Vada

Our paper on data context informed data wrangling has been accepted at IEEE Big Data'17

Our paper on user driven multi-criteria source selection has been accepted in the Information Sciences Journal, Elsevier

VADA demo paper accepted at SIGMOD'17

VADA: Value added data systems – principles and architecture

Cost-effective data wrangling processes need to ensure that data wrangling steps benefit from automation wherever possible. In this project, I work on the challenge of automating the steps in data wrangling by informing them with data context: data from the domain in which wrangling is taking place.
UK EPRSC project grant, April 2015 - March 2020

Started as research associate at University of Manchester in the VADA project

I started a new position at the School of Computer Science, University of Manchester to work on the VADA: Value Added Data Systems - Principles and Architectures. My main responsibilities will be research on data integration and wrangling at scale.