About This Journal

Numbers

aims to publish articles authored by academic researchers, industry practitioners, data managers, and in particular, collaborations between two or more of the aforementioned, in order to highlight the significance, disruptive potential and efficacy of large primary and secondary datasets with regard to the frontiers of our understanding in Science, Technology, Engineering, and Mathematics (STEM) and Arts, Humanities and Social Sciences (AHSS).

As such, we welcome submissions pertaining to experimental and theoretical data science and innovative analytics, in addition to actual and potential applications, and comprehensive reviews of literature, software and algorithms. In order to appropriately address the development of born digital and converted data as perhaps the most critical factor underpinning future human development, innovation and understanding, topics of relevance include, but are not limited to:
Data system/base descriptions and open-access hosting
Data processing software, models, algorithms and architecture
Data governance, reproducibility, transparency, sharing, privacy and security
Big data creation, management, and processing
Data analytics (incl. business, consumer, mobile, Web/online, text, medical/biological and networks), visualisation, mapping and modelling
Data mining, machine learning, and deep learning
Cloud and high-performance computing
(Meta)Data standards
Multi/Trans-disciplinary and Crowdsourcing Data