Start Submission Become a Reviewer

Reading: Data Conservancy Provenance, Context, and Lineage Services: Key Components for Data Preserva...

Download

A- A+
dyslexia friendly

Research Papers

Data Conservancy Provenance, Context, and Lineage Services: Key Components for Data Preservation and Curation

Authors:

Matthew S Mayernik ,

National Center for Atmospheric Research, University Corporation for Atmospheric Research, Boulder, CO
X close

Tim DiLauro,

Johns Hopkins University Sheridan Libraries, Baltimore, MD
X close

Ruth Duerr,

National Snow and Ice Data Center, Boulder, CO
X close

Elliot Metsger,

Johns Hopkins University Sheridan Libraries, Baltimore, MD
X close

Anne E Thessen,

School of Life Sciences, Arizona State University, Phoenix, AZ
X close

G Sayeed Choudhury

Abstract

Among the key services that institutional data management infrastructures must provide are provenance and lineage tracking and the ability to associate data with contextual information needed for understanding and use. These functionalities are critical for addressing a number of key issues faced by data collectors and users, including trust in data, results traceability, data transparency, and data citation support. In this paper, we describe the support for these services within the Data Conservancy Service (DCS) software. The DCS provenance, context, and lineage services cross the four layers in the DCS data curation stack model: storage, archiving, preservation, and curation.
DOI: http://doi.org/10.2481/dsj.12-039
How to Cite: Mayernik, M.S. et al., (2013). Data Conservancy Provenance, Context, and Lineage Services: Key Components for Data Preservation and Curation. Data Science Journal. 12, pp.158–171. DOI: http://doi.org/10.2481/dsj.12-039
150
Views
62
Downloads
1
Citations
Published on 17 Nov 2013.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus