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EC-GIS, Lyon, 28-30 June 2000 1 Meta data Meta what !?! Tim Hancock.

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Presentation on theme: "EC-GIS, Lyon, 28-30 June 2000 1 Meta data Meta what !?! Tim Hancock."— Presentation transcript:

1 EC-GIS, Lyon, 28-30 June 2000 1 Meta data Meta what !?! Tim Hancock

2 EC-GIS, Lyon, 28-30 June, 2000 2 Meta what !?!  Industry trends  What does this mean for:  data users  data providers  service providers  Outstanding issues Outline

3 EC-GIS, Lyon, 28-30 June, 2000 3 Meta what !?! Definition  What is metadata?  Summary information or characteristics of a dataset  Why are we concerned ?  Value of datasets  Cataloguing

4 EC-GIS, Lyon, 28-30 June, 2000 4 Meta what !?! Different types  Discovery..  Exploration..  Exploitation

5 EC-GIS, Lyon, 28-30 June, 2000 5 Meta what !?! Industry trends (1)  General IT trends  … Everyone, Anytime, Anywhere …  Standards  … compatibility  Search facilities / Interoperability ... connect to and interrogate any system

6 EC-GIS, Lyon, 28-30 June, 2000 6 Meta what !?! Industry trends (2)  Services  “packaging”  In summary …  the infrastructure will be in place  content descriptions

7 EC-GIS, Lyon, 28-30 June, 2000 7 Meta what !?! Model A

8 EC-GIS, Lyon, 28-30 June, 2000 8 Meta what !?! Model B

9 EC-GIS, Lyon, 28-30 June, 2000 9 Meta what !?! Data users  Role  What to find out about ”things”  Obtain information …  Implications  interface  … expectations

10 EC-GIS, Lyon, 28-30 June, 2000 10 Meta what !?! Data Providers  Role  collect and use information for production purposes  provide information to customers  Implications  Use standards and collect information (be aware of requirements)  Automation  “Lower” level information

11 EC-GIS, Lyon, 28-30 June, 2000 11 Meta what !?! Service Providers  Role  Interface between the creators and users  Integrate different formats/standards/…  Implications  Must “add value”  Ensure relevance of standards - and work to develop  Identification of data sets

12 EC-GIS, Lyon, 28-30 June, 2000 12 Meta what !?! Issues  Thesaurus  Identifiers for datasets  Automation


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