Taylor & Francis are currently supporting a 100% APC discount for all authors. An APC will not apply to any new submissions.
Data Science in Science is an open access, international journal publishing original research and reviews at the intersection of Science and Data Science.
Its aim is to advance:
- new ideas for experimental and observational data-driven learning and discovery that help address fundamental questions at the frontiers of Science and scientific inference;
- quantification and summarization of uncertainty from data-driven theories and complex Data Science models, algorithms, and workflows; and
- new practices for scientific reproducibility and replicability enabled through Data Science.
It promotes the intrinsically multidisciplinary nature of the field of Data Science and seeks explicitly science-driven advances in Data Science, and their novel, significant, or transformative applications to Science.
It fosters dedicated collaboration and convergence between the broadly defined fields of Science and Data Science through: (i) deep domain, (ii) broader inter-domain, and (iii) trans-domain collaborative research.
It encourages collective scientific learning through new collaborative and scientific methods and theories that have the potential to inform the knowledge among and strengthen the data practices of domain and data scientists.
Original research articles should encompass scientific and Data Science concepts, techniques, or computational methods and tools for addressing scientific problems in a way that is novel or beyond that of traditional disciplinary research.
Review articles should highlight important and timely applications of Data Science within a scientific discipline or insightful applications across disciplines, with comprehensive discussion of any application, specific considerations, or assumptions.
Special issues dedicated to relevant and timely special topics will also be of interest. Proposals should be emailed to the Editor-in-Chief for consideration in the first instance.
Peer Review Policy All submitted manuscripts are subject to initial appraisal by the Editors. If found suitable for further consideration, papers are subject to peer review by independent, anonymous expert referees. All peer review is double anonymized and submissions can be made online on
Submission Portal.
Publishing Ethics The Journal adheres to the highest standards of publishing ethics, with rigorous processes in place to ensure this is achieved. Taylor & Francis is a member of the
Committee of Publications Ethics (COPE) and utilizes
CrossCheck for all Journals. More information on our ethical standards and policies can be found here:
http://authorservices.taylorandfrancis.com/ethics-for-authors/.
The Journal has an appeals and complaints policy which can be viewed here:
https://authorservices.taylorandfrancis.com/peer-review-appeals-and-complaints-from-authors/.
All articles will be made freely and permanently available online through
gold open access publication.
Read the
Instructions for Authors for information on how to submit your article.
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