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8th and 9thIPAW 2021: Virtual Event
- Boris Glavic
, Vanessa Braganholo
Provenance and Annotation of Data and Processes - 8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19-22, 2021, Proceedings. Lecture Notes in Computer Science 12839, Springer 2021, ISBN 978-3-030-80959-1
Provenance Capture and Representation
- Elliot Fairweather, Martin Chapman
A Delayed Instantiation Approach to Template-Driven Provenance for Electronic Health Record Phenotyping. 3-19 - Débora B. Pina, Liliane N. O. Kunstmann, Daniel de Oliveira, Patrick Valduriez, Marta Mattoso
Provenance Supporting Hyperparameter Analysis in Deep Neural Networks. 20-38 - Sadnan Al Manir
Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods, and Results. 39-50 - Luc Moreau
The PROV-JSONLD Serialization - A JSON-LD Representation for the PROV Data Model. 51-67
Security
- Shamaria Engram, Tyler Kaczmarek, Alice Lee, David Bigelow:
Proactive Provenance Policies for Automatic Cryptographic Data Centric Security. 71-87 - Andreas Schreiber, Tim Sonnekalb, Thomas S. Heinze, Lynn von Kurnatowski, Jesús M. González-Barahona, Heather S. Packer:
Provenance-Based Security Audits and Its Application to COVID-19 Contact Tracing Apps. 88-105
Provenance Types, Inference, Queries and Summarization
- David Koop:
Notebook Archaeology: Inferring Provenance from Computational Notebooks. 109-126 - Murali Mani
Efficient Computation of Provenance for Query Result Exploration. 127-144 - David Kohan Marzagão
Incremental Inference of Provenance Types. 145-162
Reliability and Trustworthiness
- Elliot Fairweather, Rudolf Wittner
Non-repudiable Provenance for Clinical Decision Support Systems. 165-182 - Nikolaus Nova Parulian, Timothy M. McPhillips, Bertram Ludäscher:
A Model and System for Querying Provenance from Data Cleaning Workflows. 183-197
Joint IPAW/TaPP Poster and Demonstration Session
- Sheeba Samuel
ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks. 201-206 - Bernard Roper
Mapping Trusted Paths to VGI. 207-210 - Khalid Belhajjame, Mahmoud Barhamgi:
Querying Data Preparation Modules Using Data Examples. 211-217 - Tanja Auge
Privacy Aspects of Provenance Queries. 218-221 - Rudolf Wittner
ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen And Data. 222-225 - Sheeba Samuel
Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles. 226-230 - Ben Werner
ProvViz: An Intuitive Prov Editor and Visualiser. 231-236 - Vashti Galpin
Curating Covid-19 Data in Links. 237-243 - Mathieu Servillat
Towards a Provenance Management System for Astronomical Observatories. 244-249 - Iori Mizutani
Towards Provenance Integration for Field Devices in Industrial IoT Systems. 250-255 - Martin Chapman
COVID-19 Analytics in Jupyter: Intuitive Provenance Integration Using ProvIt. 256-262 - Timothy M. McPhillips, Thomas Thelen, Craig Willis, Kacper Kowalik, Matthew B. Jones, Bertram Ludäscher:
CPR-A Comprehensible Provenance Record for Verification Workflows in Whole Tale. 263-269
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