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This article explores the importance of sharing code, addresses common reservations among researchers, and provides practical advice on how to share effectively. By increasing transparency and releasing code as open source, researchers not only meet the requirements of funding agencies and publications but also stimulate institutional, national, and global research progress.

This article shows how researchers can make use of an open source data dictionary tool called SchemaSpy to help create professional, easy-to-understand documentation for their datasets. Specific instructions are provided for Oracle, Microsoft SQL Server, CSV, SQlite, R, and Python + Pandas.