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tools such as online spreadsheets and ultimately they
have driven us to the development of SciModeler. Our
aim is to revisit that initial exercise and demonstrate
to the behavior change community how the model-
based approach reported here can be used to develop
a more unified theory for that field. At the same time,
we aim to validate the current metamodel with other
researchers, especially from the field of health behav-
ior change. This may yield improvement directions
for our metamodel. For example, researchers may ex-
press the need to actually discuss classifications, in-
stead of only being able to ‘up-vote’ them.
Finally, at the level of the SciModeler metamodel,
future work is to decompose the text-based node at-
tributes into more fine-grained sub-graph structures.
That would for example enable the query-based re-
trieval of studies that are recorded within the con-
text of a high-school, with a duration of at least eight
weeks per intervention. Until then, the Neo4j’s query
language fortunately offers support for regular ex-
pressions on node attribute values.
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SciModeler: A Metamodel and Graph Database for Consolidating Scientific Knowledge by Linking Empirical Data with Theoretical
Constructs
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