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From Records to Data with Recollection


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Slides for two talks I gave about Recollection at BPL and NYPL.

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From Records to Data with Recollection

  1. 1. From Records to Data Seeing and Sharing Digital Cultural Heritage Collections Differently with Recollection
  2. 2. stay in touch <ul><li>email [email_address] and we will create an account for you. </li></ul><ul><li>contact me directly at [email_address] </li></ul><ul><li>visit </li></ul>
  3. 5. the heterogeneity of our data is an asset
  4. 6. recollection floats on top
  5. 7. bigish ideas <ul><li>one big distributed collection </li></ul><ul><li>open distributed infrastructure </li></ul><ul><li>mindset: records -> data </li></ul>
  6. 8. Beyond thinking like cards
  7. 9. to thinking like data
  8. 10. interfaces are ways of seeing
  9. 11. seeing the big picture
  10. 12. helps find little fixes
  11. 13. interfaces for discovery
  12. 17. interfaces for sense making
  13. 20. Can we abstract a more generic solution?
  14. 23. still too hard
  15. 24. the Recollection idea digital cultural heritage collections include temporal , locative , and categorical data that, could be tapped to better dynamically interact with and understand those collections.
  16. 25. the challenges <ul><li>we all have different kinds of metadata </li></ul><ul><li>that data is in different kinds of systems </li></ul><ul><li>much of that data is messy </li></ul><ul><li>much of that data is not in the format we might wish it was </li></ul>
  17. 26. history Recollection was initially developed as a tool to help NDIIPP partners develop common interfaces to the distributed national collection of born digital materials they have preserved. The project is now in the process of becoming more broadly available.
  18. 27. broader audiences As we move toward a broader public release the project is embracing a wider audience. This audience includes librarians, archivists, curators, and researchers around the nation interested in better understanding and expanding access to their digital collections.
  19. 28. what recollection does
  20. 29. take this
  21. 30. or this
  22. 31. and make…
  23. 33. the workflow <ul><li>ingest data </li></ul><ul><li>augment data </li></ul><ul><li>design views </li></ul><ul><li>publish and embed views </li></ul><ul><li>share data and views </li></ul>
  24. 34. ingest ingest collections from spreadsheets , MODS records, or ATOM and RSS
  25. 39. augment derive ISO dates , latitude and longitude coordinates, and break apart data
  26. 42. design views graphical interface for assembling views
  27. 46. publish and embed views publish views on the site or embed one line of javascript into any HTML document.
  28. 51. share data and views share not only the end results, but also the raw data for other others to create their own views.
  29. 54. the result come for the views, stick around for the linked data…
  30. 56. what’s next? full open source release: imminent <ul><li>public/private views and data: soon </li></ul><ul><li> public launch: soon-ish </li></ul><ul><li>big data sets: in a while </li></ul><ul><li> as a portal: in the future </li></ul><ul><li>remix across data sets: long view </li></ul>
  31. 57. References: links and Images Referenced Sites and Projects NDIIPP, Zotero, LCSH Galaxy, Hurricane Digital Memory Bank, Digital Harlem, PhilaPlace, HistoryPin, SIMILE Exhibit, Creative Commons Images Instructions, a sign of things to come, Colourful army,
  32. 58. stay in touch <ul><li>email [email_address] and we will create an account for you. </li></ul><ul><li>contact me directly at [email_address] </li></ul><ul><li>visit </li></ul>