Functional and Architectural Requirements for Metadata: Supporting Discovery and Management of Scientific Data

Jian Qin, Alex Ball, Jane Greenberg

Research output: Contribution to conferencePaper

17 Citations (Scopus)
134 Downloads (Pure)

Abstract

The tremendous growth in digital data has led to an increase in metadata initiatives specific to different types of scientific data, as evident by Ball's survey (2010). Although various communities have specific needs, there are shared goals that need to be recognized if systems are to effectively support data sharing within and across all domain. This paper considers this need, and defines systems requirements that are essential for metadata supporting the discovery and management of scientific data. The paper begins with an introduction, following by a review of selected research specific to metadata modeling in the sciences. Next, the paper’s goals are stated, following by the presentation of systems requirements are stated. The results include a base-model with three chief principles: principle of least effort, infrastructure service, and portability. The principles are intended to support "data user" tasks. Results also include a set of defined user tasks and functions, and applications scenarios.
Original languageEnglish
Pages62-71
Publication statusPublished - Sep 2012
EventTwelfth International Conference on Dublin Core and Metadata Applications - Kuching, Malaysia
Duration: 3 Sep 20127 Sep 2012

Conference

ConferenceTwelfth International Conference on Dublin Core and Metadata Applications
CountryMalaysia
CityKuching
Period3/09/127/09/12

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    Qin, J., Ball, A., & Greenberg, J. (2012). Functional and Architectural Requirements for Metadata: Supporting Discovery and Management of Scientific Data. 62-71. Paper presented at Twelfth International Conference on Dublin Core and Metadata Applications, Kuching, Malaysia.