Approaches and methods used to bring together Indigenous and Environmental Science Knowledge in environmental research: A systematic map

The bringing together of Indigenous Knowledge (IK) and Environmental Science Knowledge (ESK) in environmental research has the potential to strengthen ecological understanding, inform management decisions, and support Indigenous environmental stewardship. While previous studies have explored aspects of how these knowledge systems are brought together—such as the guiding principles, research design, and methods for collecting information—the ways in which IK and ESK are combined at the data level remain poorly documented. Without a clear understanding of what happens when data from these knowledge systems are linked—how it is combined, analysed, and interpreted—it is difficult to assess various aspects of the outcome of these efforts. This highlights the need to systematically map and describe the approaches and methods used to weave or link IK-ESK datasets in environmental research. 
A systematic mapping protocol was applied to identify, gather, and review English-language peer-rev..., , # Approaches and methods used to bring together Indigenous and Environmental Science Knowledge in environmental research: A systematic map

Dataset DOI: [10.5061/dryad.8kprr4z2t](https://doi.org/10.5061/dryad.8kprr4z2t)

## Description of the data and file structure

This systematic map was conducted using a previously established mapping protocol (see Pirie et al., 2024) and follows guidelines published by Collaboration for Environmental Evidence (CEE, 2018) and RepOrting standards for Systematic Evidence Syntheses (Haddaway et al., 2018). We used a standardized search string across four online bibliographic databases. Articles in English relevant to the review objectives were systematically searched through four online bibliographic databases: ISI Web of Science Core Collection, EBSCOhost Bibliography of Native North Americans, ProQuest International Bibliography of Social Sciences, and EBSCOhost Academic Search Elite. Data from included articles (i.e., each article remaining after fu..., ,