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Why-Diff: Explaining differences amongst similar workflow runs by exploiting scientific metadata.

, , and . IEEE BigData, page 3031-3041. IEEE Computer Society, (2017)

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A formulation of the Data Quality Optimization Problem in Cooperative Information Systems., , , and . CAiSE Workshops (2), page 49-63. Faculty of Computer Science and Information Technology, Riga Technical University, Riga, Latvia, (2004)A Multidimensional Model for Information Quality in Cooperative Information Systems., and . ICIQ, page 25-40. MIT, (2003)Fine-grain web site structure discovery., , and . WIDM, page 15-22. ACM, (2003)Provenance and data differencing for workflow reproducibility analysis., , , and . CoRR, (2014)DataONE: A Data Federation with Provenance Support., , , , , , , , , and 2 other author(s). IPAW, volume 9672 of Lecture Notes in Computer Science, page 230-234. Springer, (2016)Editorial: Special Issue on Improving the Veracity and Value of Big Data., , and . ACM J. Data Inf. Qual., 9 (3): 13:1-13:2 (2018)S-OGSA as a Reference Architecture for OntoGrid and for the Semantic Grid, , , , , , and . The 3rd GGF Semantic Grid Workshop, GGF16, (2006)YesWorkflow: A User-Oriented, Language-Independent Tool for Recovering Workflow Information from Scripts., , , , , , , , , and 10 other author(s). CoRR, (2015)Supporting Better Insights of Data Science Pipelines with Fine-grained Provenance., , , and . CoRR, (2023)Data-Driven, AI-Based Clinical Practice: Experiences, Challenges, and Research Directions., , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 392-403. CEUR-WS.org, (2022)