By Ojeda J.L., Cristobal J.A.
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Extra info for A bootstrap approach to model checking for linear models under length-biased data
Often data created by an organization may be also useful to others and by making metadata available through data catalogs and clearinghouses, organizations can ﬁnd: data to use; partners to share data collection and maintenance eﬀorts; and customers for their data. And ﬁnally, the third objective of metadata is to provide information to aid data transfer. In fact, metadata should accompany the transfer of a data set. In this way, metadata aids the organization receiving the data process and interpret data, incorporate data into its holdings, and update internal catalogs describing its data holdings.
Included in the datasets, their attributes and the encoding methods for the domain values (codes used and meaning, ). e. who distributes the data, what formats are used, availability and price of data and so on. html 16 1 Spatial Data Infrastructures and related concepts With independence of the standard being used, it is also usual to classify the metadata elements according to their role of data access in an end-to-end resource discovery, evaluation and access paradigm (Nebert, 2001). Although metadata standards do not separate explicitly the elements according to these roles, three incremental levels of metadata could be distinguished: • • • Discovery metadata is the minimum amount of information that needs to be provided to convey to the inquirer the nature and content of the data resource.
50 (also known as ISO 23950). 50 encodes protocol messages as byte streams over TCP (Basic Encoding Rules - BER (ISO, 1990)). However, this WWW proﬁles adds the possibility of encoding the messages in XML over HTTP (using XER 8 ), thus avoiding ﬁrewall restrictions problems and following the current tendency of creating Web services over HTTP. Another important area in the construction of an SDI is the Geospatial Data Access components. Once spatial data of interest have been located, it is necessary to visualize and evaluate the data.