Rossella Arcucci, leading the Data Learning Group at Imperial College London, in her post about this paper on LinkedIn, January 2025:
“The first paper published in 2025 by the Data Learming group is a service to the growing community of data scientists who face (and mitigate) challenges when working with real-world data.
For the data to be considered high quality, it must be: an Accurate reflection of the real world scenario, comprehensively Complete information, from a Reliable source, containing Relevant information and temporally relevant in it’s Timeliness.
This usually happens only in our dreams!!!
In reality… it is vital that methods which mitigate these shortfalls are further developed and implemented to alleviate the effects of data deficiencies.
This paper aims to serve as a guide for data scientists looking to identify, understand and mitigate the problems they may encounter as a result of using real world data.“
