Oszako, Tomasz

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Author's Bibliography

Seven Recommendations to Make Your Invasive Alien Species Data More Useful

Groom, Quentin J.; Adriaens, Tim; Desmet, Peter; Simpson, Annie; De Wever, Aaike; Bazos, Ioannis; Cardoso, Ana Cristina; Lucinda, Charles; Christopoulou, Anastasia; Gazda, Anna; Helmisaari, Harry; Hobern, Donald; Josefsson, Melanie; Frances, Lucy; Marisavljević, Dragana; Oszako, Tomasz; Pergl, Jan; Petrović-Obradović, Olivera; Céline, Prévot; Ravn, Hans P.; Gareth, Richards; Roques, Alain; Roy, Helen E.; Rozenberg, Marie-Anne A.; Scalera, Riccardo; Tricarico, Elena; Trichkova, Teodora; Vercayie, Diemer; Zenetos, Argyro; Vanderhoeven, Sonia

(2017)

TY  - JOUR
AU  - Groom, Quentin J.
AU  - Adriaens, Tim
AU  - Desmet, Peter
AU  - Simpson, Annie
AU  - De Wever, Aaike
AU  - Bazos, Ioannis
AU  - Cardoso, Ana Cristina
AU  - Lucinda, Charles
AU  - Christopoulou, Anastasia
AU  - Gazda, Anna
AU  - Helmisaari, Harry
AU  - Hobern, Donald
AU  - Josefsson, Melanie
AU  - Frances, Lucy
AU  - Marisavljević, Dragana
AU  - Oszako, Tomasz
AU  - Pergl, Jan
AU  - Petrović-Obradović, Olivera
AU  - Céline, Prévot
AU  - Ravn, Hans P.
AU  - Gareth, Richards
AU  - Roques, Alain
AU  - Roy, Helen E.
AU  - Rozenberg, Marie-Anne A.
AU  - Scalera, Riccardo
AU  - Tricarico, Elena
AU  - Trichkova, Teodora
AU  - Vercayie, Diemer
AU  - Zenetos, Argyro
AU  - Vanderhoeven, Sonia
PY  - 2017
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4513
AB  - Science-based strategies to tackle biological invasions depend on recent, accurate, well-documented, standardized and openly accessible information on alien species. Currently and historically, biodiversity data are scattered in numerous disconnected data silos that lack interoperability. The situation is no different for alien species data, and this obstructs efficient retrieval, combination, and use of these kinds of information for research and policy-making. Standardization and interoperability are particularly important as many alien species related research and policy activities require pooling data. We describe seven ways that data on alien species can be made more accessible and useful, based on the results of a European Cooperation in Science and Technology (COST) workshop: (1) Create data management plans; (2) Increase interoperability of information sources; (3) Document data through metadata; (4) Format data using existing standards; (5) Adopt controlled vocabularies; (6) Increase data availability; and (7) Ensure long-term data preservation. We identify four properties specific and integral to alien species data (species status, introduction pathway, degree of establishment, and impact mechanism) that are either missing from existing data standards or lack a recommended controlled vocabulary. Improved access to accurate, real-time and historical data will repay the long-term investment in data management infrastructure, by providing more accurate, timely and realistic assessments and analyses. If we improve core biodiversity data standards by developing their relevance to alien species, it will allow the automation of common activities regarding data processing in support of environmental policy. Furthermore, we call for considerable effort to maintain, update, standardize, archive, and aggregate datasets, to ensure proper valorization of alien species data and information before they become obsolete or lost.
T2  - Fronitiers in Applied Mathematics and Statistics
T1  - Seven Recommendations to Make Your Invasive Alien Species Data More Useful
VL  - 3
DO  - 10.3389/fams.2017.00013
ER  - 
@article{
author = "Groom, Quentin J. and Adriaens, Tim and Desmet, Peter and Simpson, Annie and De Wever, Aaike and Bazos, Ioannis and Cardoso, Ana Cristina and Lucinda, Charles and Christopoulou, Anastasia and Gazda, Anna and Helmisaari, Harry and Hobern, Donald and Josefsson, Melanie and Frances, Lucy and Marisavljević, Dragana and Oszako, Tomasz and Pergl, Jan and Petrović-Obradović, Olivera and Céline, Prévot and Ravn, Hans P. and Gareth, Richards and Roques, Alain and Roy, Helen E. and Rozenberg, Marie-Anne A. and Scalera, Riccardo and Tricarico, Elena and Trichkova, Teodora and Vercayie, Diemer and Zenetos, Argyro and Vanderhoeven, Sonia",
