D2Refine is a clinical study metadata harmonization and validation workbench based on
OpenRefine (formerly Google Refine). It leverages the simple
spreadsheet like interface of OpenRefine to describe clinical models as row and columns. The dataset definition is represented as list of variables and the restrictions or constraints on them.
D2Refine platform includes a collection of the OpenRefine plugins that augment OpenRefine with following capabilities:
- Terminology Binding - Metadata reconciliation services leveraging the [Common Terminology Services 2 (CTS2)] (http://informatics.mayo.edu/cts2/index.php/Main_Page).
- Transformation into Standard Model - Transform listed restrictions of a data dictionary into a standardized clinical model. Currently it converts data dictionary definitions into Archetype Definition Language (ADL) format of CIMI. The Transformation to another CIMI approved formalism of Archetype Modeling Language (AML) is in progress.
More Information available at D2Refine Wiki
Sharma DK, Solbrig HR, Prud'hommeaux E, Lee K, Pathak J, Jiang G. D2Refine: A Platform for Clinical Research Study Data Element Harmonization and Standardization. AMIA Jt Summits Transl Sci Proc. 2017 Jul 26;2017:259-267. eCollection 2017. PubMed
Sharma DK, Peterson KJ, Hong N, Jiang G. The D2Refine Platform for the Standardization of Clinical Research Study Data Dictionaries: Usability Study. JMIR Hum Factors. 2018 Jul 25;5(3):e10205. doi: 10.2196/10205. PubMed