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

Data Science Journal

Tim DiLauro²  Ruth Duerr⁴  Elliot Metsger²  Matthew S. Mayernik³  Anne E. Thessen¹  G. Sayeed Choudhury² 

[1] School of Life Sciences, Arizona State University, Phoenix, AZ, USA;Johns Hopkins University Sheridan Libraries, Baltimore, MD, USA;National Center for Atmospheric Research, University Corporation for Atmospheric Research, Boulder, CO, USA;National Snow and Ice Data Center, Boulder, CO, USA

关键词: Provenance;    Lineage;    Context;    Research data;    Data curation;    Preservation;    Infrastructure;   

DOI  :  10.2481/dsj.12-039

学科分类：计算机科学（综合）

来源: Ubiquity Press Ltd.

【 摘 要 】

References(27)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.

【 授权许可】

Unknown