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Patterns

Cell Press (United States)

Patterns publishes ground-breaking original research across the full breadth of data science.
Patterns brings together research from across domains in academia and industry to:
share knowledge about how to best develop and run

Patterns publishes ground-breaking original research across the full breadth of data science.
Patterns brings together research from across domains in academia and industry to:
share knowledge about how to best develop and run data science infrastructures, tools, and services,
communicate solutions and best practices for data science algorithms and methodologies,
discuss the human and environmental impact of decisions made using data science, and
develop new cross-disciplinary methods for efficient data analysis, processing, archiving, and use.
Patterns publishes original research in data science, particularly focusing on solutions to the cross-disciplinary problems that all researchers face when dealing with data, and articles about datasets, software code, algorithms, infrastructures, etc., with permanent links to these research outputs.

Sciences and techniques: multidisciplinary
Mathematics, computer science
Open access
Self-archiving
Publication languages
  • English
Journal reputation
Last updated : 01/02/2024

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