In automating data wrangling, a key feature of VADA is that the automation takes account of the data context and the user context. The data context is supplementary data about the result of the data wrangling process. The user context is information about what is important to the user, as likely there are trade-offs between different features of the result, such as the correctness and the completeness.
A paper on data context  was presented in December 2017 at IEEE Big Data in Boston, and a paper on the user context for source selection  has been published in Information Sciences.
- Koehler, M., Bogatu, A., Civili, C., Konstantinou, N., Abel, E., Fernandes, A. A. A., Keane, J., Libkin, L., Paton, N. W. (2017). Data Context Informed Data Wrangling. IEEE 2017 International Conference on Big Data (IEEE Big Data 2017).
- Abel, E., Keane, J., Paton, N. W., Fernandes, A. A. A., Koehler, M., Konstantinou, N., Ríos, J.C.C., Azuan, N., Embury, S. M. (2018). User Driven Multi-Criteria Source Selection. Information Sciences, 430–431, 179–199. https://doi.org/10.1016/j.ins.2017.11.019