Annotation for Transparent Inquiry

Datalab Faculty

Nic Weber

Project Description

The Qualitative Data Repository and Hypothesis ( have partnered to develop a new approach to achieving transparency in qualitative and multi-method research: Annotation for Transparent Inquiry (ATI). ATI builds on “active citation,” an earlier approach pioneered by Andrew Moravcsik. Using ATI empowers social scientists to develop “data supplements” that can be linked directly to digital publications on multiple platforms. An ATI Data Supplement includes two sections: a “Data Overview” and a set of digital annotations (potentially linked to underlying data sources). The annotations elucidate the data and analysis on which the publication is based. ATI employs “open annotation,” which allows for the generation, sharing, and discovery of digital annotations across the web (Sanderson et al. 2017).