Title
A provenance-based approach to manage long term preservation of scientific data.
Abstract
Long term preservation of scientific data goes beyond the data, and extends to metadata preservation and curation. While several researchers emphasize curation processes, our work is geared towards assessing the quality of scientific (meta) data. The rationale behind this strategy is that scientific data are often accessible via metadata - and thus ensuring metadata quality is a means to provide long term accessibility. This paper discusses our quality assessment architecture, presenting a case study on animal sound recording metadata. Our case study is an example of the importance of periodically assessing (meta) data quality, since knowledge about the world may evolve, and quality decrease with time, hampering long term preservation.
Year
DOI
Venue
2014
10.1109/ICDEW.2014.6818316
ICDE Workshops
Field
DocType
Citations 
Metadata quality,Data mining,Metadata,World Wide Web,Architecture,Data quality,Computer science,Data curation,Data management plan,Database
Conference
3
PageRank 
References 
Authors
0.41
11
4