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An introduction to open science for TrIAS

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.

Peter Desmet

February 13, 2017

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  1. 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
  2. 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
  3. All developed software will be documented and released under a

    permissive open source license on GitHub. From the proposal
  4. “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
  5. 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/
  6. 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
  7. 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