Addressing Digital Data Citation and Attribution: Data Center Roles and Best Practices
W. Christopher Lenhardt,
CIESIN/SEDAC - Columbia University
The sociology of modern science has at its core reproducibility. Reproducibility cannot be verified without confidence in the provenance of the underlying data as evidenced by periodic scandals resulting from fabricated scientific data. Related to provenance is attribution. Getting credit for one's data is a key component of the sociology of science. Attribution is also a critical stumbling block for access to scientific data. Digital scientific data and accompanying technology, such as interoperability standards, presents new challenges for accepted scientific norms and methods. The proposed paper will focus on efforts within the social science data community to address these concerns. The social science domain covers the perspective of tabular socioeconomic data as well as survey data.