SafetyLit Journal Details

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Patterns (New York, N.Y.)

Abbreviation: Patterns (N Y)

Published by: Cell Press

Publisher Location: New York, NY, USA

Journal Website:
https://www.sciencedirect.com/journal/patterns

Alt: URL:
https://www.ncbi.nlm.nih.gov/pmc/journals/3955/

Range of citations in the SafetyLit database: 2020; 1(6) -- 2022; 3(8)

Publication Date Range: 2020 --

Title began with volume (issue): 1(1)

Number of articles from this journal included in the SafetyLit database: 8
(Download all articles from this journal in CSV format.)

eISSN = 2666-3899
LCCN = 2020243154 | USNLM = 101767765 | OCLC = 1150188242

Find a library that holds this journal: http://worldcat.org/issn/26663899

Journal Language(s): English

Aims and Scope (from publisher): Patterns is a premium open access journal from Cell Press, publishing ground-breaking original research across the full breadth of data science. Data are the foundation of all research, and all data are in scope, regardless of original domain. 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. Patterns also promotes cross-community conversation by publishing opinion pieces and review articles. Patterns is committed to the high-quality publishing values shown by its sister journals in Cell Press. Patterns will publish top-tier original research and provide a fair, rapid, and rigorous peer-review process via a dedicated team of professional editors, supported by the expertise of our scientific advisory board.

Articles in database by volume, issue.