Provenance and Annotation of Data and Processes

<p>Provenance Capture and Representation.- A Delayed Instantiation Approach to Template-driven Provenance for Electronic Health Record Phenotyping.- Provenance Supporting Hyperparameter Analysis in Deep Neural Networks.- Evidence Graphs: Supporting Transparent and FAIR Computation, with Defeasible Reasoning on Data, Methods and Results.- The PROV-JSONLD Serialization.- Security.- Proactive Provenance Policies for Automatic Cryptographic Data Centric Security.- Provenance-based Security Audits and its Application to COVID-19 Contact Tracing Apps.- Provenance Types, Inference, Queries and Summarization.- Notebook Archaeology: Inferring Provenance from Computational Notebooks.- Efficient Computation of Provenance for Query Result Exploration.- Incremental Inference of Provenance Types.- Reliability and Trustworthiness.- Non-repudiable Provenance for Clinical Decision Support Systems.- A Model and System for Querying Provenance from Data Cleaning Workflows.- Joint IPAW/TaPP Poster and Demonstration Session.- ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks.- Mapping Trusted Paths to VGI.- Querying Data Preparation Modules Using Data Examples.- Privacy Aspects of Provenance Queries.- ISO 23494: Biotechnology – Provenance Information Model for Biological Specimen and Data.- Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles.- ProvViz: An Intuitive Prov Editor and Visualiser.- Curating Covid-19 data in Links.- Towards a provenance management system for astronomical observatories.- Towards Provenance Integration for Field Devices in Industrial IoT systems.- COVID-19 Analytics in Jupyter: Intuitive Provenance Integration using ProvIt.- CPR - A Comprehensible Provenance Record for Verification Workflows in Whole Tale. </p>