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  7. Encoding Provenance of Social Science Data: Integrating PROV with DDI

Encoding Provenance of Social Science Data: Integrating PROV with DDI

File(s)
EDDI13_Lagoze-submit.pdf (1003.82 KB)
PDF as submitted
EDDI13_Lagoze-submit.docx (1.76 MB)
Word 2010 format
Permanent Link(s)
https://hdl.handle.net/1813/34443
Collections
Cornell University NCRN node
Author
Lagoze, Carl
Block, William C.
Williams, Jeremy
Abowd, John
Vilhuber, Lars
Abstract

Provenance is a key component of evaluating the integrity and reusability of data for scholarship. While recording and providing access provenance has always been important, it is even more critical in the web environment in which data from distributed sources and of varying integrity can be combined and derived. The PROV model, developed under the auspices of the W3C, is a foundation for semantically-rich, interoperable, and web-compatible provenance metadata. We report on the results of our experimentation with integrating the PROV model into the DDI metadata for a complex, but characteristic, example social science data. We also present some preliminary thinking on how to visualize those graphs in the user interface.

Description
Submitted to EDDI13
5th Annual European DDI User Conference
December 2013, Paris, France
Sponsorship
NSF #1131848
Date Issued
2013-10-09
Keywords
metadata
•
provenance
•
DDI
•
eSocial Science
Type
report

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