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Data In :: Data Out

Data In :: Data Out. The Archives Hub as part of a national resource discovery vision. Always think about flexible approaches in order to open up and maximise the potential of your data 2) Think visual , but combine this with a solid backbone that provides good content and context

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Data In :: Data Out

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  1. Data In :: Data Out The Archives Hub as part of a national resource discovery vision

  2. Always think about flexible approaches in order to open up and maximise the potential of your data 2) Think visual, but combine this with a solid backbone that provides good content and context 3) 'Data out' relies upon the quality of 'data in'. Look for effective ways to maintain the quality of the data coming in. Key Points

  3. Exposure

  4. Identity

  5. Visual, flexible & contextualised

  6. ontology is overrated? Visual immediacy & flexible data

  7. Innovation: link from description, etc. Visual immediacy

  8. Data by region

  9. Rich Content

  10. Specialist access

  11. Query: “artists” Styled Results set Genesis styles & presents Query: “artists” + ‘women’ User only aware of “artists” search XML results set Archives Hub API: SRU All descriptions with ‘women’ as an index term + “artists” as a keywords

  12. Linking Lives: • New perspective • Name-based interface • Connections with other data sources • Archives become inter-connected • Issues of authority, trust, provenance, open data licences Inter-connected

  13. All these innovations rely on the data that comes in

  14. Data In: Control

  15. Data In: Education

  16. Data In: Education

  17. Data In: Import

  18. Data In: Friendly faces!

  19. UKAD: • New website • Indexing tutorial • Case studies • Other resources • Survey: more training, more guidance

  20. Always think about flexible approaches in order to maximise the potential of your data 2) Think visual, but combine this with a solid backbone that provides content and context 3) 'Data out' relies upon the quality of 'data in'. Look for effective ways to maintain the quality of the data coming in. Data in = 4-pronged approach: control, education, data sharing & personal support. 

  21. Archives Hub http://archiveshub.ac.uk Archives Hub Blog http://archiveshub.ac.uk/blog Archives Hub Twitter http://www.twitter.com/archiveshub

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