R. Cadman, Mary E. Dicker, Mary Denniston, P. McCarney, R. Laing, Eric C.J. Oliver, Megan Bailey
{"title":"Using the Framework Method to support collaborative and cross-cultural qualitative data analysis","authors":"R. Cadman, Mary E. Dicker, Mary Denniston, P. McCarney, R. Laing, Eric C.J. Oliver, Megan Bailey","doi":"10.1139/facets-2022-0147","DOIUrl":null,"url":null,"abstract":"With Inuit organizations leading the way, there is a growing opportunity for meaningful partnerships between Inuit and visiting researchers to create impactful research programs and policy initiatives that reflect Inuit priorities. Collaborative research methods, where Inuit and visiting researchers work together to meet community needs, offer a potential avenue for braiding knowledge systems, and therefore have become an increasingly popular way to conduct research in the Arctic. In this paper, we outline our use of the data analysis method known as the “Framework Method” during the Imappivut Knowledge Study, a participatory mapping project led by the Nunatsiavut Government. We reflect on both the method's applicability and its usefulness for future research conducted in collaboration between Inuit and non-Inuit researchers. We find that the Framework Method allowed us to work in an iterative and adaptive manner, resulting in comprehensive findings for marine spatial planning. The method also supported data sovereignty for the Nunatsiavut Government. The Framework Method can be used to allow Nunatsiavut greater control over the data internally and self-determining access to external researchers.","PeriodicalId":48511,"journal":{"name":"Facets","volume":" ","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Facets","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1139/facets-2022-0147","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
With Inuit organizations leading the way, there is a growing opportunity for meaningful partnerships between Inuit and visiting researchers to create impactful research programs and policy initiatives that reflect Inuit priorities. Collaborative research methods, where Inuit and visiting researchers work together to meet community needs, offer a potential avenue for braiding knowledge systems, and therefore have become an increasingly popular way to conduct research in the Arctic. In this paper, we outline our use of the data analysis method known as the “Framework Method” during the Imappivut Knowledge Study, a participatory mapping project led by the Nunatsiavut Government. We reflect on both the method's applicability and its usefulness for future research conducted in collaboration between Inuit and non-Inuit researchers. We find that the Framework Method allowed us to work in an iterative and adaptive manner, resulting in comprehensive findings for marine spatial planning. The method also supported data sovereignty for the Nunatsiavut Government. The Framework Method can be used to allow Nunatsiavut greater control over the data internally and self-determining access to external researchers.