Provenance and Annotation of Data and Processes

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.