Data Science
Data Science has become an essential piece both in academia and industry to accelerate gaining insights into the generated data. As a strategy to integrate high-level analytics we created a centralized Data Science platform (DSP) that provides support to our researchers while promoting standardized data and data processes.
The DSP team aims to make data science more accessible and inclusive at DTU Biosustain and across the DTU Community. The platform follows a data-centric approach that focuses on data infrastructure, processes, and outputs as ongoing, evolving products rather than one-time projects. Each data product is designed as a multidisciplinary collaboration involving the entire data lifecycle and pursuing standardization and automation, and with data usage in mind.
The DSP is based on four pillars: – Support – Education – Innovation – Tooling
Support: focusing on providing researchers and core functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning.
Education: developing a training program focused on data science literacy, guiding researchers through different levels to become data-aware and proficient in data science.
Innovation: introducing researchers to new computational biology methods and technologies and modernize the data science landscape at the Centre.
Tool development: building standard tools that can be shared across the Centre and open sourced for the entire community to use.
If you want to learn more about our focus areas, please contact datascience@biosustain.dtu.dk or Alberto Pallejà Caro.
Contact
Alberto Pallejà Caro Team Lead Data Science Platform apca@biosustain.dtu.dk