Provenance refers to any information describing the production process of an end product,
which can be anything from a piece of digital data to a physical object. While this survey …

Data analysts use computational notebooks to write code for analyzing and visualizing data.
Notebooks help analysts iteratively write analysis code by letting them interleave code with …

Scripts are widely used to design and run scientific experiments. Scripting languages are
easy to learn and use, and they allow complex tasks to be specified and executed in fewer …

Data processing pipelines that are designed to clean, transform and alter data in preparation
for learning predictive models, have an impact on those models' accuracy and performance …

We present noWorkflow, an open-source tool that systematically and transparently collects
provenance from Python scripts, including data about the script execution and how the script …

Successful data-driven science requires complex data engineering pipelines to clean,
transform, and alter data in preparation for machine learning, and robust results can only be …

The noWorkflow and YesWorkflow toolkits both enable researchers to capture, store, query,
and visualize the provenance of results produced by scripts that process scientific data …

Script languages are powerful tools for scientists. Scientists use them to process data,
invoke programs, and link program outputs/inputs. During the life cycle of scientific …

The PROV data model assumes that entities are immutable and all changes to an entity e
are represented by the creation of a new entity e'. This is reasonable for many provenance …

Data provenance is the history of an item of data from the point of its creation to its present
state. It can support science by improving understanding of and confidence in data …