Reproducibility and Open Science in Environmental Research

Grant number: FT150100297 | Funding period: 2016 - 2023

Active

Abstract

The goal of this project is to improve the reproducibility and transparency of environmental science. Disturbingly low levels of reproducibility have recently been uncovered in other disciplines, and there are good reasons to suspect the same conditions in environmental science. However, it has thus far been excused from evaluation because of the large spatial scales, long time horizons and dependencies among processes that prohibit direct replication of empirical field research. The project plans to assess the reproducibility of environmental research and develop systematic review methods that account for bias in published research. In this way, it seeks to contribute to the standards for s..

View full description

Related publications (11)

Scholarly works icon

The role of replication studies in ecology

Hannah Fraser, Ashley Barnett, Timothy H Parker, Fiona Fidler

2020-05-22

Recent large-scale projects in other disciplines have shown that results often fail to replicate when studies are repeated. The co..

Scholarly works icon

Revisiting the promise of conservation psychology

Matthew J Selinske, Georgia E Garrard, Sarah A Bekessy, Ascelin Gordon, Alexander M Kusmanoff, Fiona Fidler

2018-12-01

Scholarly works icon

Questionable research practices in ecology and evolution

Hannah Fraser, Tim Parker, Shinichi Nakagawa, Ashley Barnett, Fiona Fidler

2018-07-16

We surveyed 807 researchers (494 ecologists and 313 evolutionary biologists) about their use of Questionable Research Practices (Q..

Scholarly works icon

Empowering peer reviewers with a checklist to improve transparency

Timothy H Parker, Simon C Griffith, Judith L Bronstein, Fiona Fidler, Susan Foster, Hannah Fraser, Wolfgang Forstmeier, Jessica Gurevitch, Julia Koricheva, Ralf Seppelt, Morgan W Tingley, Shinichi Nakagawa

2018-06-01

Peer review is widely considered fundamental to maintaining the rigour of science, but it often fails to ensure transparency and r..

Scholarly works icon

The Epistemic Importance of Establishing the Absence of an Effect

Fiona Fidler, Felix Singleton Thorn, Ashley Barnett, Steven Kambouris, Ariel Kruger

2018-06-01

Scholarly works icon

Improving the transparency of statistical reporting in Conservation Letters

Fiona Fidler, Hannah Fraser, Michael A McCarthy, Edward T Game

2018-03-01

Scholarly works icon

Redefine statistical significance

Daniel J Benjamin, James O Berger, Magnus Johannesson, Brian A Nosek, E-J Wagenmakers, Richard Berk, Kenneth A Bollen, Bjoern Brembs, Lawrence Brown, Colin Camerer, David Cesarini, Christopher D Chambers, Merlise Clyde, Thomas D Cook, Paul De Boeck, Zoltan Dienes, Anna Dreber, Kenny Easwaran, Charles Efferson, Ernst Fehr

2018-01-01

Scholarly works icon

Reproducibility of scientific results

Fiona Fidler, John Wilcox

2018-01-01

Scholarly works icon

Metaresearch for Evaluating Reproducibility in Ecology and Evolution

Fiona Fidler, Yung En Chee, Bonnie C Wintle, Mark A Burgman, Michael A Mccarthy, Ascelin Gordon

2017-03-01

Recent replication projects in other disciplines have uncovered disturbingly low levels of reproducibility, suggesting that those ..

Scholarly works icon

Fraud Not a Primary Cause of Irreproducible Results: A Reply to Clark et al

Timothy H Parker, Wolfgang Forstmeier, Julia Koricheva, Fiona Fidler, Jarrod D Hadfield, Yung En Chee, Clint D Kelly, Jessica Gurevitch, Shinichi Nakagawa

2016-12-01

Scholarly works icon

Transparency in Ecology and Evolution: Real Problems, Real Solutions

Timothy H Parker, Wolfgang Forstmeier, Julia Koricheva, Fiona Fidler, Jarrod D Hadfield, Yung En Chee, Clint D Kelly, Jessica Gurevitch, Shinichi Nakagawa

2016-09-01

To make progress scientists need to know what other researchers have found and how they found it. However, transparency is often i..

University of Melbourne Researchers