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Ecological Data Should Not Be So Hard to Find and Reuse.

Author(s): Poisot T, Bruneau A, Gonzalez A, Gravel D, Peres-Neto P

Trends Ecol Evol. 2019 May 02;: Authors: Poisot T, Bruneau A, Gonzalez A, Gravel D, Peres-Neto P

Article GUID: 31056219
Title:Ecological Data Should Not Be So Hard to Find and Reuse.
Authors:Poisot T,  Bruneau A,  Gonzalez A,  Gravel D,  Peres-Neto P
Link:https://www.ncbi.nlm.nih.gov/pubmed/31056219?dopt=Abstract
Category:Trends Ecol Evol
PMID:31056219
Dept Affiliation: CONCORDIA
1 Université de Montréal, Département de Sciences Biologiques, Pavillon Marie-Victorin 90, Avenue Vincent-d'IndyMontréal, (Québec) H2V 2S9, Canada. Electronic address: timothee.poisot@umontreal.ca.
2 Université de Montréal, Département de Sciences Biologiques, Pavillon Marie-Victorin 90, Avenue Vincent-d'IndyMontréal, (Québec) H2V 2S9, Canada; Institut de recherche en biologie végétale, 4101 Sherbrooke Est, Montréal, (QC), H1X 2B2, Canada.
3 McGill University, Department of Biology, 1205 Docteur Penfield, Montreal, (QC), H3A 1B1, Canada.
4 Université de Sherbrooke, Département de Biologie, 2500 Boulevard Université, Sherbrooke, (QC), J1K 2R1, Canada.
5 Concordia University, Department of Biology, 7141 Sherbrooke Street West, Montreal, (QC), H4B 1R6, Canada.

Description:

Ecological Data Should Not Be So Hard to Find and Reuse.

Trends Ecol Evol. 2019 May 02;:

Authors: Poisot T, Bruneau A, Gonzalez A, Gravel D, Peres-Neto P

Abstract

Drawing upon the data deposited in publicly shared archives has the potential to transform the way we conduct ecological research. For this transformation to happen, we argue that data need to be more interoperable and easier to discover. One way to achieve these goals is to adopt domain-specific data representations.

PMID: 31056219 [PubMed - as supplied by publisher]