Cited by 180Meta-analysis and systematic reviewsOptics and Image Analysisscientometrics and bibliometrics research

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Shades of grey: Two forms of grey literature important for reviews in conservation

Haddaway, Neal R., Bayliss, Helen R.·2015·Biological Conservation

Abstract

Methods for reviewing research, such as systematic reviews and syntheses, are becoming increasingly common in conservation. It is widely recognised that grey literature, research not published in traditional academic journals, forms a vital part of the evidence base of these reviews. To date guidance and practice in searching for and including grey literature in conservation reviews has taken a broad approach, involving searching of a wide variety of resources. We argue that there are two distinct forms of grey literature and that each must be considered separately in order to assess potential importance and an appropriate searching strategy for every review undertaken. ‘File drawer’ research is as yet unpublished academic research that is important for countering possible publication bias and can be targeted via specific repositories for preprints, theses and funding registries, for example. ‘Practitioner-generated research’ includes organisational reports, government papers and monitoring and evaluation reports, and is important for ensuring comprehensiveness in conservation reviews. By considering the relative importance and appropriate strategies for inclusion of both types of grey literature, reviewers can optimise resource efficiency and comprehensiveness, and minimise publication bias.

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Crossref · 10.1016/j.biocon.2015.08.018

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  • Grey literature is a crucial component of a systematic study helping reduce publication bias.

    “Grey literature is a crucial component of a systematic study helping reduce publication bias which can affect the results of a systematic review or map (Haddaway and Bayliss 2015, Collaboration for Environmental Evidence 2018).”

    From Framing climate change for effective communication: a systematic map (2020) · cites this paper as Haddaway and Bayliss 2015

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References 21 · Cited by 180

Research works printed but not linked: 18

  1. Collaboration for Environmental Evidence, 2013, Guidelines for systematic review and evidence syntheses in environmental management
  2. Corlett, 2011, Trouble with the gray literature, Biotropica, 43, 3, 10.1111/j.1744-7429.2010.00714.x · DOI
  3. Dicks, 2014, Organising evidence for environmental management decisions: a ‘4S’ hierarchy, Trends Ecol. Evol., 29, 607, 10.1016/j.tree.2014.09.004 · DOI
  4. Doerr, 2015, Maximizing the value of systematic reviews in ecology when data or resources are limited, Austral Ecol., 40, 1, 10.1111/aec.12179 · DOI
  5. Gates, 2002, Review of methodology of quantitative reviews using meta-analysis in ecology, J. Anim. Ecol., 71, 547, 10.1046/j.1365-2656.2002.00634.x · DOI
  6. Glasziou, 2002, Investigating causes of heterogeneity in systematic reviews, Stat. Med., 21, 1503, 10.1002/sim.1183 · DOI
  7. Gurevitch, 1999, Statistical issues in ecological meta-analyses, Ecology, 80, 1142, 10.1890/0012-9658(1999)080[1142:SIIEMA]2.0.CO;2 · DOI
  8. Jennions, 2002, Publication bias in ecology and evolution: an empirical assessment using the ‘trim and fill’ method, Biol. Rev. Camb. Philos. Soc., 77, 211, 10.1017/S1464793101005875 · DOI · Paper page
  9. Koricheva, 2003, Non-significant results in ecology: a burden or a blessing in disguise?, Oikos, 102, 397, 10.1034/j.1600-0579.2003.12353.x · DOI · Paper page
  10. Koricheva, 2014, Uses and misuses of meta-analysis in plant ecology, J. Appl. Ecol., 102, 828
  11. Lortie, 2014, Formalized synthesis opportunities for ecology: systematic reviews and meta-analyses, Oikos, 123, 897, 10.1111/j.1600-0706.2013.00970.x · DOI
  12. Lortie, 2007, Publication bias and merit in ecology, Oikos, 116, 1247, 10.1111/j.0030-1299.2007.15686.x · DOI · Paper page
  13. Pullin, 2010, Save the whales? Save the rainforest? Save the data!, Conserv. Biol., 24, 915, 10.1111/j.1523-1739.2010.01537.x · DOI
  14. Pullin, 2006, Guidelines for systematic review in conservation and environmental management, Conserv. Biol., 20, 1647, 10.1111/j.1523-1739.2006.00485.x · DOI · Paper page
  15. Smith, 1980, Publication bias and meta-analysis, Eval. Educ., 4, 22, 10.1016/0191-765X(80)90004-X · DOI
  16. Sutherland, 2005, How can we make conservation more effective?, Oryx, 39, 1, 10.1017/S0030605305000013 · DOI
  17. Sutherland, 2004, The need for evidence-based conservation, Trends Ecol. Evol., 19, 305, 10.1016/j.tree.2004.03.018 · DOI · Paper page
  18. Sutherland, 2013, Conservation practice could benefit from routine testing and publication of management outcomes, Conserv. Evid., 10, 1

Metadata

Authors
Haddaway, N. R., & Bayliss, H. R.
Affiliations
  • Royal Swedish Academy of Sciences (SE)
  • Bangor University (GB)
Corresponding author
Haddaway, Neal R.
Venue
Biological Conservation
Publisher
Elsevier BV
Published
2015-11
Volume
191
Pages
827-829
ISSN
0006-3207 (ISSN-L)
OpenAlex
W1179295656
Cited by
180
References
21
Citations by year
2026: 23 · 2025: 26 · 2024: 29 · 2023: 25 · 2022: 22 · 2021: 17 · 2020: 6 · 2019: 5 · 2018: 9 · 2017: 10 · 2016: 6 · 2015: 2
FWCI
8.20
Type
journal article
Language
en
Open access
closed
Locations
Biological Conservation (publishedVersion)
Funders
Stiftelsen för Miljöstrategisk Forskning
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Library and Information Sciences › Optics and Image Analysis
  • Social Sciences › Library and Information Sciences › scientometrics and bibliometrics research
Keywords
grey literature, publication bias, systematic reviews, evidence base, search strategies, preprints, conservation research

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