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Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results

Research output: Contribution to conferencePaper/Powerpoint/Abstract

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Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results. / Groom, Quentin; Vanderhoeven, Sonia; Reyserhove, Lien; Oldoni, Damiano; Adriaens, Tim; Desmet, Peter.

2018. 104 Paper presented at 10th International Conference on Ecological Informatics, Jena, Germany.

Research output: Contribution to conferencePaper/Powerpoint/Abstract

Harvard

Groom, Q, Vanderhoeven, S, Reyserhove, L, Oldoni, D, Adriaens, T & Desmet, P 2018, 'Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results', Paper presented at 10th International Conference on Ecological Informatics, Jena, Germany, 24/09/18 - 28/09/18 pp. 104.

APA

Groom, Q., Vanderhoeven, S., Reyserhove, L., Oldoni, D., Adriaens, T., & Desmet, P. (2018). Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results. 104. Paper presented at 10th International Conference on Ecological Informatics, Jena, Germany.

Author

Groom, Quentin ; Vanderhoeven, Sonia ; Reyserhove, Lien ; Oldoni, Damiano ; Adriaens, Tim ; Desmet, Peter. / Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results. Paper presented at 10th International Conference on Ecological Informatics, Jena, Germany.1 p.

Bibtex

@conference{b24914a7af924f729b6c99ebc726fdcc,
title = "Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results",
abstract = "Informing policy on invasive species requires rapid mobilization of biodiversity data from many sources and converting these raw data into simple metrics and reliable information. Yet the data are collected by a wide variety of actors, both professional and amateur, and they are often divided by political and language barriers. Belgium is typical in that sense, we struggle with the fragmented data sources and restrictions on data mobility, while trying to answer the policy needs at both national and local levels. In 2017 we launched the TrIAS project that aims to resolve some of these problems. We envisage a future where data are rapidly mobilized, the spread of exotic species is regularly monitored, future risks are evaluated and potential impacts assessed [1]. In many ways we have similar aims to GFBio, though we may have found different solutions to the same problems. TrIAS is building workflows that openly publish species information and primary biodiversity data, then harvest those and other data, to create indicators, predictive models and policy support documentation. TrIAS is a consortium of 12 Belgian institutions together with another 9 stakeholder organizations. We aim to address terrestrial, freshwater and marine environments. The organizations involved include those involved in citizen science, pure and applied research, and wildlife management. TrIAS is an open science project; all the software are shared under an MIT Licence; all the data are shared under a CC0 licence waiver and all the documentation is shared under Creative Commons licenses. The hope is that this approach will contribute to the post-project sustainability, because the data and software can all be reused as a whole or in part, either in Belgium, or anywhere else it is needed. Such reuse need not be confined to alien species monitoring, but there is also a need for repeatability and rapid mobilization in other fields, such as red-listing of conservation worthy species.",
author = "Quentin Groom and Sonia Vanderhoeven and Lien Reyserhove and Damiano Oldoni and Tim Adriaens and Peter Desmet",
year = "2018",
month = "9",
day = "28",
language = "English",
pages = "104",
note = "null ; Conference date: 24-09-2018 Through 28-09-2018",
url = "https://icei2018.uni-jena.de/",

}

RIS

TY - CONF

T1 - Publishing and analysing biodiversity data rapidly, repeatably and FAIR-ly for agile policy relevant results

AU - Groom, Quentin

AU - Vanderhoeven, Sonia

AU - Reyserhove, Lien

AU - Oldoni, Damiano

AU - Adriaens, Tim

AU - Desmet, Peter

PY - 2018/9/28

Y1 - 2018/9/28

N2 - Informing policy on invasive species requires rapid mobilization of biodiversity data from many sources and converting these raw data into simple metrics and reliable information. Yet the data are collected by a wide variety of actors, both professional and amateur, and they are often divided by political and language barriers. Belgium is typical in that sense, we struggle with the fragmented data sources and restrictions on data mobility, while trying to answer the policy needs at both national and local levels. In 2017 we launched the TrIAS project that aims to resolve some of these problems. We envisage a future where data are rapidly mobilized, the spread of exotic species is regularly monitored, future risks are evaluated and potential impacts assessed [1]. In many ways we have similar aims to GFBio, though we may have found different solutions to the same problems. TrIAS is building workflows that openly publish species information and primary biodiversity data, then harvest those and other data, to create indicators, predictive models and policy support documentation. TrIAS is a consortium of 12 Belgian institutions together with another 9 stakeholder organizations. We aim to address terrestrial, freshwater and marine environments. The organizations involved include those involved in citizen science, pure and applied research, and wildlife management. TrIAS is an open science project; all the software are shared under an MIT Licence; all the data are shared under a CC0 licence waiver and all the documentation is shared under Creative Commons licenses. The hope is that this approach will contribute to the post-project sustainability, because the data and software can all be reused as a whole or in part, either in Belgium, or anywhere else it is needed. Such reuse need not be confined to alien species monitoring, but there is also a need for repeatability and rapid mobilization in other fields, such as red-listing of conservation worthy species.

AB - Informing policy on invasive species requires rapid mobilization of biodiversity data from many sources and converting these raw data into simple metrics and reliable information. Yet the data are collected by a wide variety of actors, both professional and amateur, and they are often divided by political and language barriers. Belgium is typical in that sense, we struggle with the fragmented data sources and restrictions on data mobility, while trying to answer the policy needs at both national and local levels. In 2017 we launched the TrIAS project that aims to resolve some of these problems. We envisage a future where data are rapidly mobilized, the spread of exotic species is regularly monitored, future risks are evaluated and potential impacts assessed [1]. In many ways we have similar aims to GFBio, though we may have found different solutions to the same problems. TrIAS is building workflows that openly publish species information and primary biodiversity data, then harvest those and other data, to create indicators, predictive models and policy support documentation. TrIAS is a consortium of 12 Belgian institutions together with another 9 stakeholder organizations. We aim to address terrestrial, freshwater and marine environments. The organizations involved include those involved in citizen science, pure and applied research, and wildlife management. TrIAS is an open science project; all the software are shared under an MIT Licence; all the data are shared under a CC0 licence waiver and all the documentation is shared under Creative Commons licenses. The hope is that this approach will contribute to the post-project sustainability, because the data and software can all be reused as a whole or in part, either in Belgium, or anywhere else it is needed. Such reuse need not be confined to alien species monitoring, but there is also a need for repeatability and rapid mobilization in other fields, such as red-listing of conservation worthy species.

UR - https://doi.org/10.5281/zenodo.1438459

UR - https://icei2018.uni-jena.de/wp-content/uploads/2018/08/paper_53.docx

M3 - Paper/Powerpoint/Abstract

SP - 104

ER -

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