Journal of Data Analytics is a peer-reviewed, open-access journal on data in science, with the aim of enhancing data transparency and reusability.  The  Journal of Data  Analytics (JDA) brings together thought leaders, researchers, industry practitioners, and potential users of data science and analytics, to develop the field, discuss new trends and opportunities, exchange ideas and practices, and promote transdisciplinary and cross-domain collaborations. This journal supports scholarly articles in areas related to data science such as data mining, data analysis, big data, IoT, blockchain technology and other related disciplines in a variety of industrial and academic sectors. This journal is published bi-quarterly by ISNet International Publications.