It is extremely difficult to track down the original source of sensitive data from a variety of
sources in the cloud during transit and processing. For instance, data provenance, which …

Data is a valuable asset for the success of business and organizations these days, as it is
effectively utilized for decision making, risk assessment, prioritizing the goals and …

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 …

Relational databases have limited support for data collaboration, where teams
collaboratively curate and analyze large datasets. Inspired by software version control …

Provenance, a form of structured metadata designed to record the origin or source of
information, can be instrumental in deciding whether information is to be trusted, how it can …

HCI engages with data science through many topics and themes. Researchers have
addressed biased dataset problems, arguing that bad data can cause innocent software to …

We study in this paper provenance information for queries with aggregation. Provenance
information was studied in the context of various query languages that do not allow for …

The prov family of documents are the final output of the World Wide Web Consortium
Provenance Working Group, chartered to specify a representation of provenance to facilitate …

Workflow provenance typically assumes that each module is a" black-box", so that each
output depends on all inputs (coarse-grained dependencies). Furthermore, it does not …

Debugging data processing logic in Data-Intensive Scalable Computing (DISC) systems is a
difficult and time consuming effort. Today's DISC systems offer very little tooling for …