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Data Sharing: Social and Normative - ISWC
This document summarizes the challenges of sharing data on the internet in a legally and technically interoperable way. It discusses how social and legal issues like licensing, attribution, and copyright impact data sharing. It argues that an integrated approach is needed that makes sharing easy, legal and scalable through building infrastructure, using open standards, and treating data as a network resource rather than intellectual property. Norms and terms of use may be better than licenses to promote sharing while avoiding restrictions that limit downstream use and interoperability.
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Data Sharing: Social and Normative - ISWC
- 1. data sharing: social andnormative kaitlin thaney program manager, science commons chantilly, va - ISWC - 25 oct 2009 This presentation is licensed under the CreativeCommons-Attribution-3.0 license.
- 2. make sharing easy,legal and scalable integrated approach building part of the infrastructure for knowledge sharing
- 3. I am nota lawyer. (first things first)
- 4. social and normativeissues human involvement, added roadblocks implications of FLOSS interoperability, design decisions how to navigate?
- 5.
- 6. needs to belegally and technically accessible
- 7. “ By openaccess to the literature, we mean its free availability on the public internet, permitting users to read, download, copy, distribute, print, search, or link to the full texts of the articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal or technical barriers other than those inseparable from gaining access to the internet itself.” Image from the Public Library of Science, licensed to the public, under CC-BY-3.0
- 8. as a meansto achieve Open Access but what about data?
- 9. knowledge? journal articles data ontologies annotations plasmids and cell lines
- 10. knowledge? journal articles data ontologies annotations plasmids and cell lines ... how to treat? like content? software?
- 11. early days ofWWW no licenses (even free) debate over code CERN’s decision view/edit source network effects
- 12. the data web still in its infancy ...
- 13. “the future ishere ... just unevenly distributed” - william gibson (i.e., linked data, W3C, neurocommons...)
- 14. (social) implications of FLOSS toggles
- 15. free/libre license ethos notionof licensing to make more free
- 16.
- 17.
- 18.
- 19.
- 20.
- 21. the problem of... Non-Commercial for data
- 22. Non-Commercial what’s a commercialuse of the data web?
- 23. the problem of... Share Alike for data
- 24. issue of licenseproliferation whatever you do to the least of the databases, you do to the integrated system (the most restrictive wins) risk for unintended consequences
- 25. the problem of... Attribution for data
- 28. social aspect ofsemantics
- 29. agreement ishard.
- 32. espresso coffee cafe kopi cafezinho latte koffee mocha americano
- 33. “choice” or interoperability. (pick one)
- 34. converge on commonnames “coffee” “cafe” coffee “kopi” http://ontology.foo.org/1234567
- 37. national law hurdles sui generis, “sweat of the brow” Crown copyright “level of skill” how internat’l data sharing efforts are affected?
- 38. protection instinct /culture of control quality control, integrity concerns “my data”, interpretation issues fear, uncertainty, doubt (FUD)
- 39. <mosquitos><transmit><malaria> validation, provenance relationship mapping, citation? what rights? still not fully automated
- 40.
- 41. a non-license meansto request certain behavior community norms best practices, terms of use
- 42. attribution vs. citation whichone applies? which is best fit? what’s the difference? “credit where credit is due”
- 43. attribution “the requirementto acknowledge or credit the author of a work which is used or appears in another work” citation “reference to a published or unpublished source” ... prime purpose is of “intellectual honesty” (via wikipedia)
- 44. attribution: (legal entity) “triggered by making of a copy” does it apply to facts? how? (papers, ontologies, data) “in a manner specified by ...” attribution stacking
- 45. how to perform? how much is enough? unintentional infringement (example, ontologies) does it apply?
- 46. citation: (gentle(wo)man’s club) legal requirement? interoperability? credit where credit is due entrenched scientific norm
- 47. we shouldn’t usethe law to make it hard to do the wrong thing ...
- 48. need for alegally accurate and simple solution reducing or eliminating the need to make the distinction of what’s protected requires modular, standards based approach to licensing
- 51. calls for dataproviders to waive all rights necessary for data extraction and re-use requires provider place no additional obligations (like share-alike) to limit downstream use request behavior (like attribution) through norms and terms of use
- 54. ... must promotelegal predictability and certainty. ... must be easy to use and understand. ... must impose the lowest possible transaction costs on users. full text: http://sciencecommons.org/projects/publishing/open-access-data-protocol/
- 55. set of principles(not license) open, accessible, interoperable know it’s safe to play
- 56. impose “toggles” throughnorms, terms of use best fit for the discipline doesn’t limit downstream use
- 57. at best, we’repartially right. at worst, we’re really wrong.
- 58. resist the temptationto treat as property embrace the potential to treat instead as a network resource
- 59. scalability is key “getlaw out of the way” build + allow for network effects
- 60. the right tofix our mistakes.
- 61.
- 62. thank you. kaitlin@creativecommons.org sciencecommons.org creativecommons.org slideshare.net/kaythaney