Searching for grey literature for systematic reviews: challenges and benefits

By Quenby Mahood, D. Van Eerd, E. Irvin. Research Synthesis Methods, 2014

725 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/60bb115489986297fc2c2a57258efefc2c634800

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Neal R Haddaway
2. Michael Gusenbauer
3. Daniel S. Schiff
4. Raminta Pranckute
5. M. Hiebl

Citations in the corpus

• Gamification: a systematic review of design frameworks (2017, neutral): “Including grey literature can broaden the scope to a wider range of relevant studies, thereby providing a more complete overview of available evidence (Mahood et al. 2014).”
• Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources (2020, background): “We do not test the searchers' ability to formulate such strings/queries(40-44) and we do not test the completeness of the underlying dataset provided by the search system.(24,45) This study instead examines the search system as the gatekeeper that mediates between a database of potentially relevant ”
• A Survey on Blockchain Interoperability: Past, Present, and Future Trends (2020, background): “We give special attention to grey literature, as some authors defend that it includes “a broader scope of literature, providing a more comprehensive view of the available evidence” [98, 117].”
• Applying systematic review search methods to the grey literature: a case study examining guidelines for school-based breakfast programs in Canada (2015, background): “grey literature searches identifying web-based resources [3, 8–10].”
• Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, methodology): “As the literature here is best understood as “grey literature” (Mahood et al. 2014), the data collection process relied on linkhubs, web searching via Google, and hand searching.”