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Additional difficulties include inconsistent data structures, formats, and metadata required by geospatial models as well as limitations on computing, storage, and connectivity.
The continued conceptual and operational developments in metadata required to support comprehensive automated scientific workflow systems portend many challenges and opportunities.
In this paper, we survey and categorize the metadata required for a diverse set of Stanford Digital Library services that we have built.
The standard defines the minimum set of metadata required to serve the wide range of metadata applications, as well as optional metadata elements to support an extensive description of geographic data.
Researchers can deposit personal or shared collections and perform entry of associated metadata required for curation.
The metadata required for effective data management varies with the type of data and context of use.
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Versioning of texts, references, and metadata requires identifiers that reflect the different versions of these resources.
Typically, retrieving these metadata requires querying specific portals, often one gene at a time, and compiling outputs into a centralized format for analysis.
An increasing realism in geovisualisations tends to result in more complex geodata and metadata, requiring sophisticated solutions for efficient data management.
Existing efforts to curate and publish datasets take a top-down approach and are focused on large collections, produce scarce metadata, require expertise for effective integration, provide poor user support while producing mappings, and present issues at data access.
The ICEMR metadata cover all required metadata specified in the NIAID/GSCD/BRC Sample Application Standard.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com