An introduction to open science for TrIAS

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An introduction to Open science for TrIAS Peter Desmet TrIAS kick-off meeting - Feb 13, 2017

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

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

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Open access

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Research outputs free of all restrictions on access (e.g. access tolls)

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Research outputs free of many restrictions on use (e.g. certain copyright & license restrictions)

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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

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Open data

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“Open data and content can be freely used, modified, and shared by anyone for any purpose”

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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

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GBIF provides free tools, documentation & services

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A word about licenses Frictionless open data vs credit

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Credit is a community issue

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Credit is a technical issue

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Credit is not a legal issue

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Licenses are needed to grant or clarify copyright permissions for creative works

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Creative Commons Licenses are widely used, standardized licenses

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CC0 for scientific data

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CC0 for biodiversity data

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CC0 for checklist data or Creative Commons Attribution

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Open source

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All developed software will be documented and released under a permissive open source license on GitHub. From the proposal

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Open methodology

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“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

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Aiming for Reproducibility

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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/

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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

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Why open?

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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

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Different from traditional approach

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Discoverability

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Credit

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Collaboration

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Reproducibility

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Sustainability

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That is why we choose Open by default

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That is why we choose Open science

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Thank you! @peterdesmet Desmet Peter (2017) An introduction to open science for TrIAS http://bit.ly/2kTaMs5