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Discovery and Open Data: slides from #discopen session at JISC cross programme meeting in April 2012. Author: Amber Thomas, JISC. Discusses the data space around discovery issues in education and research, with a focus on open data. CC BY. Please see slide 2 for permissions.

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discopen

  1. 1. JISC Cross-Programme Discovery Workshop April 2012 ed uc dis da atio cov ta n e da and ry in ta ev rese e ry a w h rc h ere :discovery and open data #discopenAmber Thomas @ambroukProgramme Manager, JISC Digital Infrastructure Team excluding ppt template workshop slides see slide 2
  2. 2. Idea from Cameron NeylonYou are free to: Off the record questions, excluding ppt template comments should be copy, share, adapt or re-mix; flagged photograph, film or broadcast; blog, live-blog or post video ofthis presentation provided that: You attribute the work to its author and respect the rights and licences associated with its components. Slide Concept by Cameron Neylon, who has waived all copyright and related or neighbouring rights. This slide only CCZero. 2 Social Media Icons adapted with permission from originals by Christopher Ross. Original images are available under GPL at:2 http://www.thisismyurl.com/free-downloads/15-free-speech-bubble-icons-for-popular-websites
  3. 3. JISC Cross-Programme Discovery Workshop April 2012discopen Session objective: Explore possibilities offered by open data and address issues and highlight successful approaches14:00 The data space: a bit of context (15min) Introductions (max 45 min)15:00 Break15:15 Addressing the issues with open data .Facilitated Discussion around: •what technological approach is being taken to opening the data (e.g. API, RSS, linked data) •how are you tackling licensing and IPR issues? •what are some of the key lessons youre learning along the way? •anything you didnt anticipate? •are you aware of any other projects or initiatives which your work would overlap with?16:15 Break16:30 Distilling the discussion17:30 Close
  4. 4. JISC Cross-Programme Discovery Workshop April 2012the data spacea bit of context
  5. 5. data ain’t nothing new open data big datalinked data data analytics activity data paradata metadata ta : Why is everyone da re s suddenly talking ata whe ord d ry about data? w e eve new er y ywh nc er fa ev
  6. 6. data ain’t nothing newIs this some kind deriving data-drivenof tipping point? value infrastructure ev en efficiency int CEO ev o d s transparency data-drivent al er kin yo ata: are decision making g a ne b o is ut it
  7. 7. data ain’t nothing new none of this is really new, right? we know this stufflegal issues s eem t o ethics people ic ing bas formats be mak standards mi stakes! structures policies
  8. 8. if there was ever a time to apply good data practices, it is now open data big datalinked data data analytics activity data paradata deriving metadata the what data-driven value infrastructure the why efficiency the how transparency data-driven legal issues decision making ethics formats standards structures policies
  9. 9. if there was ever a time to apply good data practices, it is now data ain’t nothin new BUT there seems to be a groundswell enough data that is good enough enough political will of many hues enough technologies for big data: noSQL enough ways of showing data patterns: vizour job is often to apply known good practices, while the appetite and will is there
  10. 10. JISC-funded work in this space• We are in education and research: teaching, research, libraries, IT, corporate systems, UK shared services ...• We have been led into the data space from a wide range of specialisms• Our data space is multi-disciplinary• It’s not just about new practices but the application of good practices to new challenges
  11. 11. different perspectives• Things its useful to remember when talking to other projects, especially across programmes: – Your #1 objective may be their afterthought (and vice versa) – All projects operate within constraints: before you assume they are ignorant of solutions, ask if they had considered the approach you used, you might learn something – There is no such thing as a stupid question
  12. 12. technologies and licensing SPARQL platforms OGL CC DublinCore JSON APIsRSS/atom vocabs triples OAI-PMH
  13. 13. open = ? free at the CC BYpoint of use metadata-only CC Zero machine- readable open content editable collaborative
  14. 14. use cases and business cases I find it is helpful to distinguish between use cases and business cases
  15. 15. situating your project in the data space: learning variables: GLAM maturity resources metadata standards metadata drivers activity & benefits research usage data data “paradata” shared concerns: DAT technologies A licensing issuesadministrative bibliographic skills and capacity data data appetite and demand etc! geo-data each project is unique OPEN DATA
  16. 16. EXAMPLE: JLeRNProgramme: Open EducationalResources Phase 3November 2011-July 2012£50,000 http://jlernexperiment.wordpress.com/
  17. 17. EXAMPLE: LOCAHProgramme: JISC ExpoDates£x http://blogs.ukoln.ac.uk/locah/
  18. 18. EXAMPLE: Huddersfield LibrariesProgramme: Activity DataDates£x http://library.hud.ac.uk/blogs/projects/lidp/
  19. 19. EXAMPLE: Cambridge LibrariesProgramme: Discovery: OpenBibliographic Data StrandDates£x http://data.lib.cam.ac.uk/datasets.php
  20. 20. EXAMPLE: YOUProgramme:Date:£
  21. 21. JISC Cross-Programme Discovery Workshop April 2012introductions
  22. 22. JISC Cross-Programme Discovery Workshop April 2012discopen Session objective: Explore possibilities offered by open data and address issues and highlight successful approaches14:00 The data space: a bit of context (15min) Introductions (max 45 min)15:00 Break15:15 Addressing the issues with open data .Facilitated Discussion around: •what technological approach is being taken to opening the data (e.g. API, RSS, linked data) •how are you tackling licensing and IPR issues? •what are some of the key lessons youre learning along the way? •anything you didnt anticipate? •are you aware of any other projects or initiatives which your work would overlap with?16:15 Break16:30 Distilling the discussion17:30 Close
  23. 23. JISC Cross-Programme Discovery Workshop April 2012Discussion
  24. 24. Your Projects• what technological approach is being taken to opening the data (e.g. API, RSS, linked data)• how are you tackling licensing and IPR issues?• what are some of the key lessons youre learning along the way?• anything you didnt anticipate?• are you aware of any other projects or initiatives which your work would overlap with?
  25. 25. JISC Cross-Programme Discovery Workshop April 2012discopen Session objective: Explore possibilities offered by open data and address issues and highlight successful approaches14:00 The data space: a bit of context (15min) Introductions (max 45 min)15:00 Break15:15 Addressing the issues with open data .Facilitated Discussion around: •what technological approach is being taken to opening the data (e.g. API, RSS, linked data) •how are you tackling licensing and IPR issues? •what are some of the key lessons youre learning along the way? •anything you didnt anticipate? •are you aware of any other projects or initiatives which your work would overlap with?16:15 Break16:30 Distilling the discussion17:30 Close
  26. 26. JISC Cross-Programme Discovery Workshop April 2012 ed uc dis da atio cov ta n e da and ry in ta ev rese e ry a w h rc h ere :discovery and open data #discopenAmber Thomas @ambroukProgramme Manager, JISC Digital Infrastructure Team excluding ppt template see slide 2

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