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SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

SDI Convergence - Nederlandse Commissie voor Geodesie - KNAW

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data and grid computing infrastructures with associated metadata to deliver on-line<br />

spatial data processing and modelling.<br />

Figure 1 organizes metadata into several simple functional classes and assists in illustrating<br />

the conceptual relationships between spatial data, spatial data metadata and the<br />

different forms of model metadata.<br />

Figure 1: Functional classes of metadata.<br />

This approach to describing metadata is slightly unorthodox because it extends the<br />

common paradigm that uses metadata largely for purposes of search and discovery.<br />

The term metadata, purportedly first used in 1969 (Howe, 1996) is defined as “structured<br />

information that describes, explains, locates or otherwise makes it easier to retrieve,<br />

use or manage an information resource” (NISO, 2004). A more commonly used<br />

definition is that metadata is “data about data”. Here we use ‘model metadata’ as a<br />

term or descriptor meaning ‘data about models’. This is not to be confused with the<br />

terms meta-modelling and meta-models as these describe a contemporary approach to<br />

model selection, construction and assembly (Keller and Dungen, 1999; Bridewell et al.,<br />

2006).<br />

The NISO (2004) metadata report states “Metadata is key to ensuring that resources<br />

will survive and continue to be accessible into the future”. In Agriculture and Natural<br />

Resource Management (NRM) this is undoubtedly true for metadata about data and<br />

information resources as these are often primary sources of knowledge describing the<br />

state and nature of environmental systems and are important for comparative analysis<br />

regardless of their age. However, this is probably less so for model metadata as models<br />

represent the interpolative, inferential or processing systems that are used in research.<br />

These methodologies are generally subject to continual improvement and consequently<br />

it could be argued that model metadata has a greater potential to age and is<br />

most useful when it is more current. Although there are metadata standards for data<br />

and information (ISO 19115) similar standards are only beginning to emerge for model<br />

metadata.<br />

The functional levels shown in Figure 1 are closely related to three main types of metadata:<br />

descriptive metadata, structural metadata and administrative metadata (NISO<br />

2004). At level 1 the metadata is primarily used as a resource for discovery and identi-<br />

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