Beyond Academia: A case for reviews of gray literature for science-policy processes and applied research

Yuki Yoshida, Nadia Sitas, Lelani Mannetti, Patrick O'Farrell, Gabriela Arroyo-Robles, Marta Berbés-Blázquez, David González-Jiménez, Valerie Nelson, Aidin Niamir and Zuzana V. Harmáčková

No kcqem, OSF Preprints from Center for Open Science

Abstract: Gray literature is increasingly considered to complement evidence and knowledge from peer-reviewed literature for science-policy processes and applied research. On the one hand, science-policy assessments need to both consider a diversity of worldviews, knowledge types and values from a variety of sectors and actor groups, and synthesize policy-relevant findings that are salient, legitimate and credible. On the other hand, practitioners and scholars conducting applied research, especially in environmental and health-related fields, are affected by the time lag and documented biases of academic publication processes. While gray literature holds diverse perspectives that need to be integrated in science-policy processes as well as practical evidence unfiltered by commercial publication processes, its heterogeneity has made it challenging to access through conventional means for a literature review. This paper details one endeavor within the Values Assessment of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) to review gray literature using Google’s Programmable Search Engine. In the absence of a standardized approach, we build on a limited experiential knowledge base for reviewing gray literature and report on the potential applicability of our strategy for future reviews. Our results contrast the findings of our parallel review of academic literature, underlining the importance of mobilizing different knowledge bases in science-policy assessments, evidence-based practices, and applied research.

Date: 2022-10-02
New Economics Papers: this item is included in nep-env, nep-hea and nep-sog
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:kcqem

DOI: 10.31219/osf.io/kcqem

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