||Overview of OneStop Project from a Metadata Point of View
Anna Milan (NESDIS/NCEI)
Yuanji Li, John Relph, Phil Jones, Nancy Ritchey, OneStop Metadata Team
|The OneStop Metadata team was formed during the spring of 2016. Since then, we improved and created metadata
for 5 data groups comprised of 322 collection level records and hundreds of thousands of granule level records. In this
short amount of time, following the iterative spirit of an agile approach, we developed requirements and best practices
while producing metadata while the design and development of the discovery system is also unfolding. This
presentation will discuss our requirements, progress so far, lessons learned and next steps.
||Decomposition of Collection Metadata and Dynamic Regeneration
John Relph (NESDIS/NCEI/OneStop)
|The descriptive information (metadata) for many data sets contain similar information; they might use the same
keywords, they might have some of the same contributors, they might refer to the same scientific papers. In order to
increase consistency between the representations of this information across data sets, it might be useful to
decompose the information into references to external components or to identified terms in standard vocabularies, for
example. Automated processes can be built to regenerate the descriptive information from its decomposed
components. This can reduce the amount of effort that data managers need to expend in order to update the
information in all metadata records, because the components can be updated and the changes will be reflected in all
affected records. This can also increase consistency between those records because those common components are
rendered identically, and because every component of a similar type is rendered in the same way. The metadata
management system being developed by OneStop is being designed to support this data model.
||Light under ISOLite - OneStop granule level discovery metadata
Yuanjie Li (NESDIS/NCEI)
Phil Jones (NESDIS/NCEI), Anna Milan (NESDIS/NCEI)
|This presentation will introduce talks about the new ISOLite metadata template, including the real examples of using
ISOLite for granule metadata/discovery work, and the built up tailored validation tools, such as the new Metadata
Rubric tool. The ISOLite metadata is the template was created by the NOAA OneStop Metadata Team following . This
template was built from the ISO 19115-2 schema validation file. 41% of the required fields can be mapped to ACDD
attributes in netCDF data and 48% are static template fields or can be sourced from the parent collection metadata.
ISOLite uses the minimum content that is necessary for the granule data discovery uses, thus it is lightweight, but
efficient. A comparison between the old ISO granule metadata and the ISOLite granule metadata shows a clear
decrease in the metadata file size. The reduced of the file size also improved the performance of metadata indexing to
the discovery portal.