Publications – Center for Informatics Research in Science and Scholarship

Bowers, S., Xia, Y., & Ludäscher, B. (2024). On the Structure of Game Provenance and its Applications. IEEE European Symposium on Security and Privacy Workshops, EuroS&PW 2024, Vienna, Austria, July 8-12, 2024, 602–609. https://doi.org/10.1109/EuroSPW61312.2024.00073

Skvortsov, E., Xia, Y., & Ludäscher, B. (2024). Logica: Declarative Data Science for Mere Mortals. In L. Tanca, Q. Luo, G. Polese, L. Caruccio, X. Oriol, & D. Firmani (Eds.), Proceedings 27th International Conference on Extending Database Technology, EDBT 2024, Paestum, Italy, March 25 - March 28 (pp. 842–845). OpenProceedings.org. https://doi.org/10.48786/edbt.2024.84

Lee, S., Glavic, B., Chapman, A., & Ludäscher, B. (2023). Hybrid Query and Instance Explanations and Repairs. Companion Proceedings of the ACM Web Conference 2023, 1559–1562. https://doi.org/10.1145/3543873.3587565

Auge, T., Bali, G., Klettke, M., Ludäscher, B., Söldner, W., Weishäupl, S., & Wettig, T. (2023). Provenance for Lattice QCD workflows. Companion Proceedings of the ACM Web Conference 2023, 1524–1530. https://doi.org/10.1145/3543873.3587559

Parulian, N. N., & Ludäscher, B. (2023). Trust the Process: Analyzing Prospective Provenance for Data Cleaning. Companion Proceedings of the ACM Web Conference 2023, 1513–1523. https://doi.org/10.1145/3543873.3587558

Li, L., & Ludäscher, B. (2023). On the Reusability of Data Cleaning Workflows. International Journal of Digital Curation, 17(1), 6–6. https://doi.org/10.2218/ijdc.v17i1.828

Ludäscher, B., Bowers, S., & Xia, Y. (2023). Games, Queries, and Argumentation Frameworks: Towards a Family Reunion. In G. Alfano & S. Ferilli (Eds.), Proceedings of the 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Rome, Italy, November 9, 2023 (Vol. 3546). CEUR-WS.org. https://ceur-ws.org/Vol-3546/paper06.pdf

Parulian, N. N., & Ludäscher, B. (2022). DCM explorer: a tool to support transparent data cleaning through provenance exploration. Proceedings of the 14th International Workshop on the Theory and Practice of Provenance, 1–6. https://doi.org/10.1145/3530800.3534539

Blount, T., Chapman, A., Johnson, M. A. C., & Ludäscher, B. (2021). Observed vs. Possible Provenance (Research Track). In T. Malik & T. Pasquier (Eds.), 13th International Workshop on Theory and Practice of Provenance, TaPP 2021, July 19-20, 2021. USENIX Association. https://www.usenix.org/conference/tapp2021/presentation/blount

Alter, G., Gager, J., Heus, P., Hunter, C., Ionescu, S., Iverson, J., Jagadish, H. V., Ludäscher, B., Lyle, J., McPhillips, T. M., Mueller, A., Nordgaard, S., Risnes, Ø., Smith, D. J., Song, J., & Thelen, T. (2021). Detailed Provenance Metadata from Statistical Analysis Software: TaPP Applications Track. In T. Malik & T. Pasquier (Eds.), 13th International Workshop on Theory and Practice of Provenance, TaPP 2021, July 19-20, 2021. USENIX Association. https://www.usenix.org/conference/tapp2021/presentation/alter

Parulian, N. N., & Ludäscher, B. (2021). Towards Transparent Data Cleaning: The Data Cleaning Model Explorer (DCM/X). In J. S. Downie, D. McKay, H. Suleman, D. M. Nichols, & F. Poursardar (Eds.), ACM/IEEE Joint Conference on Digital Libraries, JCDL 2021, Champaign, IL, USA, September 27-30, 2021 (pp. 326–327). IEEE. https://doi.org/10.1109/JCDL52503.2021.00054

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 B. Glavic, V. Braganholo, & D. Koop (Eds.), Provenance and Annotation of Data and Processes (pp. 263–269). Springer International Publishing. https://doi.org/10.1007/978-3-030-80960-7_23

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

Ludäscher, B., Weske, M., McPhillips, T., & Bowers, S. (2009). Scientific Workflows: Business as Usual? In U. Dayal, J. Eder, J. Koehler, & H. A. Reijers (Eds.), Business Process Management (pp. 31–47). Springer. https://doi.org/10.1007/978-3-642-03848-8_4

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.).