Welcome to the third issue of volume 44 of the IASSIST Quarterly (IQ 44(3) 2020). Transparency is a prerequisite for valid analysis of data. Full disclosure of all aspects of the creation process is necessary for the evaluation of a data collection. The Roper Center has collaborated, assembled and developed standards, and performed scoring of datasets to facilitate the evaluation of data. It is easy to say that all aspects of data collection are important, but with more knowledge about the process of data curation PhD students become aware of how it is important for their research.