENIX} Workshop on the Theory and Practice of Provenance (TaPP 15). https://www.usenix.org/conference/tapp15/workshop-program/presentation/mcphillips

McPhillips, T., Bowers, S., Zinn, D., & Ludäscher, B. (2009). Scientific workflow design for mere mortals. Future Generation Computer Systems, 25(5), 541–551. https://doi.org/10.1016/j.future.2008.06.013

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Lud ̈ ascher, B., Bowers, S., McPhillips, T.: Scientific Workflows. In:  ̈ Ozsu, M.T., Liu, L. (eds.) Encyclopedia of Database Systems. Springer, Heidelberg (to appear, 2009. (n.d.).