year = "2017",
abstract = "Science-based strategies to tackle biological invasions depend on recent, accurate, well-documented, standardized and openly accessible information on alien species. Currently and historically, biodiversity data are scattered in numerous disconnected data silos that lack interoperability. The situation is no different for alien species data, and this obstructs efficient retrieval, combination, and use of these kinds of information for research and policy-making. Standardization and interoperability are particularly important as many alien species related research and policy activities require pooling data. We describe seven ways that data on alien species can be made more accessible and useful, based on the results of a European Cooperation in Science and Technology (COST) workshop: (1) Create data management plans; (2) Increase interoperability of information sources; (3) Document data through metadata; (4) Format data using existing standards; (5) Adopt controlled vocabularies; (6) Increase data availability; and (7) Ensure long-term data preservation. We identify four properties specific and integral to alien species data (species status, introduction pathway, degree of establishment, and impact mechanism) that are either missing from existing data standards or lack a recommended controlled vocabulary. Improved access to accurate, real-time and historical data will repay the long-term investment in data management infrastructure, by providing more accurate, timely and realistic assessments and analyses. If we improve core biodiversity data standards by developing their relevance to alien species, it will allow the automation of common activities regarding data processing in support of environmental policy. Furthermore, we call for considerable effort to maintain, update, standardize, archive, and aggregate datasets, to ensure proper valorization of alien species data and information before they become obsolete or lost.",
journal = "Fronitiers in Applied Mathematics and Statistics",
title = "Seven Recommendations to Make Your Invasive Alien Species Data More Useful",
volume = "3",
doi = "10.3389/fams.2017.00013"
}
Groom, Q. J., Adriaens, T., Desmet, P., Simpson, A., De Wever, A., Bazos, I., Cardoso, A. C., Lucinda, C., Christopoulou, A., Gazda, A., Helmisaari, H., Hobern, D., Josefsson, M., Frances, L., Marisavljević, D., Oszako, T., Pergl, J., Petrović-Obradović, O., Céline, P., Ravn, H. P., Gareth, R., Roques, A., Roy, H. E., Rozenberg, M. A., Scalera, R., Tricarico, E., Trichkova, T., Vercayie, D., Zenetos, A.,& Vanderhoeven, S.. (2017). Seven Recommendations to Make Your Invasive Alien Species Data More Useful. in Fronitiers in Applied Mathematics and Statistics, 3.
https://doi.org/10.3389/fams.2017.00013
Groom QJ, Adriaens T, Desmet P, Simpson A, De Wever A, Bazos I, Cardoso AC, Lucinda C, Christopoulou A, Gazda A, Helmisaari H, Hobern D, Josefsson M, Frances L, Marisavljević D, Oszako T, Pergl J, Petrović-Obradović O, Céline P, Ravn HP, Gareth R, Roques A, Roy HE, Rozenberg MA, Scalera R, Tricarico E, Trichkova T, Vercayie D, Zenetos A, Vanderhoeven S. Seven Recommendations to Make Your Invasive Alien Species Data More Useful. in Fronitiers in Applied Mathematics and Statistics. 2017;3.
doi:10.3389/fams.2017.00013 .
Groom, Quentin J., Adriaens, Tim, Desmet, Peter, Simpson, Annie, De Wever, Aaike, Bazos, Ioannis, Cardoso, Ana Cristina, Lucinda, Charles, Christopoulou, Anastasia, Gazda, Anna, Helmisaari, Harry, Hobern, Donald, Josefsson, Melanie, Frances, Lucy, Marisavljević, Dragana, Oszako, Tomasz, Pergl, Jan, Petrović-Obradović, Olivera, Céline, Prévot, Ravn, Hans P., Gareth, Richards, Roques, Alain, Roy, Helen E., Rozenberg, Marie-Anne A., Scalera, Riccardo, Tricarico, Elena, Trichkova, Teodora, Vercayie, Diemer, Zenetos, Argyro, Vanderhoeven, Sonia, "Seven Recommendations to Make Your Invasive Alien Species Data More Useful" in Fronitiers in Applied Mathematics and Statistics, 3 (2017),
https://doi.org/10.3389/fams.2017.00013 . .
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