Methods in Ecology and Evolution, Volume (14), No (2), Year (2023-2) , Pages (444-458)

Title : ( Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences )

Authors: Alexander Keller , Markus J. Ankenbrand , Helge Bruelheide , Stefanie Dekeyzer , Brian J. Enquist , M. Bagher Erfanian , Daniel S. Falster , Rachael V. Gallagher , Jennifer Hammock , Jens Kattge ,

Citation: BibTeX | EndNote

Abstract

1. 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. 2. 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. 3. 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. 4. 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

Keywords

, data life cycle, data science, FAIR principles, good practices, metadata, open science, phenotype, trait data
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@article{paperid:1098064,
author = {الکساندر کلر and مارکوس آنکنبرند and Helge Bruelheide and Stefanie Dekeyzer and Brian J. Enquist and Erfanian, M. Bagher and Daniel S. Falster and Rachael V. Gallagher and Jennifer Hammock and Jens Kattge},
title = {Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences},
journal = {Methods in Ecology and Evolution},
year = {2023},
volume = {14},
number = {2},
month = {February},
issn = {2041-210X},
pages = {444--458},
numpages = {14},
keywords = {data life cycle; data science; FAIR principles; good practices; metadata; open science; phenotype; trait data},
}

[Download]

%0 Journal Article
%T Ten (mostly) simple rules to future‐proof trait data in ecological and evolutionary sciences
%A الکساندر کلر
%A مارکوس آنکنبرند
%A Helge Bruelheide
%A Stefanie Dekeyzer
%A Brian J. Enquist
%A Erfanian, M. Bagher
%A Daniel S. Falster
%A Rachael V. Gallagher
%A Jennifer Hammock
%A Jens Kattge
%J Methods in Ecology and Evolution
%@ 2041-210X
%D 2023

[Download]