Data Provenance refers to the “origin”, “lineage”, and “source” of data. In this work, we examine provenance from a semantics perspective and present the W7 model, an ontological model of data provenance. In the W7 model, provenance is conceptualized as a combination of seven interconnected elements including “what”, “when”, “where”, “how”, “who”, “which” and “why”. Each of these components may...

This position paper argues the need to develop provenances, and provenance systems, in such a way that errors in the provenance (whether deliberate or not) can be detected and corrected. The requirement that a provenance have high assurance leads to some suggestions about the way a provenance should be constructed.

An interesting research problem in our age of Big Data is that of determining provenance. Granular evaluation of provenance of physical goods--e.g. tracking ingredients of a pharmaceutical or demonstrating authenticity of luxury goods--has often not been possible with today's items that are produced and transported in complex, inter-organizational, often internationally-spanning supply chains. ...

The Earth System Science Server (ES3) is a software environment for data-intensive Earth science, with unique capabilities for automatically and transparently capturing and managing the provenance of arbitrary computations. Transparent acquisition avoids the scientist having to express their computations in specific languages or schemas for provenance to be available. ES3 models provenance as r...

Data provenance allows us to explore the lineage and derivation history of data objects. As data and its provenance flow between people and tasks in potentially untrusted environments, it becomes essential to provide integrity and confidentiality assurances for provenance. Any solution also needs to be efficient, modular, and easy to deploy. In this poster and demonstration proposal, we discuss...

The Open Provenance Model is a model of provenance that is designed to meet the following requirements: (1) Allow provenance information to be exchanged between systems, by means of a compatibility layer based on a sharedprovenancemodel. (2) Allowdevelopers to build and share tools that operate on such a provenancemodel. (3) Define provenance in a precise, technology-agnostic manner. (4) Suppor...

As scientists continue to migrate their work to computational methods, it is important to track not only the steps involved in the computation but also the data consumed and produced. While this provenance information can be captured, in existing approaches, it often contains only weak references between data and provenance. When data files or provenance are moved or modified, it can be difficu...

In general, the task of generating provenance is still tedious, and the community still lacks tools to generate provenance easily. In particular, when writing papers, researchers should be able to produce the provenance of their papers, make it available online, and embed provenance metadata directly in their PDF files. To address this goal, we introduce prov.sty, a PROV style for LTEX, allowin...

Provenance is information recording the source, derivation, or history of some information. Provenance tracking has been studied in a variety of settings, particularly database management systems; however, although many candidate definitions of provenance have been proposed, the mathematical or semantic foundations of data provenance have received comparatively little attention. In this article...

While many scientific workflow systems track and record data provenance, few tools have been developed that provide convenient and effective ways to access and explore this information. Two important ways for provenance information to be accessed and explored is through browsing (i.e., visualizing and navigating data and process dependencies) and querying (e.g., to select certain portions of pr...