Knowledge about work processes is a prerequisite for performing work. We investigate whether a certain mode of knowledge, knowing-why, affects work performance and whether the knowledge held by different work roles matters for work performance. We operationalize these questions in the specific domain of data production processes and data quality. We analyze responses from three roles within dat...

To be effective and at the same time sustainable, a community data curation model needs to be aligned with the community’s current data practices, including research project activities, data types, and perceptions of data quality. Based on a survey of members of the Condensed Matter Physics (CMP) community gathered around the National High Magnetic Field Laboratory, a large national laboratory,...

In this report methods to evaluate the costs of non-quality are studied. It is possible to associate with this measurement an economic evaluation of data value. Different components of total costs will be considered, both organizational and related to data management costs.

Mixed modes (MM) are receiving increased interest as a possible solution for saving costs in panel surveys, although the lasting effects on data quality are unknown. To better understand the effects of MM on panel data I will examine its impact on random and systematic error and on estimates of change. The SF12, a health scale, in the Understanding Society Innovation Panel is used for the analy...

As data warehousing has evolved to become the technology of choice for developing data infrastructure in virtually every large company and many other mediumand small-sized firms, data warehousing has also received extensive research attentions from both academics and practitioners. Although several previous studies have investigated success factors and implementation of data warehousing, only f...

Introduction Communicable disease surveillance is a core Public Health function. Many diseases must be reported to state and federal agencies (1). To manage and adjudicate such cases, public health stakeholders gather various data elements. Since cases are identified in various healthcare settings, not all information sought by public health is available (2) resulting in varied field completene...

Dependencies among data quality dimensions, although they are not thoroughly and deeply analyzed in the research area of information quality, represent an issue of primary importance. The knowledge on dependencies can help the data quality analyst in finding errors, it can be useful to assess the quality level of a data set, which can improve knowledge on data quality dimensions. This paper pro...