Daniel Woulfin (GSLIS Class of 2020) has recently published ‘rddi’ and ‘diyddi curator’, two innovative pieces of software that are designed to streamline and improve curation for human survey data.He has recently conducted internal and external presentations about the software, including a recent one to code4lib NYC. Dan is currently a Data Associate at Global TIES for Children, which is an international research center in science for education at New York University.

`rddi` is an R package designed to generate Data Documentation Initiative (DDI) codebooks. DDI is the metadata standard for human survey research data. The package has been accepted on the Comprehensive R Archive Network (CRAN), a curated software repository for R packages. rddi is located at https://github.com/nyuglobalties/rddi and can be installed in R by running `install.packages("rddi")`.

diyddi curator is an openly-licensed web application written in R that eases the process of curating human survey research data. Based on DDI, it allows the researcher to input and change metadata so that datasets abide by the "FAIR Guiding Principles for scientific data management and stewardship." diyddi generates two kinds of files from the metadata: a human-readable README file as HTML and PDF and a machine-readable DDI codebook as XML. diyddi is located at https://github.com/nyuglobalties/diyddi and can be installed in R by running `devtools::install_github("nyuglobalties/diyddi")`