Big-Thick Blending: A method for mixing analytical insights from big and thick data sources
A new article by Brian Due and Tobias Bornakke on the mixing of analytical insights from big and thick data sources has been made available at Sage Journals.
Recent works have suggested an analytical complementarity in mixing big and thick data sources. These works have, however, remained as programmatic suggestions, leaving us with limited methodological inputs on how to archive such complementary integration.
The article responds to this limitation by proposing a method for 'blending' big and thick analytical insights by first developing a methodological framework based on the cognitivist linguistics terminology of 'blending' and then exploring two cases in which blended spaces are crafted from engaging big and thick analytical insights with each other.