This online hands-on workshop is aimed at trainers and support staff looking to introduce semi-automated tools in data management training sessions/materials. It will provide a platform for discussion around best practices for introducing researchers to key principles of assessing data quality and conducting statistical disclosure control (SDC) for quantitative data. Data quality assurance and disclosure review are integral parts of research, data sharing, and preservation. Researchers collecting primary quantitative data can face several problems when preparing their data for onwards use as curating data is a complex process and a time-consuming task when done manually. The workshop will present two open source tools that aim to ease the curation process for researchers: QAMyData and sdcMicro.

UKDS data management data quality data sharing quality check

Magder, Cristina

CESSDA Main Office
United Kingdom CESSDA SP