Quantifying research waste in ecology
- PMID: 35864230
- DOI: 10.1038/s41559-022-01820-0
Quantifying research waste in ecology
Abstract
Research inefficiencies can generate huge waste: evidence from biomedical research has shown that most research is avoidably wasted and steps have been taken to tackle this costly problem. Although other scientific fields could also benefit from identifying and quantifying waste and acting to reduce it, no other estimates of research waste are available. Given that ecological issues interweave most of the United Nations Sustainable Development Goals, we argue that tackling research waste in ecology should be prioritized. Our study leads the way. We estimate components of waste in ecological research based on a literature review and a meta-analysis. Shockingly, our results suggest only 11-18% of conducted ecological research reaches its full informative value. All actors within the research system-including academic institutions, policymakers, funders and publishers-have a duty towards science, the environment, study organisms and the public, to urgently act and reduce this considerable yet preventable loss. We discuss potential ways forward and call for two major actions: (1) further research into waste in ecology (and beyond); (2) focused development and implementation of solutions to reduce unused potential of ecological research.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.
Similar articles
-
Supporting study registration to reduce research waste.Nat Ecol Evol. 2024 Aug;8(8):1391-1399. doi: 10.1038/s41559-024-02433-5. Epub 2024 Jun 5. Nat Ecol Evol. 2024. PMID: 38839851 Review.
-
The future of Cochrane Neonatal.Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12. Early Hum Dev. 2020. PMID: 33036834
-
A conceptual framework for understanding the perspectives on the causes of the science-practice gap in ecology and conservation.Biol Rev Camb Philos Soc. 2018 May;93(2):1032-1055. doi: 10.1111/brv.12385. Epub 2017 Nov 20. Biol Rev Camb Philos Soc. 2018. PMID: 29160024 Review.
-
Building Materials Made of Wood Waste a Solution to Achieve the Sustainable Development Goals.Materials (Basel). 2021 Dec 11;14(24):7638. doi: 10.3390/ma14247638. Materials (Basel). 2021. PMID: 34947233 Free PMC article.
-
Increasing value and reducing waste in biomedical research: who's listening?Lancet. 2016 Apr 9;387(10027):1573-1586. doi: 10.1016/S0140-6736(15)00307-4. Epub 2015 Sep 27. Lancet. 2016. PMID: 26423180 Review.
Cited by
-
Finding the right power balance: Better study design and collaboration can reduce dependence on statistical power.PLoS Biol. 2024 Jan 8;22(1):e3002423. doi: 10.1371/journal.pbio.3002423. eCollection 2024 Jan. PLoS Biol. 2024. PMID: 38190355 Free PMC article.
-
Poor hypotheses and research waste in biology: learning from a theory crisis in psychology.BMC Biol. 2025 Feb 4;23(1):33. doi: 10.1186/s12915-025-02134-w. BMC Biol. 2025. PMID: 39901226 Free PMC article. Review.
-
How thoughtful experimental design can empower biologists in the omics era.Nat Commun. 2025 Aug 6;16(1):7263. doi: 10.1038/s41467-025-62616-x. Nat Commun. 2025. PMID: 40769965 Free PMC article. Review.
-
Are Open Science instructions targeted to ecologists and evolutionary biologists sufficient? A literature review of guidelines and journal data policies.Ecol Evol. 2024 Jul 10;14(7):e11698. doi: 10.1002/ece3.11698. eCollection 2024 Jul. Ecol Evol. 2024. PMID: 38994214 Free PMC article.
-
Scope and financial impact of unpublished data and unused samples among U.S. academic and government researchers.iScience. 2023 Jun 19;26(7):107166. doi: 10.1016/j.isci.2023.107166. eCollection 2023 Jul 21. iScience. 2023. PMID: 37485349 Free PMC article.
References
-
- Hampton, S. E. et al. The Tao of open science for ecology. Ecosphere 6, art120 (2015). - DOI
-
- Rothstein, H. R., Sutton, A. J. & Borenstein, M. Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments (John Wiley & Sons, 2005).
-
- Sutton, A. J. in The Handbook of Research Synthesis and Meta-Analysis (eds Cooper, H. et al.) 435–452 (Russell Sage Foundation, 2009).
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous