An introduction to open science for TrIAS

6f6914b1cdb438695ec1aaabba7463bb?s=47 Peter Desmet
February 13, 2017

An introduction to open science for TrIAS

Talk at the TrIAS kick-off meeting in Brussels, Belgium - February 13, 2017.

6f6914b1cdb438695ec1aaabba7463bb?s=128

Peter Desmet

February 13, 2017
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  1. An introduction to Open science for TrIAS Peter Desmet TrIAS

    kick-off meeting - Feb 13, 2017
  2. None
  3. Image by Andreas E. Neuhold bit.ly/2kWqAN9

  4. Image by Andreas E. Neuhold bit.ly/2kWqAN9

  5. Open access

  6. None
  7. Research outputs free of all restrictions on access (e.g. access

    tolls)
  8. Research outputs free of many restrictions on use (e.g. certain

    copyright & license restrictions)
  9. Academic publication: for datasets/checklists published through TrIAS, data papers to

    peer reviewed, open access journals will be considered. Also, significant results, protocols and insights that emerge from the research will also be published in open access journals. From the proposal
  10. None
  11. Open data

  12. None
  13. None
  14. “Open data and content can be freely used, modified, and

    shared by anyone for any purpose”
  15. All observation and checklist data will be published to GBIF

    using international standards, under a Creative Commons Zero waiver or Creative Commons Attribution license (CC-BY) and remain available after the project. From the proposal
  16. None
  17. None
  18. None
  19. None
  20. GBIF provides free tools, documentation & services

  21. None
  22. None
  23. A word about licenses Frictionless open data vs credit

  24. Credit is a community issue

  25. Credit is a technical issue

  26. Credit is not a legal issue

  27. Licenses are needed to grant or clarify copyright permissions for

    creative works
  28. Creative Commons Licenses are widely used, standardized licenses

  29. None
  30. CC0 for scientific data

  31. CC0 for biodiversity data

  32. CC0 for checklist data or Creative Commons Attribution

  33. Open source

  34. None
  35. None
  36. All developed software will be documented and released under a

    permissive open source license on GitHub. From the proposal
  37. None
  38. None
  39. None
  40. Open methodology

  41. (no logo)

  42. “An article about computational result is advertising, not scholarship. The

    actual scholarship is the full software environment, code and data, that produced the result.” Paraphrased by Buckheit & Donoho (1995) from Claerbout & Karrenbach 1992
  43. Aiming for Reproducibility

  44. None
  45. None
  46. None
  47. None
  48. None
  49. Auditable research made openly available. This comprises well-documented and fully

    open code and data that are publicly available that would allow one to (a) fully audit the computational procedure, (b) replicate and also independently reproduce the results of the research, and (c) extend the results or apply the method to new problems. Open or reproducible research From http://ropensci.github.io/reproducibility-guide/sections/introduction/
  50. While we cannot guarantee future availability of the human resources

    required to run TrIAS workflows, we will ensure that the workflows are created with long-term sustainability and reproducibility as their main design criteria. This includes ensuring these processes are simple to run, well documented, version-controlled, and tolerant of faults. In this manner we can ensure that future use of TrIAS products will require little input from the user and can be run in part or in whole, with a small investment of resources. We will also promote these open workflows internationally, to encourage use by IAS or other research communities. From the proposal
  51. Why open?

  52. Imagine a future where dynamically, from year to year, we

    can track the progression of alien species (AS), identify emerging species, assess their current and future risk and timely inform policy in a seamless data- driven workflow. One that is built on open science and open data infrastructures. By using international biodiversity standards and facilities, we would ensure interoperability, repeatability and sustainability. This would make the process adaptable to future requirements in an evolving IAS policy landscape both locally and internationally. From the proposal
  53. Different from traditional approach

  54. Discoverability

  55. Credit

  56. Collaboration

  57. Reproducibility

  58. Sustainability

  59. That is why we choose Open by default

  60. That is why we choose Open science

  61. Thank you! @peterdesmet Desmet Peter (2017) An introduction to open

    science for TrIAS http://bit.ly/2kTaMs5