Abstract is missing.
- A Delayed Instantiation Approach to Template-Driven Provenance for Electronic Health Record PhenotypingElliot Fairweather, Martin Chapman, Vasa Curcin. 3-19 [doi]
- Provenance Supporting Hyperparameter Analysis in Deep Neural NetworksDébora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira 0001, Patrick Valduriez, Marta Mattoso. 20-38 [doi]
- Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods, and ResultsSadnan Al Manir, Justin Niestroy, Maxwell Adam Levinson, Timothy W. Clark. 39-50 [doi]
- The PROV-JSONLD Serialization - A JSON-LD Representation for the PROV Data ModelLuc Moreau 0001, Trung Dong Huynh. 51-67 [doi]
- Proactive Provenance Policies for Automatic Cryptographic Data Centric SecurityShamaria Engram, Tyler Kaczmarek, Alice Lee, David Bigelow. 71-87 [doi]
- Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing AppsAndreas Schreiber 0001, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesús M. González-Barahona, Heather S. Packer. 88-105 [doi]
- Notebook Archaeology: Inferring Provenance from Computational NotebooksDavid Koop. 109-126 [doi]
- Efficient Computation of Provenance for Query Result ExplorationMurali Mani, Naveenkumar Singaraj, Zhenyan Liu. 127-144 [doi]
- Incremental Inference of Provenance TypesDavid Kohan Marzagão, Trung Dong Huynh, Luc Moreau 0001. 145-162 [doi]
- Non-repudiable Provenance for Clinical Decision Support SystemsElliot Fairweather, Rudolf Wittner, Martin Chapman, Petr Holub, Vasa Curcin. 165-182 [doi]
- A Model and System for Querying Provenance from Data Cleaning WorkflowsNikolaus Nova Parulian, Timothy M. McPhillips, Bertram Ludäscher. 183-197 [doi]
- ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter NotebooksSheeba Samuel, Birgitta König-Ries. 201-206 [doi]
- Mapping Trusted Paths to VGIBernard Roper, Adriane Chapman, David Martin, Stefano Cavazzi. 207-210 [doi]
- Querying Data Preparation Modules Using Data ExamplesKhalid Belhajjame, Mahmoud Barhamgi. 211-217 [doi]
- Privacy Aspects of Provenance QueriesTanja Auge, Nic Scharlau, Andreas Heuer 0001. 218-221 [doi]
- ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And DataRudolf Wittner, Petr Holub, Heimo Müller, Joerg Geiger, Carole A. Goble, Stian Soiland-Reyes, Luca Pireddu, Francesca Frexia, Cecilia Mascia, Elliot Fairweather, Jason R. Swedlow, Josh Moore, Caterina Strambio-De-Castillia, David Grunwald, Hiroki Nakae. 222-225 [doi]
- Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data PrinciplesSheeba Samuel, Frank Löffler 0001, Birgitta König-Ries. 226-230 [doi]
- ProvViz: An Intuitive Prov Editor and VisualiserBen Werner, Luc Moreau 0001. 231-236 [doi]
- Curating Covid-19 Data in LinksVashti Galpin, James Cheney. 237-243 [doi]
- Towards a Provenance Management System for Astronomical ObservatoriesMathieu Servillat, François Bonnarel, Catherine Boisson, Mireille Louys, José Enrique Ruiz, Michèle Sanguillon. 244-249 [doi]
- Towards Provenance Integration for Field Devices in Industrial IoT SystemsIori Mizutani, Jonas Brütsch, Simon Mayer. 250-255 [doi]
- COVID-19 Analytics in Jupyter: Intuitive Provenance Integration Using ProvItMartin Chapman, Elliot Fairweather, Asfand Khan, Vasa Curcin. 256-262 [doi]
- CPR-A Comprehensible Provenance Record for Verification Workflows in Whole TaleTimothy M. McPhillips, Thomas Thelen, Craig Willis, Kacper Kowalik, Matthew B. Jones, Bertram Ludäscher. 263-269 [doi]