Provenance is a record that describes how entities, activities, and agents have influenced a
piece of data; it is commonly represented as graphs with relevant labels on both their nodes …

With aspect-oriented programming techniques, modularity may be achieved via separating
cross-cutting concerns. Data provenance can be considered as a cross-cutting concern …

Provenance is a record that describes the people, institutions, entities, and activities
involved in producing, influencing, or delivering a piece of data or a thing. The W3C …

In this article, we present the capabilities of the Common Metadata Framework (CMF) to
enable trustworthy artificial intelligence (AI). CMF is a decentralized framework for tracking …

Enabling provenance interoperability by analyzing heterogeneous provenance information
from different scientific workflow management systems is a novel research topic. With the …

ABSTRACT Persistent Identifiers (PIDs) have lately received a lot of attention from scientific
infrastructure projects and communities that aim to employ them for management of massive …

We present a technique to capture retrospective provenance across a number of tools in a
statistical software suite. Our goal is to facilitate portability of processes between the tools to …

The ability to measure the use and impact of published data sets is key to the success of the
open data/open science paradigm. A direct measure of impact would require tracking data …

Provenance, the lineage of data products, has been identified as a basic research issue in
distributed data and information infrastructures. Provenance could be captured at different …

Geospatial sUAS challenges the operational capacity of traditional cyber and personnel
investments by introducing rapid innovation, adoption of which is dependent upon new skill …