Data conservancy provenance, context, and lineage services: Key components for data preservation and curation

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.

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Copyright 2013 Committee on Data for Science and Technology.
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Author Mayernik, Matthew
DiLauro, Tim
Duerr, Ruth
Metsger, Elliot
Thessen, Anne
Choudhury, G.
Publisher UCAR/NCAR - Library
Publication Date 2013-11-22T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T18:44:29.012398
Metadata Record Identifier edu.ucar.opensky::articles:14395
Metadata Language eng; USA
Suggested Citation Mayernik, Matthew, DiLauro, Tim, Duerr, Ruth, Metsger, Elliot, Thessen, Anne, Choudhury, G.. (2013). Data conservancy provenance, context, and lineage services: Key components for data preservation and curation. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7319ww7. Accessed 22 May 2025.

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