Work

Metadata and Provenance Management

Year: 2009

Type: book-chapter

Abstract: Scientists today collect, analyze, and generate TeraBytes and PetaBytes of data. These data are often shared and further processed and analyzed among collaborators. In order to facilitate sharing and data interpretations, data need to carry with it metadata about how the data was collected or generated, and provenance information about how the data was processed. This chapter describes metadata and provenance in the context of the data lifecycle. It also gives an overview of the approaches to metadata and provenance management, followed by examples of how applications use metadata and provenance in their scientific processes.

Source: Chapman & Hall/CRC computational science series/Chapman & Hall/CRC computational science

DOI: 10.1201/9781420069815-c12

Authors: Ewa Deelman, Bruce Berriman, Ann Chervenak, Oscar Corcho, Paul Groth, Luc Moreau

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, National Aeronautics and Space Administration, California Institute of Technology, NASA Exoplanet Science Institute, Jet Propulsion Laboratory, FP7 Information and Communication Technologies

Awards: Designing Scientific Software one Workflow at a Time, SCI: Cyberinfrastructure in Support of Research: A New Imperative

OpenAlex ID: W1480529862

FWCI: 4.288

Cites: 49

Cited by: 15

Related to: 10