Reproducible computational research (RCR) is the keystone of the scientific method for in
silico analyses, packaging the transformation of raw data to published results. In addition to …

Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between
Data Science and Metadata Page 1 19 Expert Review JDIS Journal of Data and Information …

Data-driven approaches to scientific research have generated new types of repositories that
provide scientists the means necessary to store, share and re-use big data-sets generated at …

Purpose Research data management (RDM) comprises all processes, which ensure that
research data are well-organized, documented, stored, backed up, accessible, and …

Poor quality metadata can have negative impact not only on the way research datasets are
retrieved, shared and used by scientists, but also on the way research data repositories are …

Dublin Core descriptors capture metadata in most repositories, and this includes recent
repositories dedicated to datasets. DC descriptors are generic and are being adapted to the …

Research Object (RO) repositories extend traditional forms of scholarly communication by
providing scientists the means necessary to store, share and reuse datasets generated at …

Newly developed technologies and methods for the purpose of controlling uncertainty in
technical systems must be proven and validated against reliable experimental studies. The …

Research Data repositories are growing in terms of volume rapidly and exponentially. Their
main goal is to provide scientists the essential mechanism to store, share, and re-use …

EDITOR'S SUMMARY While the value of information is widely recognized, the next step is
recognizing metadata as an economic asset. Generating metadata involves costs in …