Data Science Core

Core 1. Abstract Data Science Core The Data Science Core aims to streamline TeamBCP's data management and sharing by overhauling its server infrastructure and data conversion pipelines. Recognizing the existing barriers to data sharing and re-use, the Core is committed to organize datasets according to established guidelines for public dissemination. Our

approach will ensure that datasets adhere to these norms and standards from the outset, as data are stored and aggregated. Specialized data repositories will be established at each performance site, integrated with existing infrastructures, and optimized for quick database queries and data analysis. Data conversion and processing

pipelines will be developed to align with researchers' workflows, facilitating data transfer to local repositories and supporting collaborative efforts. Publication to online data repositories will be greatly facilitated by the integrated conversion to standard formats. Tools for data analysis will also be packaged and distributed for ease of use and

reproducibility. Additionally, a secure web portal will be introduced to provide centralized access to all TeamBCP data, offering functionalities for data visualization and annotation. Through these initiatives, the Core aims to facilitate research, collaboration, and public data sharing.