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Open Knowledge and the Benefits for University-based Research


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This presentation was a part of the 2014 Open Access Week Seminars at The University of Queensland Library. Anna Gerber, Technical Project Manager ITEE eResearch Lab at The University of Queensland, shares her insights into the benefits of open data, open access, open source and open learning in the context of university-based research. Anna highlighted the possibilities for the formation of new collaborations with researchers and policy makers and the innovation that can result from making research more discoverable in an online environment. Anna also introduced the audience to the Open Knowledge Foundation (of which she is an Australian Ambassador), a community initiative that seeks to bring together open knowledge groups from across Australia, in an effort to foster the sharing of data, information and knowledge.

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Open Knowledge and the Benefits for University-based Research

  1. 1. Open Knowledge and the benefits for University-based research Anna Gerber ITEE eResearch The University of Queensland
  2. 2. Open Knowledge Foundation Promoting the creation, sharing and application of Open Knowledge
  3. 3. What is Open Knowledge? "Open knowledge is what open data becomes when it’s useful, usable and used." - Open Knowledge Foundation
  4. 4. The Knowledge Hierarchy Data => Knowledge Knowledge => Action
  5. 5. Knowledge is power em ment Open
  6. 6. Why Open Knowledge? ! Empowering citizens, businesses, researchers ! Build on existing research, facilitate new discoveries from old data ! Transparency ! Allow re-analysis, verification, repeatability ! Creating social and commercial value ! Visibility ! Encouraging research collaboration, participation and engagement ! Citation
  7. 7. Why Not Open Knowledge? ! Personal vs Non-personal data ! Confidentiality ! Ethics ! Cultural sensitivity ! Legal reasons ! Commercial reasons
  8. 8. Open Knowledge within Universities ! Research publications ! Published articles ! Pre-print articles and technical papers ! Published through open access publishers or self-archived in institutional repositories or field-specific repositories like ! Research data ! Raw data ! Processed data
  9. 9. The Open Definition "Knowledge is open if anyone is free to access, use, modify, and share it — subject, at most, to measures that preserve provenance and openness." - The Open Definition
  10. 10. Key Features of Openness ! Universal ! Access ! Reuse and redistribution
  11. 11. Universal ! Anyone means anyone! ! Not restricted by purpose or field of endeavour ! Not subject to commercial restriction
  12. 12. Open Access ! Data and publications available as a whole ! Available at reasonable cost (i.e. no more than costs of reproduction, distribution) ! Preferably available online
  13. 13. Reuse and redistribution ! Data and publications available in convenient, standard formats ! Data available in modifiable, machine readable formats ! Data available in bulk ! Data available under an open license that permits re-use
  14. 14. Open Science Panton Principles (1/2) ! Panton Principles ! ! When publishing data make an explicit and robust statement of your wishes. ! Use a recognized waiver or license that is appropriate for data.
  15. 15. Panton Principles (2/2) ! If you want your data to be effectively used and added to by others it should be open as defined by the Open Knowledge/Data Definition – in particular non-commercial and other restrictive clauses should not be used. ! Explicit dedication of data underlying published science into the public domain via PDDL or CCZero is strongly recommended and ensures compliance with both the Science Commons Protocol for Implementing Open Access Data and the Open Knowledge/Data Definition.
  16. 16. Open Source ! Open access to tools for producing, processing, analyzing and publishing research data are key to the uptake of Open Knowledge in research ! Open Source Software ! Open Source Hardware ! Provide transparency as to how raw data was processed ! Particularly important for data preservation: ensuring long-term universal access to complex data published via custom data formats
  17. 17. Open Learning ! Open educational resources (OER) ! Resources for teaching and learning provided under open licenses ! Empower non-experts to understand how to interpret and apply open research data to solve problems
  18. 18. Open Access Policies ! Many Institutions and funding bodies such as the ARC or NHMRC have Open Access Policies ! Search policies by funding body: ! ! UQ's Open Access for UQ Research Outputs Policy ! Publications should be published via UQ espace as soon as possible after publication, within 12 months
  19. 19. Data is a platform Data becomes knowledge when it is useful, usable, used
  20. 20. How to Publish Open Research Data? Before Data has been collected 1. Obtain permission to share data when obtaining informed consent if working with human research 2. Be clear about who owns and has the right to publish the data After Data has been collected 1. Decide whether it is useful or appropriate to publish the data 2. Anonymise data as appropriate 3. Select an open license 4. Make the data available 5. Make the data discoverable
  21. 21. Describing Open Data ! Metadata (data describing data) is crucial for ensuring your research data can be: ! Discovered ! Re-used ! Shared ! Cited ! Preserved ! Use standard metadata schemas such as Dublin Core and open machine-readable formats for the data itself to ensure your data will remain usable long-term
  22. 22. Where to Publish? ! UQ eSpace ! Domain-specific data repositories Need help? ! Talk to your librarian ! Read ANDS Guides ! ! Read Open Data Handbook ! ! Learn about Open Knowledge from OKFN AU
  23. 23. What does the OKF do? ! Providing a bridge between open communities ! Promoting open knowledge ! Building networks through meetups & events ! Campaigning to open key data ! Developing open knowledge projects ! Providing infrastructure for open knowledge projects e.g. web hosting, CKAN software
  24. 24. Bridging Communities ! Hackers ! Hackerspaces, Makerspaces, Developer Meetups ! Open Government ! Gov 2.0, GovCamp, AusGoal Practitioners ! Data Journalists ! Hacks/Hackers ! Researchers ! NeCTAR OpenStack, Universities ! Citizens ! OKF Volunteers
  25. 25. OKF AU Governance
  26. 26. Software: CKAN ! Comprehensive Knowledge Archive Network (CKAN) ! Open Source Open Data Portal software developed by OKFN ! Used by many open data portals worldwide e.g. project and
  27. 27. Software: Annotator ! Developed by OKFN for Open Shakespeare project ! Extended by UQ eResearch to support Open Annotation in the context of humanities research and scholarly editing
  28. 28. Meetups Open Knowledge Brisbane Knowledge-Brisbane-Meetup-Group/ Workshops, debates, social events
  29. 29. Events: GovHack ! 48 hour hackathon held annually each July: ! 11 cities ! Over 1300 participants ! $256,000 in prizes ! Participants develop apps, web sites and data visualisations using open Government data
  30. 30. Example GovHack Projects ! ~200 projects developed over 48 hour period: ! AussieMon – UQ student project - Australian native animal card game (like Pokemon) ! When the heck am I? – overlays historical photos ! Stat.Map – 3D based visualisations of open spatial data from ABS etc ! Show the gap – visualises disparity between Indigenous and Non-Indigenous Australians
  31. 31. UQ @ GovHack ! UQ student teams won several national and local prizes including overall Best University Team
  32. 32. Events: Health Hack Data hack for solving medical research problems
  33. 33. AU Projects: Hipster Map ! Community-developed and maintained map of "hipster" locations around Melbourne !
  34. 34. Thanks Contact: Anna Gerber ITEE eResearch, UQ