Provenance Research

Research Problems in Data Provenance

The problem of tracing the provenance (also known as lineage) of data is an ubiquitous problem that is frequently encountered in databases that are the result of many transformation steps. Scientific databases and data warehouses are some examples of such databases. However, contributions from the database research community towards this problem have been somewhat limited. In this paper, we mot...

Provenance Support for Medical Research

This poster paper introduces a system known as CRISTAL [1] and the experience using it for medical research, primarily in the neuGRID [2] and neuGridforUsers (N4U) projects. These projects aim to provide detailed traceability for research analysis processes in the study of biomarkers for Alzheimer’s disease. They have faced major challenges in managing data volumes and algorithm complexity lead...

Tracking Provenance in ORNL’s Flexible Research Platforms

Provenance is defined as information about the origin of objects, a concept that applies to both physical and digital objects and often overlaps both. The use of provenance in systems designed for research is an important but forgotten feature. Provenance allows for proper and exact tracking of information, its use, its lineage, its derivations and other metadata that are important for correctl...

Social Media Data in Research: Provenance Challenges

Implementing interoperable provenance in biomedical research

The provenance of a piece of data refers to knowledge about its origin, in terms of entities and actors involved in its creation, e.g. data sources used, operations carried out on them, and users enacting those operations. Provenance is used to better understand the data and the context of its production, and to assess its reliability, by asserting whether correct procedures were followed. Prov...