SciModeler: A Toolbox for Consolidating Scientific Knowledge within the Field of Health Behavior Change

Abstract Science aims to build and advance general theories from empirical data. This process is complicated by the immense volume of data scientific in some domains, for example field health behavior change. Especially, a systematic mapping between theoretical constructs lacking. We propose toolbox establish that mapping. adopted modeling approach based on literature surveys elicit requirements derive metamodel. graph-based database system implement metamodel, designed web-based tool importing annotated text documents. To evaluate (named SciModeler ), we have conducted case study within change record three theories, studies, in-between. documented how aids closing gaps constructs. demonstrated this enables new types analyses sharing queries (1) refining (2) exploring promising intervention strategies specific context, (3) checking potential impact an platform context. Our supplementary materials promote replication these results. can support consolidation knowledge change, suggest it may be applied other fields, as well. An important direction future work promoting online collaboration graphs.