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10.28.16 Licensing Your Research Data

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Issues to consider when moving beyond just making research data "available"--and actually licensing your research data. Why, when, and how should you license your research data?

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10.28.16 Licensing Your Research Data

  1. 1. Rachael G. Samberg orcid.org/0000-0003-0643-2405 28 Oct. 2016
  2. 2. Courtesy CBS Television Distribution http://tvline.com/2016/08/03/star-trek-discovery-returning-cast-the-next-generation-data-brent-spiner/
  3. 3. •  Transparency •  Funder mandates •  Increase scholarly impact •  Downstream innovation •  Support the commons
  4. 4. Culprit Courtesy DGWildlife, http://www.nydailynews.com/news/national/ vicious-squirrel-attacks-8-people-california-article-1.2454989
  5. 5. •  What agreements did you enter into? •  Employment agreements / works for hire •  UC Berkeley: © policies plus Academic Personnel Manual •  Grant terms / sponsored projects By Crisco 1492, CC-BY 2.0
  6. 6. •  How did you create the data? •  Licensed database? •  Website or repository? •  Other researchers’ work? •  Interviews & observations? By Nickomargolies, CC BY 2.5 I’m not as cute as I look
  7. 7. • Contracts •  EULAs / terms of use •  Employment contracts •  Funding agreements
  8. 8. • Copyright •  Exclusive rights, limited period of time •  Not facts/ideas, but not all facets of data sets “pure” facts
  9. 9. • Trade secrets •  Info derives $ value from not being generally known •  Must be subject to reasonable protection measures
  10. 10. • Privacy •  Core principal of ethical research and law of many countries •  Precautions to anonymize or protect enough to license reuse?
  11. 11. • “Sui generis” database rights (EU and South Korea) •  Property right rewarding effort in obtaining data •  Non-commercial exception •  An EU/SK-created database, used in EU/SK
  12. 12. • International variations • Separate issue of embargoes for future patents
  13. 13. • Protects of ideas, themselves. But… •  Facts vs. compilations •  Expressive & qualitative data •  (Thin) layers of protection for databases •  Expressive data •  Organizational structures •  Descriptive metadata
  14. 14. CC0 (Waiver) Public Domain (Label) CC-BY (License)
  15. 15. • Avoid ambiguity •  or if you can can à confusion •  License doesn’t cover facts, so what’s protected? •  Even CC-By doesn’t require attribution for non-© facts •  Scholarly norms suggest attribution regardless
  16. 16. Sample Repository Terms •  DataONE Dash = released to public domain under CC waiver (CC0) •  UC Dash = released under CC attribution license (CC-By)
  17. 17. rsamberg@berkeley.edu Or, contact the RDM Consulting team at: researchdata@berkeley.edu
  18. 18. BioMed Central (2016). Policies – Open Data. Available at https://www.biomedcentral.com/about/policies/open-data. Briney, K., Goben, A., & Zilinski, L. (2015) Do you have an institutional data policy? A review of the current landscape of library data services and institituional data policies. Journal of Librarianship and Scholarly Communication, 3(2), eP1232, http://dx.doi.org/10.7710/2162-3309.1232. Carroll, M.W. (2015). Sharing research data and intellectual property law: A primer. PLOS Biol, 13(8): e1002235. doi: 10.1371/journal.pbiol.1002235. Fortney, K. (2016, Sep 8). Who ‘owns’ your data? Office of Scholarly Communication Blog, available at http://osc.universityofcalifornia.edu/2016/09/who-owns-your-data/. Fortney, K. (2016, Sep 15). CC By & data: Not always a good fit. Office of Scholarly Communication Blog, available at http://osc.universityofcalifornia.edu/2016/09/who-owns-your-data/. Levine, M. (2014). Copyright, open data, and the availability-usability gap, in Research Data Management: Practical Strategies for Information Professionals (J.M. Ray, ed.), Purdue, In.: Purdue University Press. Nimmer et al. (2015). Nimmer on Copyright, 8-4, Section 102. Open Knowledge Foundation (n.d.) Why open data? Available at https://okfn.org/opendata/why-open-data/. RDA-CODATA Legal Interoperability Interest Group (2016 Oct 20). Legal interoperability of research data: Principles and implementation guidelines. Available at https://zenodo.org/record/162241#.WBNkluErKL8 Smith M. (2014). Data governance: Where technology and policy collide, in Research Data Management: Practical Strategies for Information Professionals (J.M. Ray, ed.), Purdue, In.: Purdue University Press.

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