Data Management for Data Science (R-11869)

Data is a key asset in modern society. Data Science, which focuses on deriving valuable insight and knowledge from raw data, is indispensable for any economic, governmental, and scientific activity. Data Management is the practice of collecting, keeping, and using data robustly, efficiently, and cost-effectively. The goal of data management is hence to help optimize the use of data. The "Data Management for Data Science" BOF-ZAP project will develop research and innovation at the intersection of Data Science and Data Management. The objective is to develop principled foundations in Computer Science for the end-to-end management of the full lifecycle of data, from capture to exploitation by data scientists. To that end, the project will study the foundations on which declarative specifications, reasoning, and optimization across individual tasks in the data science lifecycle can be built.

Keywords:Data management systems, Data science, Declarative query languages

Disciplines:Knowledge representation and reasoning, Machine learning and decision making, Knowledge management, Database systems and architectures