Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
| one publication added to basket [359449] |
Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences
Keller, A.; Ankenbrand, M.J.; Bruelheide, H.; Dekeyzer, S.; Enquist, B.J.; Erfanian, M.B.; Falster, D.S.; Gallagher, R.V.; Hammock, J.; Kattge, J.; Leonhardt, S.D.; Madin, J.S.; Maitner, B.; Neyret, M.; Onstein, R.E.; Pearse, W.D.; Poelen, J.H.; Salguero-Gómez, R.; Schneider, F.D.; Tóth, A.B.; Penone, C. (2023). Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences. Methods Ecol. Evol. 14(2): 444-458. https://dx.doi.org/10.1111/2041-210x.14033
In: Methods in Ecology and Evolution. Wiley: Hoboken. ISSN 2041-2096; e-ISSN 2041-210X
|   |
| Trefwoord |
|
| Author keywords |
data life cycle, data science, FAIR principles, good practices, metadata, open science, phenotype, trait daata |
| Auteurs | | Top |
- Keller, A.
- Ankenbrand, M.J.
- Bruelheide, H.
- Dekeyzer, S.
- Enquist, B.J.
- Erfanian, M.B.
- Falster, D.S.
|
- Gallagher, R.V.
- Hammock, J.
- Kattge, J.
- Leonhardt, S.D.
- Madin, J.S.
- Maitner, B.
- Neyret, M.
|
- Onstein, R.E.
- Pearse, W.D.
- Poelen, J.H.
- Salguero-Gómez, R.
- Schneider, F.D.
- Tóth, A.B.
- Penone, C.
|
| Abstract |
- Traits have become a crucial part of ecological and evolutionary sciences, helping researchers understand the function of an organism's morphology, physiology, growth and life history, with effects on fitness, behaviour, interactions with the environment and ecosystem processes. However, measuring, compiling and analysing trait data comes with data-scientific challenges.
- We offer 10 (mostly) simple rules, with some detailed extensions, as a guide in making critical decisions that consider the entire life cycle of trait data.
- This article is particularly motivated by its last rule, that is, to propagate good practice. It has the intention of bringing awareness of how data on the traits of organisms can be collected and managed for reuse by the research community.
- Trait observations are relevant to a broad interdisciplinary community of field biologists, synthesis ecologists, evolutionary biologists, computer scientists and database managers. We hope these basic guidelines can be useful as a starter for active communication in disseminating such integrative knowledge and in how to make trait data future-proof. We invite the scientific community to participate in this effort at http://opentraits.org/best-practices.html.
|
IMIS is ontwikkeld en wordt gehost door het VLIZ.
