Improving Data Quality by Data Reviews and Tagging: First Pilot Experiences

Part of our data archive is open for self-archiving, which requires that researchers who deposit their data add metadata themselves. In line with this practice and current trends such as Web 2.0. we are interested in enriching our current metadata with user reviews. Moreover, whereas research quality is also measured by the number and quality of publications, it makes sense to value the quality of the underlying data and the degree to which they are fit for re-use. Therefore we recently carried out a pilot study among researchers who downloaded data sets from our archive. We asked them to review the downloaded data set on several dimensions and also to provide keywords "tags" that should help other researchers to find this data set. Next, we have presented both the tags and the averaged review scores as part of that set's metadata. In this presentation we will give an impression of the reviews and the user tags and how these tags relate to professional keywords.