Yifan Gao, Zakariyya Mughal, Jose A. Jaramillo-Villegas, Marie Corradi, Alexandre Borrel, Ben Lieberman, Suliman Sharif, John Shaffer, Karamarie Fecho, Ajay Chatrath, Alexandra Maertens, Marc A. T. Teunis, Nicole Kleinstreuer, Thomas Hartung, Thomas Luechtefeld
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BioBricks.ai: A Versioned Data Registry for Life Sciences Data Assets
Researchers in biomedical research, public health, and the life sciences
often spend weeks or months discovering, accessing, curating, and integrating
data from disparate sources, significantly delaying the onset of actual
analysis and innovation. Instead of countless developers creating redundant and
inconsistent data pipelines, BioBricks.ai offers a centralized data repository
and a suite of developer-friendly tools to simplify access to scientific data.
Currently, BioBricks.ai delivers over ninety biological and chemical datasets.
It provides a package manager-like system for installing and managing
dependencies on data sources. Each 'brick' is a Data Version Control git
repository that supports an updateable pipeline for extraction, transformation,
and loading data into the BioBricks.ai backend at https://biobricks.ai. Use
cases include accelerating data science workflows and facilitating the creation
of novel data assets by integrating multiple datasets into unified, harmonized
resources. In conclusion, BioBricks.ai offers an opportunity to accelerate
access and use of public data through a single open platform.