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What kinds of data are included in Data on the Mind's data resources?

We are interested in highlighting datasets, repositories, and lists that can shed new light on human behavior and cognition. Although we certainly welcome links to large-scale experimentally derived datasets or repositories, we are especially interested in naturally occurring datasets -- that is, data that have been generated outside of the lab. For example, restaurant reviews can shed light on language and emotion, and betting data could reveal dynamics of decision-making and risk-taking. Datasets do not have to be truly massive to be considered for inclusion: True to the spirit of the four V's of big data proposed by IBM, we are interested in highlighting datasets that are interesting, large-scale, and complex.

Unfortunately, we do not have data storage capabilities at Data on the Mind, so all data resources must be hosted elsewhere. More information on how to submit a data resource to our lists can be found on our data resource suggestion form.