How portable are the metadata standards for scientific data? A proposal for a metadata infrastructure

Jian Qin, Kai Li

Research output: Contribution to journalConference article

10 Scopus citations

Abstract

The one-covers-all approach in current metadata standards for scientific data has serious limitations in keeping up with the ever-growing data. This paper reports the findings from a survey to metadata standards in the scientific data domain and argues for the need for a metadata infrastructure. The survey collected 4400+ unique elements from 16 standards and categorized these elements into 9 categories. Findings from the data included that the highest counts of element occurred in the descriptive category and many of them overlapped with DC elements. This pattern also repeated in the elements co-occurred in different standards. A small number of semantically general elements appeared across the largest numbers of standards while the rest of the element co-occurrences formed a long tail with a wide range of specific semantics. The paper discussed implications of the findings in the context of metadata portability and infrastructure and pointed out that large, complex standards and widely varied naming practices are the major hurdles for building a metadata infrastructure.

Original languageEnglish (US)
Pages (from-to)25-34
Number of pages10
JournalProceedings of the International Conference on Dublin Core and Metadata Applications
StatePublished - Dec 1 2013
Event2013 International Conference on Dublin Core and Metadata Applications: Linking to the Future, DC 2013 - Lisbon, Portugal
Duration: Sep 2 2013Sep 6 2013

Keywords

  • Metadata infrastructure
  • Metadata standards
  • Scientific data

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Software

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