Considerations for recruiting contributions to anonymised data sets

Abstract

For the improvement and evaluation of learning management systems as well as concepts and tools for personal history, the availability of suitable data has become increasingly important. In this paper we discuss considerations for creating such a data set and report on our experiences while recruiting contributions for the Web History Repository project (WHR). We focus on measures and techniques for addressing privacy issues and strategies for motivating people to contribute. We briefly report on the outcomes of the first rounds of analysis of the data set and discuss implications for educational data mining.