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Metadata – use

Metadata – use. data discovery e.g. a library catalog data assessment determine the fitness-for-purpose of a data set data retrieval e.g., format. metadata. … to accompany the data. Original source Data processing lineage Data quality. More about metadata.

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Metadata – use

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  1. Metadata – use • data discovery • e.g. a library catalog • data assessment • determine the fitness-for-purpose of a data set • data retrieval • e.g., format

  2. metadata … to accompany the data Original source Data processing lineage Data quality

  3. More about metadata • What– the title & description of the dataset. • Why– reasons for the data collection. • When- the dataset was created & updated.

  4. More about metadata (2) • Who– the originator and data supplier. • Where- the geographical extent based on lat/long, co-ordinates, geographical names or administrative areas. • How- to obtain more information or order the datasets inc. formats, media access, constraints.

  5. Metadata standards & tools • Dublin Core established some principles • National standards • e.g. US FGDC, UK NGDF & UK eGMS • ISO 19115 • ISO 19139 • XML implementation schema • e.g. UK Geo-Spatial Metadata Interoperability Initiative (UK Gemini) • MetaGenie

  6. Cost : Benefit Analysis • Expensive to generate • metadata represent a high level of abstraction and may need an expert to define But • the benefits are substantial • metadata make it possible to find data sets, and use them effectively • they allow the benefits of investments in data to be realized

  7. Gateways • Metadata describe each data set • But, how does a user know which metadata catalogue to search? • ‘collection-level’ metadata describe the contents of entire collections… …meta-metadata e.g. UK Gigateway, Geography Network

  8. The bigger picture: spatial data infrastructures • National & regional • NSDI (US) • INSPIRE (EU) • Global • GSDI …a new Global Information Society?

  9. Conclusions • Metadata is important to • Document data (good practice) • Address heterogeneity • Data & software components • Address distribution • Data & software Components • It helps to develop • Flexible solutions • Evolvable solutions (future-proofing your investment in data acquisition)

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